Wesley Tansey
Assistant Attending at Memorial Sloan Kettering Cancer Center
Austin, Texas, United States
Summary
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Senior🎓
Top SchoolWesley Tansey is an Assistant Attending at Memorial Sloan Kettering with 15 years of experience applying machine learning and statistics to health and medicine. He combines a PhD in Computer Science from UT Austin with postdoctoral work at Columbia to drive projects in cancer genomics, dose-response prediction, and precision medicine. His background spans academia and industry—ranging from fMRI analysis at Stanford and nutrition-focused modeling at MyFitnessPal to ML research internships at Google—so he brings both theoretical depth and practical product sense. Wesley has a track record of developing scalable inference methods, Bayesian nonparametrics, and recommender systems, and he often translates complex probabilistic ideas into clinically relevant tools. Based in Austin, he is passionate about leveraging data science to measurably improve patient outcomes and uncover non-obvious patterns in health data.
15 years of coding experience
9 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at The University of Texas at AustinMS, Computer Science, MS, Computer Science at Virginia Tech
Stackoverflow
4,555reputation
588kreached
7answers
63questions
Github Skills (50)
python10
machine-learning10
thegraph10
deep-learning10
tensorflow10
feature-selection9
algorithm9
ml9
markov9
deep-neural-networks9
neural-network9
smoothing9
bayesian9
matrix-factorization9
frontend9
Programming languages (8)
Github contributions (5)
tansey/grid-games
Mar 2012 - Apr 2012
Contributions:52 commits in 19 days
tansey/rl-tictactoe
Jan 2013 - Jun 2018
A reinforcement learning agent for tic-tac-toe. Implements the example from Chapter 1 of Sutton and Barto.
Contributions:9 commits, 1 PR, 1 push in 5 years 5 months
reinforcement-learning
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