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Research (By Topic)
My current research centers around (1) machine learning algorithms, (2) data-driven social good, and (3) the human-AI interface.
Machine Learning Algorithms
I primarily study the design and analysis of transfer learning and sequential decision-making algorithms for effective data-driven decision-making.
Applications include personalized healthcare, clinical trial designs, dynamic pricing and product recommendations.
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
X. Huang, K. Xu, D. Lee, H. Hassani, H. Bastani and E. Dobriban
Major Revision, JASA
Multitask Learning and Bandits via Robust Statistics
K. Xu and H. Bastani
Third Place, IBM Service Science Best Student Paper Award
Management Science (Forthcoming)
Generative Adversarial Model-Based Optimization via Source Critic Regularization
M. Yao, Y. Zeng, H. Bastani, J. Gardner, J. Gee and O. Bastani
NeurIPS (2024)
Stochastic Bandits with ReLU Neural Networks
K. Xu, H. Bastani, S. Goel and O. Bastani
ICML (2024)
Uniformly Conservative Exploration in Reinforcement Learning
W. Xu, Y. Ma, K. Xu, H. Bastani and O. Bastani
AISTATS (2023)
Efficient and Targeted COVID-19 Border Testing via Reinforcement Learning
H. Bastani*, K. Drakopoulos*, V. Gupta*, J. Vlachogiannis, C. Hadjicristodoulou, P. Lagiou, G. Magiorkinis, D. Paraskevis and S. Tsiodras
(* denotes equal contribution)
Nature 599 (7883), 108-113 (2021)
[Editorial], [Algorithm Overview], [Code], and [Data]
Winner, Pierskalla Award for Best Paper in Healthcare (2021)
Second Place, Public Sector in OR Best Paper Award (2021)
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
K. Xu, X. Zhao, H. Bastani and O. Bastani
Major Revision, Management Science, preliminary version in ICML (2021)
Robust Generalization of Quadratic Neural Networks via Function Identification
K. Xu, H. Bastani and O. Bastani
Applied Machine Learning in Operations Management
H. Bastani, D. J. Zhang and H. Zhang
Innovative Technology at the Interface of Finance & Operations
Springer Series; edited by V. Babich, J. Birge and G. Hilary
Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?
A. Anderer, H. Bastani and J. Silberholz
Management Science 68 (3), 1982-2002 (2022) [Data & Code]
Winner, Pierskalla Award for Best Paper in Healthcare (2019) and MSOM Student Paper Competition (Anderer, 2020)
Finalist, Public Sector in OR Best Paper Award (2020)
Meta Dynamic Pricing: Transfer Learning Across Experiments
H. Bastani, D. Simchi-Levi and R. Zhu
Management Science, 68 (3), 1865-1881 (2022)
Learning Personalized Product Recommendations with Customer Disengagement
H. Bastani, P. Harsha, G. Perakis and D. Singhvi
M&SOM (Articles in Advance)
Second Place, Service Science Best Paper Award (2019)
Predicting with Proxies: Transfer Learning in High Dimension
H. Bastani
Management Science 67 (5), 2964-2984 (2021)
Mostly Exploration-Free Algorithms for Contextual Bandits
H. Bastani, M. Bayati and K. Khosravi
Management Science, 67(3), 1329-1349 (2021) [Code]
Online Decision-Making with High-Dimensional Covariates
H. Bastani and M. Bayati
Operations Research, 68 (1), 276-294 (2020)
Winner of Pierskalla Award for Best Paper in Healthcare (2016), George Nicholson Student Paper Competition (2016),
MSOM Student Paper Competition (2016), and IBM Service Science Best Student Paper Award (2016)
Data-Driven Social Good
I am passionate about using novel sources of data to better enable socially responsible operations, education and healthcare policy.
