Rachel Hodos-nkhereanye
Lead AI ML Scientist at Labcorp
Cleveland, Ohio, United States
Summary
👤
Senior🎓
Top SchoolRachel Hodos-nkhereanye is a Lead AI/ML Scientist with a PhD in Computational Biology and over a decade of experience applying machine learning to high-stakes scientific problems. She has spent six years building BenevolentAI’s drug discovery platform—leading teams, creating explainable knowledge-graph link prediction methods, and driving data quality initiatives that cut tagging errors and sped platform decisions 10x. Her background spans NLP, recommender systems, bioinformatics and experiment design, grounded in hands-on engineering from her early NASA HPC work to current statistical models for variant interpretation at Labcorp. Rachel blends technical depth with product thinking and stakeholder-first roadmapping, and is comfortable toggling between individual contributor and leadership roles. An unusual detail: she pairs a rigorous math background with a minor in dance, reflecting a knack for translating abstract structure into clear, communicable results.
12 years of coding experience
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at University of HoustonDoctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at New York University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
biology9
discovery9
drug-discovery9
quantum-chemistry8
chemistry8
science8
deep-learning7
Programming languages (1)
Github contributions (5)
clinicalml/drug_repurposing
Jan 2015 - Dec 2015
Contributions:144 pushes, 1 comment in 10 months
clinicalml/dgc_predict
Oct 2016 - Apr 2018
Contributions:78 commits, 2 pushes in 1 year 6 months
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