William Hlavacek
Managing Member at The University of New Mexico
Los Alamos, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolWilliam Hlavacek is a computational biologist and managing member who applies AI-driven, Bayesian and mechanistic modeling to dissect complex cell signaling, immunology, and cancer systems. With over two decades of research at institutions including Los Alamos National Laboratory and leadership roles spanning academia and industry, he translates theoretical biophysics into actionable drug-combination strategies. He currently leads Tsama Research to build and validate system-level models targeting oncogenic drivers while maintaining joint appointments at the New Mexico Consortium and the University of New Mexico. Known for bridging rigorous theory with practical validation, he combines deep expertise in systems biology and bioinformatics with a physicist’s quantitative rigor.
8 years of coding experience
University of MichiganUniversity of Arkansas
Github Skills (23)
markov-chain10
parallelization10
decomposition10
parameterization10
chain10
sampling10
sbml10
monte-carlo10
markov10
optimization10
mcmc9
rule7
modeling5
rule-based5
python4
Programming languages (4)
Github contributions (5)
lanl/PyBNF
Jun 2021 - Jan 2023
An application for parameterization of biological models available in SBML and BNGL formats. Features include parallelization, metaheuristic optimization algorithms, and an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm.
Contributions:1 release, 54 commits, 42 PRs in 1 year 7 months
optimization-algorithmsadaptivemarkov-chain-monte-carlochainmonte-carlo
lanl/SeasonalFlu-2022-Predictions
Jan 2022 - Jan 2022
Contributions:3 pushes, 1 branch in 1 day
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