Fred Davis
Senior Director Of Translational Bioinformatics
Washington, District of Columbia, United States
Summary
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Senior🎓
Top SchoolFred Davis is a Senior Director of Translational Bioinformatics with over two decades at the intersection of computation and biology, driving target discovery and precision medicine across immuno-oncology, inflammation, and neuroscience. He builds and mentors cross-functional computational biology teams in matrixed biotech and pharma settings, translating multi-modal genomic and clinical data into actionable R&D decisions. Technically fluent in Python, R and probabilistic modeling (Stan), he designs novel AI/ML and statistical methods for RNA-seq, single-cell, CRISPR screens, and complex clinical metadata. His track record spans high-impact publications (Cell, Immunity, Neuron), NIH and HHMI research, and leadership roles shaping clinico-molecular real-world data products. Fred’s uncommon blend of a PharmD and a PhD in Biophysics gives him both clinical insight and deep quantitative rigor, enabling effective communication with scientists and strategic stakeholders alike. He’s noted for turning noisy, large-scale genomic measurements into clear hypotheses that advance target validation and partnership-led drug discovery.
10 years of coding experience
13 years of employment as a software developer
Computational and mathematical biology, Computational and mathematical biology at The Rockefeller UniversityPharmD Pharmacy, PharmD Pharmacy at Purdue UniversityPhD Biophysics, PhD Biophysics at University of California, San Francisco
Github Skills (2)
machine-learning4
deep-learning4
Programming languages (1)
Github contributions (5)
fredpdavis/opticlobe
Jul 2018 - Feb 2020
Code accompanying Davis, Nern et al., 2018
Contributions:7 commits, 4 pushes, 1 branch in 1 year 7 months
deep-learningdavismachine-learning
fredpdavis/fredpdavis.github.io
Aug 2015 - Sep 2019
Contributions:32 pushes, 1 branch in 4 years 1 month
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