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Building the world’s best sports intelligence platform.
ABOUT US
Professional sports teams are currently engaged in a billion-dollar arms race to squeeze wins out of data. While early innovations in sports analytics largely relied on simple techniques, many teams are struggling to handle emergent challenges with the complex data sources now dominating the space. At Zelus Analytics, our mission is to address these challenges by building the world’s leading sports intelligence platform. In so doing, we intend to help the professional teams in our exclusive partner network compete and win championships.

OUR TEAM

Doug Fearing
Co-Founder & CEO
Doug founded the Dodgers R&D department, grew it to a staff of 20 over four seasons, and reached the World Series in both 2017 and 2018...
Doug founded the Dodgers R&D department, grew it to a staff of 20 over four seasons, and reached the World Series in both 2017 and 2018. While a faculty member at Harvard and then UT Austin (2010-2015), he was the Senior Advisor to the Rays R&D team, and he received an MIT SSAC research award in 2013. Doug has a Ph.D. in Operations Research from MIT.
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Luke Bornn
Co-Founder & Chief Scientist
After leading analytics efforts at the Italian soccer club A.S. Roma, Luke took on the role of VP of Strategy & Analytics for the Sacramento Kings in...
After leading analytics efforts at the Italian soccer club A.S. Roma, Luke took on the role of VP of Strategy & Analytics for the Sacramento Kings in 2017. He received MIT SSAC research awards in 2015 and 2019, and was on the faculty at Harvard College and Simon Fraser University. He received his M.S. and Ph.D. in Statistics from the University of British Columbia.
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Inderpal Singh
Chief Operating Officer
Prior to joining Zelus, Inderpal founded Northshore Partners, a boutique strategy consulting firm. Previously, he spent time in...
Prior to joining Zelus, Inderpal founded Northshore Partners, a boutique strategy consulting firm. Previously, he spent time in executive roles at Bridgewater and HSBC. He also worked as a Strategy Consultant with McKinsey & Company and in Product at Microsoft. He holds an Honors B.Math in Computer Science from the University of Waterloo and an MBA from the Kellogg School of Management.
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Dan Cervone
Co-Founder & Principal Data Scientist
The former Director of Quantitative Research with the LA Dodgers and Moore-Sloan Fellow at NYU’s Center for Data Science...
The former Director of Quantitative Research with the LA Dodgers and Moore-Sloan Fellow at NYU’s Center for Data Science, Dan published foundational sports analytics work as part of the XY Research group during his Statistics PhD at Harvard. He has awards from the MIT SSAC in 2015 and 2019. Beyond sports, he’s a fan of traveling, coffee, Neapolitan pizza, and music ranging from classical to metal.
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Andrew Galdi
Vice President, Baseball & Basketball
Andy founded the Phillies R&D department, leading software development and data science for 6 seasons. His diverse career began in...
Andy founded the Phillies R&D department, leading software development and data science for 6 seasons. His diverse career began in operations at the NY Mets, after which he moved to the NBA Commissioner's Office as a league operations statistical analyst, and then to Google as a quantitative analyst for YouTube. A 2008 graduate of UNC-Chapel Hill, he earned his 2013 Statistics M.S. from Stanford.
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Karim Kassam
Vice President, Football & Hockey
Karim founded the research group at the Pittsburgh Steelers, leading data science for football operations. He’s also led data science efforts...
Karim founded the research group at the Pittsburgh Steelers, leading data science for football operations. He’s also led data science efforts at the Minnesota Twins, Jacksonville Jaguars, Legendary Entertainment, and education startup Duolingo. Prior to his work as a data scientist, Karim was a professor at Carnegie Mellon University. He earned his PhD from Harvard in 2010.
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Stephanie Kovalchik
Staff Data Scientist
Stephanie led data science innovation for the Game Insight Group of Tennis Australia, building first-of-a-kind metrics and real-time...
Stephanie led data science innovation for the Game Insight Group of Tennis Australia, building first-of-a-kind metrics and real-time applications with tracking data. An expert in tennis analytics and causal inference with 40+ published papers, she also developed novel statistical methods in her previous roles at the NCI and RAND Corporation. She blogs at on-the-t.com and is an amateur mixologist.
