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 bandit algorithms for effective data-driven decision-making.
Applications include personalized healthcare, clinical trial designs, dynamic pricing and product recommendations.

Learning Across Bandits in High Dimension via Robust Statistics
K. Xu and H. Bastani

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
Preliminary version in ICML (2021)

Robust Generalization of Quadratic Neural Networks via Function Identification
K. Xu, H. Bastani and O. Bastani

Safely Bridging Offline and Online Reinforcement Learning
W. Xu, Y. Ma, K. Xu, H. Bastani and O. Bastani

Applied Machine Learning in Operations Management
H. Bastani, D. J. Zhang and H. Zhang
Invited book chapter for Innovative Technology at the Interface of Finance & Operations (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 and healthcare policy.

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, Service Science Best Student Paper Award (Ramchandani, 2021) and People's Choice Award, Early-Career Sustainable OM Workshop (2022)
Second Place, POMS Sustainable OM Student Paper Award (Ramchandani, 2022) and Finalist, Public Sector in OR Best Paper Award (2021)

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 (2022)

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

Human-AI Interface


I am excited about developing methods for integrating insights from machine learning models into human workflows.

Improving Human Decision-Making with Machine Learning
H. Bastani, O. Bastani and P. Sinchaisri
Winner, Behavioral OM Best Working Paper Award (2021)
Second Place, TIMES Working Paper Award (2021) and POMS Behavioral OM Student Paper Award (Sinchaisri, 2021)

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
Invited book chapter for Modeling for Health: Making Changes (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
Preliminary version in FATML (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)