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Hamsa Bastani

University of Pennsylvania (from arXiv:2602.08892, 2026) · ORCID · OpenAlex

16 papers in scope · 14 published · 2 on the econ.EM arXiv · 743 citations · h-index 10 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Osbert Bastani
  2. Bryce McLaughlin
  3. Michael Hotard
  4. Jeremy Ferwerda
  5. Kirk Bansak
  6. Dominik Rothenhaüsler
  7. Ron Berman
  8. Hangcheng Zhao
  9. Jens Hainmueller
  10. Walter W. Zhang
  11. Liyang Sun
  12. Elisabeth Paulson
  13. Adam Rosen
  14. Sokbae Lee
  15. Yifan Guo
  16. Roger Koenker
  17. Jiaying Gu
  18. Victor Chernozhukov
  19. Charles F. Manski
  20. Yuta Koike

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(2 of 16)

Improving access to essential medicines via decision-aware machine learning
published2026 · Nature
with Angel Tsai-Hsuan Chung, Jatu Abdulai, Patrick Bayoh, Lawrence Sandi, Francis Smart, Osbert Bastani
working paper2026 · arXiv
working paper2025 · arXiv
Generative AI without guardrails can harm learning: Evidence from high school mathematics
published2025 · Proceedings of the National Academy of Sciences · 182 citations · first circulated 2024
with Osbert Bastani, Alp Sungu, Haosen Ge, Özge Kabakcı, Rei Mariman
Unmasking Human Trafficking Risk in Commercial Sex Supply Chains with Machine Learning
published2025 · Manufacturing & Service Operations Management · 18 citations · first circulated 2021
with Pia Ramchandani, Emily Wyatt
Multitask Learning and Bandits via Robust Statistics
published2025 · Management Science · 5 citations · first circulated 2021
with Kan Xu
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
published2024 · Journal of the American Statistical Association · 2 citations · first circulated 2023
with Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Edgar Dobriban
Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System
published2022 · INFORMS Journal on Applied Analytics · 10 citations · first circulated 2021
with Kimon Drakopoulos, Vishal Gupta, Jon Vlachogiannis, Christos Hadjichristodoulou, Παγώνα Λάγιου, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras
Improving Human Decision-Making with Machine Learning
published2022 · Academy of Management Proceedings · 12 citations
with Osbert Bastani, Park Sinchaisri
Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?
published2021 · Management Science · 25 citations · first circulated 2019
with Arielle Anderer, John Silberholz
Learning Personalized Product Recommendations with Customer Disengagement
published2021 · Manufacturing & Service Operations Management · 33 citations · first circulated 2018
with Pavithra Harsha, Georgia Perakis, Divya Singhvi
Meta Dynamic Pricing: Transfer Learning Across Experiments
published2021 · Management Science · 76 citations · first circulated 2019
with David Simchi-Levi, Ruihao Zhu
Predicting with Proxies: Transfer Learning in High Dimension
published2020 · Management Science · 14 citations
Mostly Exploration-Free Algorithms for Contextual Bandits
published2020 · Management Science · 23 citations
with Mohsen Bayati, Khashayar Khosravi
Online Decision Making with High-Dimensional Covariates
published2019 · Operations Research · 279 citations · first circulated 2015
Evidence of Upcoding in Pay-for-Performance Programs
published2018 · Management Science · 64 citations
with Joel Goh, Mohsen Bayati

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.