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Bryan Yu
Director, Engineering
Bryan was previously in charge of data architecture and building statistical models for the public equities quantitative...
Bryan was previously in charge of data architecture and building statistical models for the public equities quantitative strategy at Santé Ventures / Capital. He received his M.S. in Statistics from Texas A&M, and his interests are Bayesian models and college football. Bryan loves a juicy hamburger, playing fetch with his dog, and watching movies.
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Jacob Mortensen
Staff Data Scientist
Jacob recently graduated with his PhD in Statistics from Simon Fraser University, where he completed his thesis on statistical...
Jacob recently graduated with his PhD in Statistics from Simon Fraser University, where he completed his thesis on statistical methods for tracking data in sports. Prior to joining Zelus, he helped build an analytics platform for the Sacramento Kings from the ground up. When not working, he enjoys cooking, rollerblading, and spending time with his three kids.
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Kevin Meers
Director, Product & Strategy
Kevin led the football analytics group at the Cleveland Browns before pursuing his MBA at Harvard Business School, which he...
Kevin led the Cleveland Browns football research and strategy group, where he built an industry-leading analytics team focused on coaching, scouting, and sports science. Between the Browns and his prior work with the Dallas Cowboys, Kevin spent seven seasons in NFL front offices. He has also served in analytics for the City of Denver and Biden for President. He earned his BA and MBA at Harvard.
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Javier Fernandez
Staff Data Scientist
Javier led FC Barcelona's sports analytics department for five years, working closely with top-level coaches. His PhD and MSc theses are...
Javier led FC Barcelona's sports analytics department for five years, working closely with top-level coaches. His PhD and MSc theses are devoted to modeling spatiotemporal dynamics in soccer for providing interpretable insights. Javier is a usual contributor to the analytics community, including awards at the MIT SSAC and being a founding member of the Friends of Tracking initiative.
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Matthew Hurbi
Director, Finance & Accounting
Most recently leading and restructuring the B2B team as Director of Finance & Admin at GCI (part of Liberty Broadband), Matthew...
Most recently leading and restructuring the B2B team as Director of Finance & Admin at GCI (part of Liberty Broadband), Matthew began his career at KPMG as an Audit Associate working with middle market private and small cap publicly traded entities. A CPA with a BBA in Accounting, he is also an avid podcast enthusiast, a connoisseur of interactive digital entertainment, and aspiring to fitness.
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Nicolas Arsic
Director, Operations
Nick is a generalist with over a decade of leadership experience in SaaS strategy and operations. Before pivoting to SaaS, he spent...
Nick is a generalist with over a decade of leadership experience in SaaS strategy and operations. Before pivoting to SaaS, he spent a brief stint as a consultant at the IAEA in Vienna. His MA in Political Science is from UPF, Barcelona. A Canadian residing in Berlin, he enjoys spending his time with his family, lifting weights, the outdoors, losing at chess, reading books, and missing the snow.
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Daniel Lee
Staff Data Scientist
Daniel Lee co-created Stan, the open-source statistical modeling language. He has developed models for...
Daniel Lee co-created Stan, the open-source statistical modeling language. He has developed models for professional sports teams and for topics including vote share for US elections, clinical trials for cancer and rare diseases, retail price sensitivity and music streams, and data fusion for the US Navy. He holds a B.S. from MIT and an M.A.S. from Cambridge, and lives in NYC with his wife and son.
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Scott Powers
Staff Data Scientist
Scott earned a PhD in statistics at Stanford University in 2017. From there, he worked five seasons in baseball research...
Scott earned a PhD in statistics at Stanford University in 2017. From there, he worked five seasons in baseball research & development for the Los Angeles Dodgers and one season as an assistant general manager for the Houston Astros. Scott will join the faculty of Rice University in July 2023 as an assistant professor of sport analytics.
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Alexander Franks
Research Advisor
Alex is currently and Associate Professor of Statistics and Applied Probability at the university of Santa Barbara. He...
