Himadri S. Pandey

Himadri S. Pandey

PhD Candidate, Machine Learning

H. Milton Stewart School of Industrial and Systems Engineering

Georgia Institute of Technology

Atlanta, GA, USA

hpandey30 at gatech dot edu

I am a PhD student in Machine Learning at Georgia Tech, based in the H. Milton Stewart School of Industrial and Systems Engineering, advised by Dr. Gian-Gabriel Garcia. My research sits at the intersection of decision-focused learning, sequential decision-making under uncertainty, and reinforcement learning, with a focus on healthcare applications where decisions are shaped by limited resources and noisy observations.

Current projects include learning neural index policies for restless multi-action bandits with heterogeneous budgets (with applications to clinical deterioration in hospitalized children), resource-constrained diagnostic test design.

Before starting my PhD, I worked as an Applied Scientist at Lucas Systems (2019–2022) building optimization and ML tools for warehouse operations. I received my B.S. in Computer Science (with minors in Mathematics and Physics) from the University of Cincinnati in 2019.

News

  • [2026-04] Selected as a Finalist in the Georgia Tech 3 Minute Thesis (3MT) Competition.
  • [2026-03] Received The Philip J. and Delores A. Scott Graduate Student Health and Wellness Award from ISyE for my work on support mental health and wellness in the ISyE PhD program.
  • [2025-08] Wrapped up my summer as an Applied Scientist Intern at AWS, where I built AWS’s first time-series forecasting framework for ML traffic between EC2 and S3 GPU fabrics.

Publications

Google Scholar | * indicates authors with equal contribution
Neural Index Policies for Restless Multi-Action Bandits with Heterogeneous Budgets (2025)
Himadri S. Pandey, Kai Wang, Gian-Gabriel P. Garcia
Under Review — ICML 2026
Keywords: Restless Multi-Action Bandits, Heterogeneous Budgets, Neural Index Policies, Clinical Deterioration
Collaboration: Georgia Tech
🏆 Finalist, Lee B. Lusted Student Prize Competition (QMTD), SMDM 2026
Full Paper
So Many Tests, So Little Time: Operationally Constrained Machine Learning for Diagnostic Assessment under Time Constraints (2025)
Himadri S. Pandey, Gian-Gabriel P. Garcia, Paul F Pasquina, Michael A. McCrea, Thomas W. McAllister, Steven P. Broglio, Landon B. Lempke, CARE Consortium Investigators
Under Review — IISE Transactions
Keywords: Concussion Diagnosis, Resource-Constrained Test Design, Decision-Focused Learning
Collaboration: Georgia Tech, Medical College of Wisconsin, Indiana University, University of Michigan
🏆 MIF Student Poster Competition Winner, INFORMS 2024
Quantifying the Diagnostic Utility of Baseline Testing: An Analysis of Collegiate Athletes from the NCAA-DoD CARE Consortium Dataset (2025)
Himadri S. Pandey, Julianne D. Schmidt, Robert C. Lynall, Paul F Pasquina, Michael A. McCrea, Thomas W. McAllister, Steven P. Broglio, Gian-Gabriel P. Garcia, CARE Consortium Investigators
The American Journal of Sports Medicine
Keywords: Concussion, Baseline Testing, Diagnostic Utility, Sports Medicine
Collaboration: Georgia Tech, University of Georgia, Medical College of Wisconsin, Indiana University, University of Michigan
Full Paper
Optimizing Baseline and Post-Concussion Assessments Through Factor Structure Analysis: Findings from the NCAA-DoD CARE Consortium (2023)
Landon B. Lempke, Adrian J. Boltz, Gian-Gabriel P. Garcia, Reid A. Syrydiuk, Himadri S. Pandey, Paul F Pasquina, Michael A. McCrea, Thomas W. McAllister, Steven P. Broglio, CARE Consortium Investigators
The Clinical Neuropsychologist
Keywords: Concussion Assessment, Factor Analysis, Collegiate Athletes
Collaboration: University of Michigan, Georgia Tech, Medical College of Wisconsin, Indiana University
Full Paper
Designing Interpretable Machine Learning Models Using Mixed Integer Programming (2023)
Seung Ji Lee, Himadri S. Pandey, Gian-Gabriel P. Garcia
Encyclopedia of Optimization (3rd Edition), Springer
Keywords: Interpretable Machine Learning, Mixed Integer Programming, Optimization
Collaboration: Georgia Tech
Full Paper
A Python Upgrade to the GooFit Package for Parallel Fitting (2019)
Henry Schreiner, Himadri S. Pandey, Michael Sokoloff, Karen Tomko, Christoph Hasse, Bradley Hittle
EPJ Web of Conferences
Keywords: GooFit, Parallel Computing, Maximum-Likelihood Fits, High-Energy Physics
Collaboration: University of Cincinnati, Ohio Supercomputer Center, CERN
Full Paper
A Python Upgrade to the GooFit Package for Parallel Fitting (2018)
Henry Schreiner, Himadri S. Pandey, Michael Sokoloff, Karen Tomko, Christoph Hasse, Bradley Hittle
CHEP 2018 Proceedings
Keywords: GooFit, Parallel Computing, Maximum-Likelihood Fits, High-Energy Physics
Collaboration: University of Cincinnati, Ohio Supercomputer Center, CERN
GooFit 2.0 (2018)
Henry Schreiner, Christoph Hasse, Bradley Hittle, Himadri S. Pandey, Michael Sokoloff, Karen Tomko
Journal of Physics: Conference Series
Keywords: GooFit, Parallel Computing, High-Energy Physics
Collaboration: University of Cincinnati, Ohio Supercomputer Center, Technical University of Dortmund

