David Merrell

Computational Biologist

Boston, Massachusetts, United States
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Summary

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David Merrell is a computational biologist with a PhD in computer science from UW–Madison and a decade of experience applying Bayesian statistics and machine learning to genomics, transcriptomics, and proteomics. He has led bioinformatics for multi-institutional cancer genomics projects at the Broad Institute, running cloud pipelines from alignment to somatic variant calling and discovering clinically relevant omics associations. Currently at Nabsys, he contributes to the bioinformatics stack for Electronic Genome Mapping, bringing both research-grade probabilistic modeling and production-focused pipeline expertise. His dissertation work uniquely fused pathway databases like KEGG and Reactome into priors for probabilistic models, reflecting a knack for embedding biological knowledge into statistical methods. Colleagues describe him as intellectually curious and growth-oriented, equally comfortable collaborating with clinicians as with software engineers.
code10 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-Madison
bookBachelor of Science, Mathematics, Bachelor of Science, Mathematics at Brigham Young University
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Stackoverflow

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Github Skills (38)

snakemake9
python9
workflow-management8
deep-learning8
bayesian8
matrix-factorization8
tensorflow8
machine-learning8
neural-network8
bioinformatics7
probabilistic-programming7
ml7
deep-neural-networks7
glmnet6
julia6

Programming languages (8)

JuliaRC++TeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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dpmerrell/PathMatFac.jl

Sep 2020 - Feb 2023

A matrix factorization model for multi-omic data and biological pathways
Contributions:233 commits, 2 PRs, 335 pushes in 2 years 4 months
matrix-factorizationbiological-pathwaysgpu-accelerationjulia-packagemultiomics
gitter-lab/ssps

Sep 2019 - Oct 2022

Sparse Signaling Pathway Sampling: MCMC for signaling pathway inference
Contributions:5 releases, 150 commits, 21 PRs in 3 years 1 month
inferencemcmcdynamic-bayesian-networkgenprobabilistic-programming
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