Alex is currently and Associate Professor of Statistics and Applied Probability at the university of Santa Barbara. He has consulted with a number of professional basketball teams and received an MIT SSAC research award in 2015 while a student at Harvard University. His research interests include causal inference, missing data and measurement error, Bayesian statistics and sports.
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Chris Pickard
Product Manager
After earning his B.S. and M.S. in Engineering from Stanford University, Chris joined the Sacramento Kings as a Senior Analyst; he built analysis...
After earning his B.S. and M.S. in Engineering from Stanford University, Chris joined the Sacramento Kings as a Senior Analyst; he built analysis and data systems to inform team strategy and roster decisions. At Stanford, Chris captained the Men's Swimming team, achieved Athletic & Academic All-American honors, and was an inaugural selection to Stanford Athletics' Home of Champions Hall of Fame.
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Kevin Ferris
Senior Data Scientist
Kevin’s extensive experience supporting data-driven decision making and predictive modeling in baseball was developed in...
Kevin’s extensive experience supporting data-driven decision making and predictive modeling in baseball was developed in the analytics shops for the Boston Red Sox, Los Angeles Angels, Tampa Bay Rays, and Philadelphia Phillies. Originally from Montana, Kevin enjoys outdoor activities - particularly rock climbing - and just completed his first marathon.
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Marco Viero
Senior Data Scientist
As an astrophysicist at Caltech and Stanford, Marco popularized the use of statistical approaches to study intensity fluctuations from...
As an astrophysicist at Caltech and Stanford, Marco popularized the use of statistical approaches to study intensity fluctuations from galaxies in the early universe. Line-intensity mapping has since motivated many dedicated projects, including the SPHEREx space telescope, for which Marco subsequently worked. He has also been a data scientist at Wahoo Fitness, and frame designer at Parlee Cycles.
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Nicholas Kapur
Senior Data Scientist
Nick worked as a senior member of the Dodgers Analytics department for 4 seasons, winning the World Series in 2020. Prior to that, he...
Nick worked as a senior member of the Dodgers Analytics department for 4 seasons, winning the World Series in 2020. Prior to that, he spent 1 season with the New York Yankees and several years working with NC State University athletics while attending as an undergraduate and graduate student. He has presented his work on Reinforcement Learning in the Madden video game at several conferences.
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Natan Weinberger
Engineering Lead
Natan was the first software engineer in the Phillies R&D department. He spent five years there, leading development of...
Natan was the first software engineer in the Phillies R&D department. He spent five years there, leading development of the data platform and backend. Outside of work, Natan likes going to concerts, building with microcontrollers and hardware, and hitting bombs in beer league softball.
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Jacob Coleman
Senior Data Scientist
After earning a PhD in Statistics from Duke in 2019, Jake worked for the Dodgers for your years as a Senior...
After earning a PhD in Statistics from Duke in 2019, Jake worked for the Dodgers for four years as a Senior Quantitative Analyst. His research interests lie in spatial modeling as well as forecasting through Dynamic Linear Models. Jake spends the majority of his free time training for Ultimate Frisbee, and also enjoys playing video games and Magic: The Gathering.
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Philip Baker
Engineering Lead
After graduating from Carnegie Mellon, Phil spent four years with the Cleveland Guardians where he built application software...
After graduating from Carnegie Mellon, Phil spent four years with the Cleveland Guardians where he built application software and platform tooling before becoming the Assistant Director of Baseball Systems. Alongside Cory Jez, Phil built TourIQ to support PGA Tour golfers prior to joining Zelus. Phil loves to travel with friends, spend time with family, and play golf and basketball.
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Andrew Hopen
Senior Data Scientist
Andrew previously worked in the analytics departments of the New York Yankees and LA Dodgers. He completed his M.S. in Data Science at...
Andrew previously worked in the analytics departments of the New York Yankees and LA Dodgers. He completed his M.S. in Data Science at NYU in 2020. His other research interests lie in education, and before Zelus he studied university initiatives and student outcomes for NYU Institutional Research. Andrew loves dogs, theatre, and anything written by N.K. Jemisin.
