David Gerard
Associate Professor
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolDavid Gerard is an associate professor of Statistics with a decade of experience developing hierarchical and multivariate methods for biological data, currently leading research at American University. His work bridges empirical Bayes modeling and computational statistics, with a recent focus on the challenging genetics of polyploid organisms. He has a strong track record from PhD research through a University of Chicago postdoc, mentoring students and building reproducible analysis pipelines for large-scale gene expression and array-variate datasets. David pairs deep theoretical training (PhD UW, MS/BS Ohio State) with hands-on method implementation and teaching, and often tackles problems where nontrivial computation meets complex biological structure.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, 3.82, Doctor of Philosophy (Ph.D.), Statistics, 3.82 at University of WashingtonMaster’s Degree, Statistics, 3.94, Master’s Degree, Statistics, 3.94 at The Ohio State University
Github Skills (50)
assetbundle10
adjustment10
rewrite10
revit-api10
r-package10
stat10
regression10
linkage10
external10
sequence10
fltk10
r9
next-generation-sequencing9
differential-expression9
machine-learning8
Programming languages (4)
Github contributions (5)
dcgerard/stat234
Jul 2017 - Sep 2020
Contributions:60 commits, 47 pushes, 1 branch in 3 years 2 months
dcgerard/seqgendiff
Jan 2017 - Feb 2022
Sequence Generation for Differential Expression Analysis
Contributions:4 releases, 93 commits, 2 PRs in 5 years 1 month
sequencesequence-generationdifferential-expressiondifferential-expression-analysisexpression-analysis
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