Gautam Sabnis
Associate Computational Scientist
Bar Harbor, Maine, United States
Summary
👤
Senior🎓
Top SchoolGautam Sabnis is an associate computational scientist with eight years of experience applying Bayesian and semi-parametric methods to high-dimensional problems in biomedical research. Based at The Jackson Laboratory in Bar Harbor, he progressed from biostatistician to computational scientist, bringing practical expertise in Bayesian logistic regression, instrumental variable models, and advanced statistical computing. His academic work includes a PhD in Statistics and a novel quasi-Bayesian semi-parametric approach to endogeneity in high-dimensional IV models available on arXiv. Comfortable both coding and teaching, he has implemented scalable models on large faculty-placement datasets and taught advanced statistical computing using R. Colleagues describe him as a method-focused problem solver who translates complex statistical theory into reproducible analysis for translational science.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Florida State UniversityBachelor's degree, Statistics, Bachelor's degree, Statistics at St. Xavier's CollegeMaster's degree, Statistics, Master's degree, Statistics at Savitribai Phule Pune University
English, Hindi, Marathi
Github Skills (22)
git9
github9
patch7
subversion5
classifier5
sublime-text5
python3
quarto3
julia3
gnome-terminal3
ipython3
rstudio2
machine-learning2
r2
tmux2
Programming languages (4)
Github contributions (5)
KumarLabJax/vFI-modeling
Sep 2021 - Oct 2022
Contributions:1 release, 5 pushes, 2 branches in 1 year 1 month
gautam-sabnis/mousegwas
Nov 2022 - Feb 2025
Contributions:15 pushes in 2 years 3 months
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