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Matthew Reyers
Senior Machine Learning Engineer
While at Simon Fraser U., Matthew and his team won the NFL Big Data Bowl in 2019 and gained honourable mention in 2020...
While at Simon Fraser U., Matthew and his team won the NFL Big Data Bowl in 2019 and gained honourable mention in 2020. The winner of the Canadian Operational Research Society’s Student Paper Contest and a graduate Natural Sciences and Engineering Research Council of Canada Scholarship holder, he enjoys spending his free time running hackathons and running kilometres.
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Matthew van Bommel
Senior Machine Learning Engineer
Matt spent three seasons working with the Sacramento Kings and has published research examining biases and inconsistencies of...
Matt spent three seasons working with the Sacramento Kings and has published research examining biases and inconsistencies of basketball scorekeepers. He holds an MSc in Statistics from Simon Fraser University and a BSc in Mathematics and Statistics from Acadia University. Matt enjoys hypothetical questions and dabbling in many hobbies, currently including cycling, juggling, and board games.
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Bryce Rogan
Senior Data Scientist
Bryce worked for three years in the Los Angeles Angels analytics department after earning a BA in mathematics from Pomona College...
Bryce worked for three years in the Los Angeles Angels analytics department after earning a BA in mathematics from Pomona College. At Pomona, he also published research utilizing a variety of neural networks, and played left field for the baseball team. Outside work, Bryce can be found riding his bike, watching a bike race, baking bread, or soothing his anxious Chihuahua, Rhubarb.
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Casey Thayer
Engineering Lead
From building data solutions for cancer immunotherapy research, to using AI/ML skills to combat school violence, to evaluating vaccine efficacy...
From building data solutions for cancer immunotherapy research, to using AI/ML skills to combat school violence, to evaluating vaccine efficacy in global clinical trials, Casey has explored the power of data since graduating as a dual sport athlete from the U of Puget Sound with a BS in Molecular & Cellular Biology. Her other life passions include reading, Arsenal FC, Denver Nuggets, and skiing.
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Adrià Arbués-Sangüesa
Senior Data Scientist
Adrià is an audiovisual engineer who newly obtained his PhD, which covered tracking-related topics such as player orientation...
Adrià is an audiovisual engineer who newly obtained his PhD, which covered tracking-related topics such as player orientation estimation and its effect on passes. Although his research is mainly soccer-driven, Adrià is a basketball geek, with coaching experience in youth F.C. Barcelona teams and teaching analytics in national coaching courses. In his limited free time, he organizes research fairs.
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Evan Miyakawa
Senior Data Scientist
Evan obtained his Ph.D. in statistics from Baylor University, where he specialized in Bayesian methods, computational..
Evan obtained his Ph.D. in statistics from Baylor University, where he specialized in Bayesian methods, computational statistics, and predictive uncertainty. He runs the college basketball advanced analytics website EvanMiya.com in his spare time. He also enjoys making pour-over coffee, playing guitar, and adventures with his wife and puppy.
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Ethan Douglas
Technical Product Manager
Coming to Zelus directly from The Athletic where he built and published a predictive NFL team rating system, Ethan’s broad experience in...
Coming to Zelus directly from The Athletic where he built and published a predictive NFL team rating system, Ethan’s broad experience in data science also spans published biomechanics research, as well as data-driven automotive safety policy efforts. He received his MSE in Bioengineering from the University of Pennsylvania, and resides in L.A., where he enjoys hiking and playing beach volleyball.
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Guido Petri
Engineering Lead
Guido was born in São Paulo, has a BSc in chemical engineering from TU Berlin, and an MS in data science from NYU. Previously, he...
Guido was born in São Paulo, has a BSc in chemical engineering from TU Berlin, and an MS in data science from NYU. Previously, he worked for the Cleveland Guardians as a data scientist and in tech as a data engineer. Guido enjoys powerlifting, chess, and videogames, plus a revolving door of other various hobbies. True to his multi-locational background, he's a Cubs/Blue Jays/Flames/Vikings fan.
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Esteban Navarro Garaiz
Technical Product Manager
A Data Scientist shifting his focus to product, Esteban spent the two years prior to Zelus as a Quantitative Analyst at the Dodgers...
