Jyotishka Datta

Associate Professor

Blacksburg, Virginia, United States
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Summary

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Senior
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Jyotishka 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.
code10 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Purdue University
bookB.Stat; M.Stat, Statistics, B.Stat; M.Stat, Statistics at Indian Statistical Institute, Kolkata
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Github Skills (9)

ups10
square-root8
in-progress7
integral7
square6
bayesian5
stan2
cpp2
transpiler1

Programming languages (3)

OCamlJavaScriptHTML

Github contributions (5)

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DattaHub/dattahub.github.io

Mar 2016 - Jul 2022

Website for current projects, intended for sharing codes for recently developed Statistical methods and also other write-ups. Created and maintained by Jyotishka Datta.
Contributions:358 commits, 398 pushes in 6 years 5 months
recentlysharingstatisticalwrite-upsstatistical-methods
DattaHub/bayes-sqlasso

Jun 2017 - Sep 2024

Contributions:1 release, 5 PRs, 26 pushes in 7 years 4 months
in-progresssquare-rootlassosquareroot
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