Awards

2026

  • Finalist, Lee B. Lusted Student Prize Competition (QMTD), SMDM Annual Meeting
  • Finalist, 3 Minute Thesis (3MT) Competition, Georgia Tech

    Award Details Media Coverage

  • Phillip J. and Delores A. Scott Graduate Student Health and Wellness Award, ISyE, Georgia Tech

2025

  • George Family Fellowship for Research Excellence in Healthcare Systems, ISyE, Georgia Tech

    Award Details

  • Phillip J. and Delores A. Scott Graduate Student Health and Wellness Award, ISyE, Georgia Tech

2024

  • Winner, MIF Student Poster Competition, INFORMS Annual Meeting

    Award Details

  • George Family Fellowship for Research Excellence in Healthcare Systems, Georgia Tech

    Award Details

  • Phillip J. and Delores A. Scott Graduate Student Health and Wellness Award, Georgia Tech
  • David Cowan Scholarship, Georgia Chapter of Healthcare Information and Management Systems Society (HIMSS)

    Award Details

2022

  • Topper Fellowship for Incoming PhD Student, Georgia Tech

2021

  • Employee of the Quarter (Q3), Lucas Systems

2019

  • Best Senior Design Project (1st Prize), CEAS Expo, University of Cincinnati
  • University Honors Scholar, University of Cincinnati

2018

  • CRA-W Grace Hopper Celebration Scholar
  • DIANA-HEP Fellowship

    Award Details

2017

  • SmallSat Student Award, Small Satellite Conference

2016

  • SmallSat Student Award, Small Satellite Conference

2015

  • UC CEAS International Outreach Scholarship, University of Cincinnati (2015–2019)

Academic Service

Session Chair

2024   |   INFORMS Annual Meeting
2026   |   INFORMS Annual Meeting

University Service

2024 – Present   |   Bee Well Ambassador, H. Milton Stewart School of ISyE, Georgia Tech
• Peer-led initiative supporting graduate-student mental health and well-being in ISyE.
2024 – 2025   |   Graduate Student Representative, Emerging Leaders Advisory Board, Georgia Tech
• Met monthly with Georgia Tech administrators to provide graduate-student input on policies, programs, and resources — including graduate funding models, housing, career development, international student engagement, and well-being initiatives.
2023 – 2025   |   Mental Health & Well-Being Committee, Graduate Student Government Association, Georgia Tech
• Served on the committee to promote mental health and well-being initiatives for graduate students at Georgia Tech.

Conference Abstract Reviewer

2026   |   SMDM Annual Meeting

Journal Reviewer

2025   |   BMJ Open Sport & Exercise Medicine

Invited Talks

2025 Presentation at INFORMS Annual Meeting on ""
2023 Presentation at INFORMS Annual Meeting on ""

Teaching

@ Georgia Institute of Technology | Atlanta, GA, USA
Instructor
Summer 2026   |   ISyE 4600 - Methods and Applications of Machine Learning
@ University of Cincinnati | Cincinnati, OH, USA
Coding Mentor, Google Ignite CS — Bearcat Coders
Aug 2015 – Dec 2016   |   High-School Coding Outreach
• Mentored and taught coding tools to high-school students; guided capstone projects (applications, websites, games).
Peer Leader
Aug 2016 – Dec 2016   |   Freshman Engineering Mentor
• Mentored 40 freshman engineering students and provided academic support.