A Data Scientist shifting his focus to product, Esteban spent the two years prior to Zelus as a Quantitative Analyst at the Dodgers, where he won a World Series in 2020. Born and raised in Mexico City, he holds a Data Science MS from New York University (where he was a DeepMind fellow and Fulbright scholar) and a BS in Mathematics from Universidad Nacional Autónoma de México (UNAM).
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Hannah Gaudet
Engineering Lead
After graduating with a BS in math from MIT, Hannah spent 2.5 years with the Philadelphia Phillies, where they led the team's ML...
After graduating with a BS in math from MIT, Hannah spent 2.5 years with the Philadelphia Phillies, where they led the team's ML engineering work. Too indecisive to stick to just one sport, they diversified their repertoire during their time with the Boston Bruins and Second Spectrum. When not at work, Hannah is cooking, muttering about education policy, or trying to lift heavy(ish) objects.
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Ivana Šerić
Senior Product Scientist
Ivana spent four seasons with the Philadelphia 76ers, providing coaches with data-driven insight...
Ivana spent four seasons with the Philadelphia 76ers, providing coaches with data-driven insight, and one season with Overtime Elite, establishing data and sports tech processes. She represented her native Croatia in youth basketball competitions and later was a four-year starter at NJIT, where she earned her BS and PhD in Applied Math. In her spare time, Ivana enjoys bicycling and long hikes.
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Meghan Hall
Technical Product Manager
Meghan has extensive experience in data analysis, visualization, and reporting, stemming from nearly a decade...
Meghan has extensive experience in data analysis, visualization, and reporting, stemming from nearly a decade working in higher education data management. She also has a passion for data science education and welcoming others into the field of sports analytics. Outside of work, she enjoys baking, reading, yoga, and watching sports—namely hockey, baseball, cycling, and F1.
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Amol Desai
Product Manager
Amol is an experienced Data Science leader in the Tech industry. He has been a freelance consultant at Cricviz, conducts...
Amol is an experienced Data Science leader in the Tech industry. He has been a freelance consultant at Cricviz, conducts independent research in Cricket analytics, and collaborates with other technical and non-technical content creators and thinkers. Amol is passionate about leveraging his experience and expertise to serve Cricket. Amol has a Master's degree in Engineering from Georgia Tech.
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Tyrel Stokes
Senior Data Scientist
Tyrel is a PhD student in Statistics at McGill University, where he is interested in causal inference, Bayesian methods, and applications...
Tyrel is a PhD student in Statistics at McGill University, where he is interested in causal inference, Bayesian methods, and applications in medicine, the social sciences, and sport. Before statistics, Tyrel was an Experimental/Behavioural Economist. These days he enjoys bouldering, cycling, singing, taking really long walks, and dreaming about playing team sports again one day.
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Lydia Jackson
Machine Learning Engineer
A professional soccer player for four different countries, Lydia competed most recently for the NWSL’s Chicago Red Stars...
A professional soccer player for four different countries, Lydia competed most recently for the NWSL's Chicago Red Stars, in addition to being an experienced coach. Her BSc in Computer Science from Clemson University and advocacy for the women's game both contribute to her writings for American Soccer Analysis. Outside of work, Lydia loves to hike and mountain bike in the Blue Ridge mountains.
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Shannon Towey
Software Engineer
Shannon has worked at NASA's Jet Propulsion Laboratory, most recently on mission operations for the Mars 2020 Perseverance...
Shannon has worked at NASA's Jet Propulsion Laboratory, most recently on mission operations for the Mars 2020 Perseverance Rover, for the past 4 years. Previously, she spent a year at CERN as a detector technologist. She is a Jersey native, space enthusiast, and long-suffering Mets fan. She holds a BA in Physics from the University of Chicago and lives in Pasadena, California.
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Andrew McLean
Data Engineer
Andrew’s love of start-ups and cloud-based data processing systems brought him to Austin; at Nano Vision he helped build a real-time...
