Nathan Lapierre
Research Fellow at Dana-Farber Cancer Institute
United States
Summary
👤
Senior🎓
Top SchoolNathan LaPierre is a computational biologist and postdoctoral research fellow at Harvard Medical School and Dana-Farber Cancer Institute with 11 years of experience bridging machine learning, statistical genetics, and genomics. He develops deep generative models applied to single-cell data to make causal predictions of perturbation effects, building on prior work in Mendelian randomization, fine-mapping, disease prediction with deep learning, and metagenomics. His trajectory spans impactful academic research from a PhD at UCLA through postdoctoral roles at the University of Chicago, and includes early bioinformatics contributions such as the CAMIL multiple-instance learning pipeline for microbiome-based disease prediction. Comfortable moving between software engineering and statistical methodology, he brings practical systems experience from industry internships and a history of publishing in competitive bioinformatics venues. Colleagues describe him as someone who combines theoretical rigor with hands-on model engineering to translate high-dimensional biology into testable causal hypotheses.
11 years of coding experience
8 years of employment as a software developer
Advanced Studies Diploma, Advanced Studies Diploma at Thomas Jefferson High School for Science and TechnologyUniversity of California, Los AngelesBachelor of Science (B.S.) Computer Software Engineering, Bachelor of Science (B.S.) Computer Software Engineering at George Mason University
English
Github Skills (41)
fine-mapping10
bioinformatics10
hash10
containment10
decomposition9
package-management9
conda9
profiling9
principal-component-analysis9
bioconda8
gwas8
sampling8
causal7
traits6
statistics6
Programming languages (9)
Github contributions (5)
smangul1/MiCoP
Dec 2017 - Mar 2022
MiCoP is a method for high-accuracy profiling of viral and fungal metagenomic communities.
Contributions:22 commits, 21 pushes, 17 comments in 4 years 4 months
profilingviralhigh-accuracymethodcommunities
nlapier2/Metalign
Sep 2018 - Nov 2020
Metalign: efficient alignment-based metagenomic profiling via containment min hash
Contributions:8 releases, 259 commits, 1 PR in 2 years 1 month
profilingcontainmentalignmenthash
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.