Alexander Rubinsteyn
Co-Founder Scientific Advisor at University of North Carolina at Chapel Hill
Raleigh-Durham-Chapel Hill Area United States
Summary
🤩
Rockstar🎓
Top SchoolAlexander Rubinsteyn is a research scientist and entrepreneur with 15 years of experience at the intersection of machine learning, cancer genomics, and computational immunology. As co-founder and scientific advisor at Pathfinder Oncology and co-PI/assistant professor who co-started the Personalized Immunotherapy Research Lab at UNC, he focuses on translating ML-driven genomics into cancer vaccines and clinical trials. He holds a PhD and MS in Computer Science from NYU and a BA in Neuroscience, combining strong computational foundations with biological insight. An active contributor to open-source tools for matrix completion (notably work on fancyimpute), he brings practical algorithmic experience alongside translational research. Known for bridging deep technical work with clinical impact, he prefers hands-on development that moves ideas toward trials and real-world therapies.
15 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York UniversityUniversity of Illinois Urbana-Champaign
Stackoverflow
420reputation
20kreached
5answers
5questions
Github Skills (14)
cvxpy10
convex-optimization10
python10
numpy10
data-science9
testing9
machine-learning9
algorithms8
missing-data6
pandas6
simulation6
parakeet6
optimization6
cython6
Programming languages (14)
Github contributions (5)
iskandr/fancyimpute
Nov 2015 - Oct 2019
Multivariate imputation and matrix completion algorithms implemented in Python
Role in this project:
Data Scientist
Data ScientistContributions:4 releases, 129 commits, 9 PRs in 3 years 11 months
Contributions summary:Alexander implemented matrix completion algorithms using Python, specifically focusing on nuclear norm minimization techniques. Their contributions included an initial implementation of matrix completion using cvxpy, followed by the addition of unit tests to validate the algorithm. They also refactored the code and renamed components like `ConvexSolver` for better organization. Further development included adding data generation and running performance tests for the algorithms on low-rank matrices.
imputationpythonmatrixmultivariatecompletion
iskandr/parakeet-retired
Sep 2010 - Sep 2012
Contributions:1041 commits in 2 years
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.