Andrew’s love of start-ups and cloud-based data processing systems brought him to Austin; at Nano Vision he helped build a real-time anomaly detection system for environmental sensor data. A double trojan, Andrew earned his BS in Electrical Engineering and MS in Computer Engineering from the Univ. of Southern California. If not at work, he’s cheering on the Yankees, reading, or attempting to golf.
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Steven Orgill
Data Scientist
After completing his BS and MS in Statistics from BYU, Steven spent a season in the R&D group at the Minnesota Twins. Prior to focusing on...
After completing his BS and MS in Statistics from BYU, Steven spent a season in the R&D group at the Minnesota Twins. Prior to focusing on sports, Steven worked in the airline and oil industries, and participated in natural language processing research focused on mental health. In his free time, Steven enjoys playing with his dog, traveling with his wife, and watching St. Louis sports.
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Nicholas Beck
Data Scientist
Nick recently completed a PhD in Statistics at McGill University where his thesis focused on the evaluation of extreme multivariate risks...
Nick recently completed a PhD in Statistics at McGill University where his thesis focused on the evaluation of extreme multivariate risks. While at McGill, he helped develop a hierarchical Bayesian spatial model for quantifying the risk of flooding in Atlantic Canada. To unwind, he loves listening to vinyl while perfecting his favourite recipes, and he enjoys the outdoors, bouldering, and pottery.
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Brendan Kumagai
Data Scientist
As an MSc in Statistics graduate from Simon Fraser Univ, Brendan was part of the 1st place teams in the 2022 NFL Big...
As an MSc in Statistics graduate from Simon Fraser Univ, Brendan was part of the 1st place teams in the 2022 NFL Big Data Bowl and 2021 Stathletes’ Big Data Cup. Prior to joining Zelus, he interned with the McMaster Visual Neuroscience Lab, the Canadian Tire Sports Analytics team and Stathletes. Outside of work, Brendan enjoys hiking, travelling, strategic games, and anything related to hockey.
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James Cryne
Data Scientist
After gaining his MSci in Mathematics from Imperial College London, James began full-time work at Barnsley FC building...
After gaining his MSci in Mathematics from Imperial College London, James began full-time work at Barnsley FC building their recruitment department and internal analytics systems. In his spare time he enjoys playing and watching soccer, cricket, and golf. James also holds a Masters in Computer Science from the University of Birmingham.
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Tan Ho
Machine Learning Engineer
As a maintainer of the nflverse & ffverse CRAN packages, Tan is a prolific R developer and a hyperactive...
As a maintainer of the nflverse & ffverse CRAN packages, Tan is a prolific R developer and a hyperactive member of the open source sports data community. He mentors on R4DS Slack, streams live-coding on Twitch, and builds fantasy football web apps - most notably a trade calculator that serves 200K monthly users! Away from his keyboard, Tan enjoys skiing, powerlifting, rowing, and carving pumpkins.
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Calvin Floyd
Data Engineer
Cal spent four seasons at the Sacramento Kings, supporting the coaching staff with analytics and helping to optimize decision making in the front office...
Cal spent four seasons at the Sacramento Kings, supporting the coaching staff with analytics and helping to optimize decision making in the front office. Prior to that, he earned his BA in Mathematics from SUNY Geneseo and his MS in Applied and Computational Mathematics from RIT. In his free time, Cal's main hobbies include puzzles, video games, basketball, spikeball, and fantasy football.
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Sean O’Connor
Machine Learning Engineer
After graduating with a BSc in Computer Science, Sean joined Deutsche Bank as a technology analyst, before moving onto...
After graduating with a BSc in Computer Science, Sean joined Deutsche Bank as a technology analyst, before moving onto a hospitality start up where he built the sales forecasting pipeline from the ground up as the sole machine learning engineer. Hailing from London, in his spare time he loves playing football (soccer), dog sitting, travelling the world, and collecting Marvel Funko Pops!
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Sergio Llana Pérez
Data Scientist
Sergio worked for three years as a data scientist with FC Barcelona's sports analytics department and led their team for one more...
