Ammon Thompson
Visiting Scientist at ORISE
Alexandria, Virginia, United States
Summary
👤
Senior🎓
Top SchoolAmmon Thompson is a computational biologist and visiting scientist with nine years of experience developing statistical and deep-learning methods for genomics and phylogenetics. He builds simulation-trained neural networks and MMD variational autoencoders to extract epidemiological parameters and detect anomalies from complex phylogenetic–trait data in seconds, matching Bayesian phylodynamic accuracy at a tiny fraction of the compute time. His background spans transcriptomics, phylogenetics, and evolutionary biology, and he has produced widely used tools including the zigzag R package for Bayesian gene expression classification. At UC Davis and ORISE he combined high-performance computing, rigorous uncertainty quantification (conformalized quantile regression), and mentoring to translate methods into reproducible pipelines. He also has wet-lab experience—from sequencing and discovering novel ion channels to managing QC for protein assays—giving him rare fluency across experiment, computation, and statistical theory.
9 years of coding experience
PhD, Evolution, Ecology, and Behavior, PhD, Evolution, Ecology, and Behavior at The University of Texas at AustinBS, Neuroscience, BS, Neuroscience at Brigham Young University
Github Skills (5)
stochastic-processes6
statistical-models6
phylogenetics6
evolution6
deep-learning4
Programming languages (1)
Github contributions (5)
ammonthompson/compensatory_drift
Jun 2019 - Dec 2020
Contributions:15 commits, 14 pushes, 1 branch in 1 year 5 months
ammonthompson/zigzag
Jul 2019 - Feb 2021
Contributions:2 releases, 131 commits, 115 pushes in 1 year 7 months
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