Héctor Martin
Staff Scientist at Joint BioEnergy Institute
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolHéctor Martin is a Staff Scientist and quantitative modeler based in Berkeley with nine years of focused experience translating mathematical rigor into predictive tools for microbial metabolism and biofuel production. With a Ph.D. in theoretical condensed matter physics, he pivoted to computational biology and over more than a decade at Lawrence Berkeley National Laboratory and the Joint BioEnergy Institute has built and led teams that develop 13C flux measurement methods, mechanistic metabolic models, and online visualization and databases for multi-omics data. He combines hands-on Python and machine learning skills with expertise in synthetic biology, metabolic engineering, and automation to guide pathway and host engineering efforts. Héctor is also experienced in securing research funding and running directorates, blending technical leadership with program management. Not obvious from his title: his background in theoretical physics underpins a talent for turning complex nonlinear optimization problems into practical experimental workflows.
9 years of coding experience
12 years of employment as a software developer
University of Illinois Urbana-ChampaignLicenciatura, Physics (Solid state), Licenciatura, Physics (Solid state) at Universidad del País Vasco/Euskal Herriko Unibertsitatea
Github Skills (11)
synthetic10
computational-biology9
synthetic-biology9
quantitative9
biology8
modeling8
python7
machine-learning7
time-series5
testing2
simulation2
Programming languages (1)
Github contributions (5)
JBEI/KineticLearning
Jan 2018 - Jan 2020
Learning Kinetic Models from Time Series Proteomics and Metabolomics Data
Contributions:3 commits, 2 pushes, 1 comment in 2 years
kinetickinetic-modelingmachine-learningsynbioproteomics
JBEI/jqmm
Dec 2016 - May 2017
JBEI Quantitative Metabolic Modeling library
Contributions:36 commits, 2 PRs, 36 pushes in 5 months
modelingquantitative
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