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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
Founder & President
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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Dan Cervone
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
Director, Product & Strategy
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
Director, Product & Strategy
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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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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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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Kimberley Kissoyan
Manager, Operations
Kimberley cut her operations/management teeth building the Collections department of a midsize law firm in DC into its own...
Kimberley cut her operations/management teeth building the Collections department of a midsize law firm in DC into its own company, while simultaneously founding a theater company and running several incubator projects for early-career artists. A polyglot with an A.B. in Comparative Lit from Princeton University, she is relishing this opportunity to grow her talents in a fascinating new field.
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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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Albert Lyu
Engineering Lead
Albert previously spent four seasons with the Chicago Cubs building data pipelines and interactive visualization tools for baseball...
Albert previously spent four seasons with the Chicago Cubs building data pipelines and interactive visualization tools for baseball operations, most recently as a Senior Baseball Systems Developer. After 2018, he worked as a software engineer for Sprout Social before joining Zelus. Born in L.A., the Northwestern and Georgia Tech graduate was proudly raised in Hong Kong as a third culture kid.
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Bryan Yu
Engineering Lead
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
Senior 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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Javier Fernandez
Senior 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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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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Meyappan Subbaiah
Product Scientist
After earning an M.S. in Analytics at UT, Meyappan worked on operations optimization at The Appraisal Lane. Prior to UT, a DoE...
After earning an M.S. in Analytics at UT, Meyappan worked on operations optimization at The Appraisal Lane. Prior to UT, a DoE lab funded his graduate research into nuclear proliferation risk and safeguards at Texas A&M. Passionate about collegiate sports, he’s developing an R package called cfbscrapR, providing an easy way for college football fans to get data with embedded EPA/WPA models in it.
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Andrew Hopen
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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Ozan Adiguzel
Data Scientist
Ozan holds a BSc in Statistics from Brown and previously worked with the Sacramento Kings and ShotTracker. An avid basketball and soccer...
Ozan holds a BSc in Statistics from Brown and previously worked with the Sacramento Kings and ShotTracker. An avid basketball and soccer fan, Ozan is a die-hard supporter of the Turkish sports club Galatasaray as well as an experienced soccer coach with a USSF C license. Ozan speaks Turkish, French, and some Mandarin and enjoys traveling the world, but for the best BBQ, he settled in Texas.
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Matthew Reyers
Data Scientist
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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Lucas Wu
Data Scientist
Lucas is a PhD student in Statistics at Simon Fraser University. He is interested in machine learning and computational statistics...
Lucas is a PhD student in Statistics at Simon Fraser University. He is interested in machine learning and computational statistics applied to sports. His team was the winner of the NFL’s inaugural Big Data Bowl - College Division in 2019 and the Sacramento Kings Case Competition in 2018. In his free time, he enjoys being a foodie traveller.
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Steven Silverman
Analytics Engineer
Steven interned with the Pittsburgh Pirates and helped to found the CMU Sports Analytics Club while earning bachelor's degrees in...
Steven interned with the Pittsburgh Pirates and helped to found the CMU Sports Analytics Club while earning bachelor's degrees in mathematics and computer science from Carnegie Mellon University. After graduation, he worked as a software engineer for APT/Mastercard for 2.5 years. Steven enjoys trivia, playing the trombone, and getting angry about Philly 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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Arielle Dror
Data Scientist
Arielle is a recent graduate of Smith College with degrees in Statistical & Data Sciences and Government, and experience in data-driven...
Arielle is a recent graduate of Smith College with degrees in Statistical & Data Sciences and Government, and experience in data-driven public policy research. Passionate about analytics in women's sports, Arielle co-created nwslR, an R package that makes National Women's Soccer League data accessible to fans. She also loves rock climbing, and discovering new ramen shops and used bookstores.
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Lydia Jackson
Analytics 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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Matthew van Bommel
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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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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Bryce Rogan
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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Tyrel Stokes
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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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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Casey Thayer
Machine Learning Engineer
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
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
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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Clarissa Miranda
Software Engineer Intern
Having previously interned at Google, Clarissa is currently an MS student in Computer Science at Tec de Monterrey. Her passion for soccer and...
Having previously interned at Google, Clarissa is currently an MS student in Computer Science at Tec de Monterrey. Her passion for soccer and machine learning drove her to develop a thesis on predicting soccer results prior to a match by combining statistics and sentiment analysis on social networks. She enjoys finding new mazipan desserts, watching soccer, and cheering for Chivas de Guadalajara.
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Ethan Douglas
Data Scientist
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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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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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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Ishan Mehta
Data Scientist
After earning an MSc in Electrical and Computer Engineering from UCSD in 2021, Ishan interned with the San Diego Padres Research...
After earning an MSc in Electrical and Computer Engineering from UCSD in 2021, Ishan interned with the San Diego Padres Research and Development department. Prior to that, he worked on a Computer Vision Senior Capstone project sponsored by Tesla. Ishan is also an avid basketball (and Chris Paul) fan and conducted a research project at UCSD using NBA tracking data.
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Guido Petri
Machine Learning Engineer
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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Hannah Gaudet
Machine Learning Engineer
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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Esteban Navarro Garaiz
Product Scientist
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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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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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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Surya Kocherlakota
Data 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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Ethan Baron
Data Scientist Intern
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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CONTACT
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