Sergio worked for three years as a data scientist with FC Barcelona's sports analytics department and led their team for one more year before joining Zelus. He is a software engineer with an MS in data science from UPC (Barcelona) and extensive experience working with tracking data in soccer. In his free time, he loves live music, watching soccer games, and trying new restaurants in Barcelona.
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Kai Lon Fok
Biomechanist
Kai is completing his PhD in Biomedical Engineering from the University of Toronto, where he is studying the biomechanics and neurological...
Kai is completing his PhD in Biomedical Engineering from the University of Toronto, where he is studying the biomechanics and neurological control of human movement after neurological disorders (i.e., spinal cord injury) using kinematic, kinetic and neurophysiological data. He is an avid basketball fan and enjoys playing it in his free time, along with trying new foods and reading manga.
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Cecil Ash
Machine Learning Engineer
Cecil was the analytics engineer of an award-winning business intelligence product from its inception to market entry and expansion. Prior to that, he...
Cecil was the analytics engineer of an award-winning business intelligence product from its inception to market entry and expansion. Prior to that, he earned his BASc and MASc in Industrial Engineering from Dalhousie University with research publications in supply chain optimization during pandemics. In his free time, Cecil enjoys sword fighting (fencing), trail running, and baking sourdough.
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Calum Peter
Data Engineer
Calum is a software engineer with experience building data pipelines in FinTech and high volume transaction applications...
Calum is a software engineer with experience building data pipelines in FinTech and high volume transaction applications within the iGaming industry. In his spare time, Calum enjoys watching his beloved Kilmarnock, playing golf and participating in local amateur musical theatre productions.
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Monica Singh
Data Engineer
Monica earned her MS in Computational Data Analytics from Georgia Tech where she worked on projects ranging from modeling gene...
Monica earned her MS in Computational Data Analytics from Georgia Tech where she worked on projects ranging from modeling gene expression data and simulating stock market trends. Prior to sports analytics, she has worked as an engineer in the healthcare and finance tech fields. Outside of work, you can find her hiking, playing tennis, traveling, or exploring local coffee shops and restaurants.
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Lucas Wu
Data Scientist
Lucas recently graduated with his PhD in Statistics from Simon Fraser University, where his thesis was on soccer analytics ...
Lucas recently graduated with his PhD in Statistics from Simon Fraser University, where his thesis was on soccer analytics using tracking data. His team participated in the first three Big Data Bowl competitions, winning the college division in 2019, honorable mention in 2020, and finalists of the open division in 2021. In his free time, he enjoys being a foodie traveller.
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Surya Kocherlakota
Product Scientist
Since completing his Masters at Imperial College London, Surya has worked on a range of Data Science R&D projects, including a COVID-19...
Since completing his Masters at Imperial College London, Surya has worked on a range of Data Science R&D projects, including a COVID-19 forecasting suite for the UK’s NHS. A keen sports technology enthusiast, Surya has worked on cricket bat sensors to aid player shot timing, and presented his soccer analytics work on the Friends of Tracking series. He is also an AI tutor at Oxford University.
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Yagmur Yuksel
Data Scientist
Yagmur earned her BS in Economics and Physics from Yale. Before shifting to sports analytics, she was a Research Fellow...
Yagmur earned her BS in Economics and Physics from Yale. Before shifting to sports analytics, she was a Research Fellow at the Tobin Center for Economic Policy where she focused on women’s educational attainment, Title IX, and earnings disparities. She is a faithful fan of the Houston Rockets and Arsenal FC. Outside of work, Yagmur loves hiking, reading, knitting, and cuddling with her cat Sesame.
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Jason Vicente
Machine Learning Engineer
After completing a BS in Data Mining, Jason joined Ernst & Young as a consultant focusing on performance improvement...
After completing a BS in Data Mining, Jason joined Ernst & Young as a consultant focusing on performance improvement, and then subsequently moved on to Standard Bank where he was a lead Machine Learning Engineer and helped build the Cloud ML team. Jason is also an avid Liverpool supporter, and in his spare time he plays club soccer, collects whiskey, and attempts to fish.
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Paweł Kapuściński
Data Engineer
After years of working in various data roles in tech companies ranging from early stage startup to big enterprise, Pawel decided to...
