Evan Seitz
Research Scientist at InstaDeep
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEvan Seitz is a research scientist specializing in deep learning and computational biophysics with eight years of experience bridging academic rigor and industry research. After earning a PhD in Computational Biophysics from Columbia, he completed a postdoctoral fellowship at Cold Spring Harbor Laboratory and now applies his expertise at InstaDeep in New York. His background combines advanced modeling of biological systems with practical machine learning implementations, informed by a rare creative-technical trajectory that began in motion graphics and media production. Evan’s work reflects both high-impact research and product-focused development, making him adept at translating complex biophysical problems into deployable ML solutions.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Physics, 3.9: Highest Honor, Bachelor of Science - BS, Physics, 3.9: Highest Honor at Georgia Institute of TechnologyDoctor of Philosophy - PhD, Computational Biophysics, with distinction, Doctor of Philosophy - PhD, Computational Biophysics, with distinction at Columbia University in the City of New YorkBachelor of Arts, Mass Communications, Bachelor of Arts, Mass Communications at Georgia College and State UniversityDiploma, Diploma at Duluth High School
Github Skills (67)
hugo-theme10
sum10
netlify10
rmarkdown10
obsidian10
roamresearch10
blogdown10
rstudio10
forestry9
academia9
multiplex9
hugo9
python9
regularization9
os-agnostic9
Programming languages (5)
Github contributions (5)
evanseitz/ManifoldEM_ESPER
Jun 2021 - Sep 2022
Software implementation for paper Heuristic Analysis of Manifolds from Simulated Cryo-EM Ensemble Data
Contributions:3 releases, 2 PRs, 21 pushes in 1 year 3 months
heuristiccryo-emdataminingensemblemachine-learning
evanseitz/POLARIS
Nov 2018 - Jul 2020
Contributions:1 release, 48 commits, 16 pushes in 1 year 8 months
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