Jyotishka Datta
Associate Professor
Blacksburg, Virginia, United States
Summary
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Senior🎓
Top SchoolJyotishka Datta is an Associate Professor of Statistics at Virginia Tech with a decade of academic and applied experience developing Bayesian methods for high-dimensional inference. He earned a Ph.D. from Purdue and completed postdoctoral work at Duke and SAMSI, and his research on shrinkage priors—including influential work on the horseshoe and horseshoe+—has advanced sparse signal recovery across genomics, neuroscience, ecology, and criminal justice. Dr. Datta blends deep theoretical expertise with interdisciplinary collaboration, translating Bayesian innovations into practical tools for social science and health research. He has been recognized with the Dayanand Naik Award from the Virginia ASA chapter, reflecting both scholarly impact and service to the statistical community. Based in Blacksburg, he also brings industry experience from analytics work in financial services, a perspective that informs his applied focus on reproducible, data-driven solutions.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Purdue UniversityB.Stat; M.Stat, Statistics, B.Stat; M.Stat, Statistics at Indian Statistical Institute, Kolkata
Github Skills (10)
ups10
square-root8
integral7
in-progress6
bayesian4
stan4
square3
transpiler2
programming-language2
compiler1
Programming languages (3)
Github contributions (5)
DattaHub/bayes-sqlasso
Jun 2017 - Sep 2024
Contributions:1 release, 5 PRs, 26 pushes in 7 years 4 months
in-progresssquare-rootlassosquareroot
DattaHub/compshrink
Nov 2019 - Apr 2024
Contributions:2 pushes, 1 branch in 4 years 5 months
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