Assistant Attending at Memorial Sloan Kettering Cancer Center
Austin, Texas, United States
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Summary
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Wesley 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 Austin
MS, Computer Science, MS, Computer Science at Virginia Tech
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Wesley Tansey - Assistant Attending at Memorial Sloan Kettering Cancer Center