Generative AI Can Harm Learning
H. Bastani*, O. Bastani*, A. Sungu*, H. Ge, Özge Kabakçı, R. Mariman
(* denotes equal contribution)
Optimizing Health Supply Chains with Decision-Aware Machine Learning
T.-H. Chung, J. Abdulai, P. Bayoh, L. Sandi, F. Smart, H. Bastani and O. Bastani
Finalist, MSOM Student Paper Competition (Chung, 2024), Doing Good with Good OR (Chung, 2024), Public Sector in OR Best Paper Award (2024)
Unmasking Human Trafficking Risk in Commercial Sex Supply Chains with Machine Learning
P. Ramchandani, H. Bastani and E. Wyatt
(collaboration with TellFinder Alliance & Uncharted Software)
Winner, MSOM Student Paper Competition (Ramchandani, 2022), Service Science Best Student Paper Award (Ramchandani, 2021)
Second Place, POMS Sustainable OM Student Paper Award (Ramchandani, 2022) and Finalist, Public Sector in OR Best Paper Award (2021)
People's Choice Award, Early-Career Sustainable OM Workshop (2022)
Minor Revision, M&SOM
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
V. Avadhanula, O. Baki, H. Bastani, O. Bastani, et al.
NeurIPS DMML & RL4RealLife Workshops (2022)
Responsible Sourcing: The First Step is the Hardest
P. Ramchandani, H. Bastani and K. Moon
People's Choice Award, Early-Career Sustainable OM Workshop (2020)
Artificial Intelligence for Climate Change Adaptation
S-M. Cheong, K. Sankaran and H. Bastani
WIREs Data Mining & Knowledge Discovery Perspectives (Articles in Advance)
Reinforcement Learning for Public Health: Targeted COVID-19 Screening
H. Bastani, K. Drakopoulos and V. Gupta
AI for Social Impact (Forthcoming)
Online; edited by F. Fang, M. Tambe and B. Wilder
Are Bans Effective under Limited Monitoring? Evidence from High Seas Management
H. Bastani and J. F. de Zegher
People's Choice Award, Early-Career Sustainable OM Workshop (2019)
Evidence of Upcoding in Pay-for-Performance Programs
H. Bastani, J. Goh and M. Bayati
Management Science, 65 (3), 1042-1060 (2019)
Winner, Health Applications Society Best Student Paper Award (2015)
News coverage: Science Daily
Analysis of Medicare Pay-for-Performance Contracts
H. Bastani, M. Bayati, M. Braverman, R. Gummadi, and R. Johari
EC Mechanism Design for Social Good Workshop (2017)
Human-AI Interface
I am excited about developing methods for integrating insights from machine learning models into human workflows.
Rethinking Fairness for Human-AI Collaboration
H. Ge, H. Bastani and O. Bastani
Preliminary version in ITCS (2024)
Improving Human Sequential Decision-Making with Reinforcement Learning
H. Bastani, O. Bastani and P. Sinchaisri
Winner, Behavioral OM Best Working Paper Award (2021) and INFORMS Data Mining Best Paper Award (2022)
Second Place, TIMES Working Paper Award (2021) and POMS Behavioral OM Student Paper Award (Sinchaisri, 2021)
Minor Revision, Management Science
Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System
H. Bastani*, K. Drakopoulos*, V. Gupta*, J. Vlachogiannis, C. Hadjicristodoulou, P. Lagiou, G. Magiorkinis, D. Paraskevis and S. Tsiodras
(* denotes equal contribution)
INFORMS Journal on Applied Analytics (Forthcoming)
Winner, Wagner Prize for Excellence in Practice (2021)
Proceed with Care: Integrating Predictive Analytics with Patient Decision-Making
H. Bastani and P. Shi
AI for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
Cambridge University Press; edited by S. Suen, E. Enns and D. Scheinker
Interpreting Predictive Models for Human-in-the-Loop Analytics
O. Bastani, C. Kim and H. Bastani
FATML Workshop (2017)
Finalist, Pierskalla Award for Best Paper in Healthcare (2018)
News coverage: New York Times, Sloan Management Review
Optics
In my past life, I used to work on experimental optics research.
Creating Optical Vortex Modes with a Single Cylinder Lens
H. Sridhar, M. Cohen and J. Noe
Proc. SPIE (2010)
Multiplex coherent anti-Stokes Raman scattering (MCARS) for chemically sensitive, label-free flow cytometry
C. Camp, S. Yegnanarayanan, A. Eftekhar, H. Sridhar and A. Adibi
Optics Express (2009)
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