Greg Starek

Director of Football Analytics · Indianapolis Colts · Indianapolis, IN · greg@gregstarek.com

Experience

Director of Football Analytics

Indianapolis Colts
2023 - Present

Senior Performance Analyst

San Francisco 49ers

Data-driven athletic health and performance modeling. Machine learning. Bayesian modeling. Risk analysis. Data engineering.

2022 - 2023

Senior Data Scientist

San Francisco Giants

Lead development of novel, cloud-based solutions for state-of-the-art, complex skeletal tracking data. Algorithm development and optimization. Project and people management. Democratizing data accessibility across multiple levels of the organization. Advanced scouting and game planning. Player evaluation. Strategy.

2022

Data Scientist

San Francisco Giants

Computer vision. Biomechanics. Machine learning (classification and regression). Cutting costs through automation. Physics-based approaches to baseball problems.

2019 - 2021

Head of Data Science

Ezoic

Led artificial intelligence development and implementation. Auction optimization. Machine learning at web scale. Real-time predictions. Recommender systems. Data pipeline optimization. Algorithm development.

2017 - 2019

Senior Data Engineer

Ezoic

Built adrevenueindex.ezoic.com, the world's first online ad rate index, using data from billions of ads. Auction theory. ETL. Statistical analysis.

2016

Postdoctoral Cardiovascular Research Fellow

University of Wisconsin-Madison

Discovered and analyzed molecules with novel therapeutic mechanisms of action and potential to restore normal cardiac action potentials. Collaborated with FDA on CIPA committee protocols. Characterized consequences of genetic mutation in hERG channel.

2014 - 2016

Education

Ph.D. (Cum Laude)

University of Basel, Switzerland
Biophysics
2010 - 2014

Masters of Science

University of Basel, Switzerland
Molecular Biology
2009 - 2010

Bachelor of Science

UCLA
Biology
2003 - 2007

Publications

Gating energetics of a voltage-dependent K+ channel pore domain

Starek, G., Freites, J.A., Bernéche, S., Tobias, D.J.

2017

Enhancement of hERG channel activity by scFv antibody fragments targeted to the PAS domain

Harley, C.A., Starek, G., Jones, D.K., Fernandes, A.S., Robertson, G.A. Morais-Cabral, J.H.

2016

A Limited 4 Å Radial Displacement of the S4-S5 Linker Is Sufficient for Internal Gate Closing in Kv Channels

Faure, E., Starek, G., Mcguire, H., Bernéche, S., Blunck, R.

2012

Skills

Programming
python · bash · R

Modeling and Machine Learning
scikit-learn · tensorflow · pymc · xgboost

Data
GCP · AWS · BigQuery · Redshift · pandas · PySpark · Airflow · flask


Coaching

Basel Meanmachine

Head Coach and Offensive Coordinator
Basel, Switzerland
2010-2011

Saint Monica High School

Varsity Offensive Coordinator & QB Coach
Santa Monica, CA
2008-2009

Saint Monica High School

Junior Varsity QBs, WRs & DL Coach
Santa Monica, CA
2005, 2007

Interests

Outside of my work as a data scientist, you can find me on hiking trails around the Bay Area, exploring Northern California's redwood forests, playing my guitar, volunteering as a youth flag football coach, or taking my Jeep off-roading in the desert (doors off, of course).


Awards & Honors

  • San Francisco Giants Front Office All-Star (Q2 2022)
  • Sloan Sports Conference Analytics Team of the Year (2022)
  • Keynote speaker: Mediatel's Artificial Intelligence for Digital Publishers (London, UK, 2017)
  • National Institute of Health Ruth L. Kirschstein National Research Service Award (2014-2016)
  • Selected speaker: Biophysical Society Meeting (2016)
  • Swiss Football Leauge Divison 2 National Champions (2010)