Alex Vig
S. Machine Learning Scientist at DeepCure
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAlex Vig is a senior machine learning scientist based in Boston with a decade of experience building and deploying deep learning solutions, primarily in Python. At DeepCure he applies ML to drug discovery problems, drawing on prior research that explored reinforcement-learned optimizers, DQN implementations, and RNN-based meta-optimizers. His background at the Institute for Defense Analyses includes designing LSTM models for human decision-making, validating large-scale physical and financial simulations, and optimizing legacy C++ modeling tools. Comfortable moving between research and engineering, he has shipped Android apps, sensor-tracking tools, and algorithmic solutions for transportation and contamination recovery. Trained as a mathematician (UNC Chapel Hill), he pairs strong theoretical grounding with practical systems work and a knack for recasting optimization problems as learning tasks. Colleagues describe him as a puzzle-solver who prefers building experimental prototypes that reveal new paths to production-ready ML.
10 years of coding experience
6 years of employment as a software developer
Cary AcademyBachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at UNC Chapel Hill
English, Spanish
Github Skills (122)
programming-language10
python10
ffi10
pandas10
pinterest10
data-science10
binding10
mdbook10
data-analysis10
manipulation10
frame10
dataframes9
rust9
interpreter9
data-manipulation9
Programming languages (11)
Github contributions (5)
jalexvig/useful
Sep 2015 - Dec 2022
Contributions:63 pushes, 5 branches, 2 issues in 7 years 3 months
jalexvig/tensorflow
Feb 2016 - Jul 2018
Contributions:8 pushes in 2 years 6 months
computationlibrary-softwarepythongraphsnumerical-computation
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