Christopher Pierse is a Principal Data Scientist with a PhD in biophysics and nine years of industry experience applying rigorous analytical thinking to messy, real-world problems. He moved from deriving analytic expressions for single-molecule experiments to designing player-centric algorithms at Electronic Arts, where he has progressed from Data Scientist to Principal since 2018. Christopher has a proven track record in pricing and experimentation—his models at Scientific Revenue lifted new player revenue by double-digit percentages—and he blends simulation, probabilistic modeling, and A/B testing to extract actionable insights. Based in the San Francisco Bay Area, he combines deep physics training and hands-on ML engineering to improve player experience across live games. Avid gamer and scientist, he invites conversations that start with your favorite game.
9 years of coding experience
12 years of employment as a software developer
University of California, San Diego
Data Science, Data Science at The Data Incubator
Bachelor’s Degree Physics Major Mathematics Major and Biology Minor, Bachelor’s Degree Physics Major Mathematics Major and Biology Minor at Saint Louis University
Contributions:14 commits, 13 pushes, 1 branch in 11 days
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