Amanda Kedaigle
Principal Scientist, Data Product
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolAmanda Kedaigle is a computational biologist and Principal Scientist specializing in translating high-throughput molecular data into therapeutically actionable insights, currently leading a team applying AI to RNA therapeutics at Deep Genomics. With 11 years of experience across biotech and top research labs—including Broad Institute, Harvard, and MIT—she combines systems biology, single-cell analysis, and network-based omics integration to drive gene therapy and neurobiology programs. Her PhD work produced Omics Integrator, a network-focused tool still reflecting her knack for bridging algorithm development with wet-lab questions. Known for tackling rare and understudied diseases through volunteer and industry projects, she brings both rigorous academic roots and product-oriented leadership to complex translational problems.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Biology, Doctor of Philosophy (PhD) Computational Biology at Massachusetts Institute of TechnologyBA Bioinformatics, BA Bioinformatics at Wellesley College
Github Skills (32)
working-directory10
python-scripts10
python8
chip-seq7
machine-learning7
gpu7
deep-learning7
cran7
neural-network5
numpy5
bioinformatics4
go3
modeling3
gpu-acceleration3
single-cell-genomics3
Programming languages (6)
Github contributions (5)
AmandaKedaigle/OrganoidAtlas
Nov 2020 - Mar 2022
Contributions:43 commits in 1 year 4 months
AmandaKedaigle/BrainOrganoidsReproducibility
Nov 2018 - Jun 2019
Code to go along with Velasco et. al.
Contributions:14 commits, 13 pushes, 1 branch in 6 months
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