David Healey
Founding Fellow, Data Science And Machine Learning
Salt Lake City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDavid Healey is a data scientist and machine-learning leader with a decade of experience applying deep neural networks, computer vision, NLP, and graph models to life sciences problems. With a PhD from MIT's Center for the Physics of Living Systems, he has blended rigorous theory in evolutionary and population dynamics with hands-on drug-discovery work—contributing to multiple clinical-stage candidates during his time at Recursion. At Enveda he scaled ML for molecule structure elucidation from mass spectra and reasoning over large biomedical knowledge graphs to accelerate natural product lead generation. He has also taught deep learning for healthcare, consulted across biotech and conservation domains, and led interdisciplinary teams that bridge experimental biology and computational modeling. Notably, his background in stochastic gene expression and social decision-making gives him a distinctive ability to translate complex, noisy biological signals into predictive models with real-world impact.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Evolutionary systems social decisionmaking population dynamics, Doctor of Philosophy (Ph.D.) Evolutionary systems social decisionmaking population dynamics at Massachusetts Institute of TechnologyBS Biochemistry, BS Biochemistry at Brigham Young University
Spanish
Github Skills (200)
woocommerce10
tuner10
cpp10
mobile-application10
audio-processing10
pitch-shifting10
juce10
lv210
pitch-detection10
libpurple10
cordova10
php10
music-notation10
audio10
sampler10
Programming languages (16)
Github contributions (5)
davidhealey/michaelasHarp
Aug 2018 - Oct 2019
Contributions:1 release, 72 commits, 42 pushes in 1 year 2 months
davidhealey/reascript
Jun 2017 - Jul 2017
Contributions:15 commits, 14 pushes, 1 branch in 21 days
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