After years of working in various data roles in tech companies ranging from early stage startup to big enterprise, Pawel decided to support Polish football teams by building data platforms and improving data literacy across scouting and coaching staffs. Originally from Lubięcin, Pawel enjoys playing (and watching) a way too long list of sports and video games, korean fried chicken and good banter.
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Annabelle Redelmeier
Data Scientist
Annabelle obtained a MSc in statistics from McGill University, where she wrote her masters thesis on modelling extreme sports injuries...
Annabelle obtained a MSc in statistics from McGill University, where she wrote her masters thesis on modelling extreme sports injuries. Prior to Zelus, Annabelle worked at one of Europe’s largest centres for applied statistics, developing XAI and prediction models. In her spare time, Annabelle loves to run, climb Norwegian mountains, make elaborate meals, and listen to obscure film podcasts.
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Leonard Yang
Product Scientist
Originally from Tokyo, Leonard earned his BA in Statistics from UC Berkeley prior to joining the Texas Rangers Baseball Operations department...
Originally from Tokyo, Leonard earned his BA in Statistics from UC Berkeley prior to joining the Texas Rangers Baseball Operations department for two seasons. He also spent some time with both the Yokohama DeNA BayStars of the NPB, and the MLB League Office. Outside of work and sports, Leonard enjoys coffee-shop-hopping while listening to a wide variety of music ranging from hip hop to country.
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Pablo López Landeros
Data Scientist
Having competed in basketball and studied Applied Mathematics in college, Pablo’s research in basketball analytics for his BsC thesis showed him...
Having competed in basketball and studied Applied Mathematics in college, Pablo’s research in basketball analytics for his BsC thesis showed him he could combine his two passions. Upon graduating, he was a data scientist at Coca Cola and in finance before joining Zelus. In his spare time, he enjoys hanging out with friends, lifting weights, and releasing his toxic competitiveness in video games.
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Pascal Bauer
Data Scientist
With an MSc in math, Pascal earned his PhD from Tübingen University; his Doctoral thesis investigated the automated detection of...
With an MSc in math, Pascal earned his PhD from Tübingen University; his Doctoral thesis investigated the automated detection of tactical patterns in soccer. He has spent 10 years as a German soccer coach, with a UEFA A-level license. A Data Scientist for the German National soccer team while also fulfilling a part-time role at Zelus, Pascal enjoys playing soccer, tennis, or golf when not working.
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Megan Muniz
Data Scientist
Megan holds a PhD in Operations Research with Engineering from the Colorado School of Mines. Her research covered sports analytics and...
Megan holds a PhD in Operations Research with Engineering from the Colorado School of Mines. Her research covered sports analytics and optimization for team formation problems. An active duty OR Analyst for the US Air Force, she is stationed in Cambridge, MA, and will eventually return to the faculty of USAF Academy's math department, where she hopes to use her diverse expertise to inspire cadets.
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Ethan Baron
Associate Data Scientist
Ethan leads the University of Toronto Sports Analytics student group while completing his undergraduate engineering...
Ethan leads the University of Toronto Sports Analytics student group while completing his undergraduate engineering degree at the University of Toronto, and has presented his sports analytics research at NESSIS and CORS. In his free time, Ethan enjoys watching basketball and cycling, spending time outdoors, and listening to new music.
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Mathilde Papillon
Data Scientist
Mathilde is working towards obtaining her PhD in Physics at UC Santa Barbara. She develops award-winning artificial intelligence models to...
Mathilde is working towards obtaining her PhD in Physics at UC Santa Barbara. She develops award-winning artificial intelligence models to extract insight from the biomechanics of baseball, dance, and medical data. Prior to this, she obtained a BSc in Honors Physics from McGill University. Mathilde enjoys backpacking, salsa dancing, and playing volleyball on Santa Barbara's golden beaches.
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Interested in how our platform could improve outcomes for your team? Do you have a business or partnership opportunity you’d like to discuss? Send us an email, or send a message with this form. If you’re interested in working here, or just learning more about a career at Zelus, please check out the links under “Careers”!