Chamsi Hssaine

About Me

I am an assistant professor in the Department of Data Sciences and Operations at the University of Southern California's Marshall School of Business.

My research interests lie broadly in data-driven decision-making, with applications to pricing and inventory management. Most recently, my research has focused on the impact of fairness considerations in decision-making. Another theme of my work explores new models and algorithms for modern e-commerce platforms.

Previously, I was a postdoctoral scientist in the Supply Chain Optimization Technologies group at Amazon, working under the supervision of Garrett van Ryzin. I obtained my Ph.D. in Operations Research at Cornell University. Prior to that, I graduated magna cum laude from Princeton University, with a B.S.E. in Operations Research and Financial Engineering, and a minor in Applied Mathematics.

Research

Working Papers

Sequential Fair Allocation with Replenishments: A Little Envy Goes An Exponentially Long Way

Siddhartha Banerjee, Chamsi Hssaine, Chido Onyeze, Sean Sinclair.

Major Revision in Manufacturing & Service Operations Management.

Preliminary version: SIGMETRICS'26.

Finalist for Best Paper Award at SIGMETRICS'26.

On the Power of Delayed Flexibility: Balls, Bins, and a Few Opaque Promotions

Daniel Freund, Chamsi Hssaine, Jiayu (Kamessi) Zhao.

Major Revision in Operations Research.

Online Allocation of Throughput-Constrained Resources Using Proxy Assignments

Chamsi Hssaine, Huseyin Topaloglu, Garrett van Ryzin. 

Major Revision in Manufacturing & Service Operations Management.

Accepted for spotlight presentation at Durham Early Career Scholars Workshop.

Learning Fair and Effective Points-Based Rewards Programs

Chamsi Hssaine, Yichun Hu, Ciara Pike-Burke. 

Major Revision in Operations Research.

Accepted to NeurIPS 2025 MLxOR Workshop.

Preliminary version: EC'25.

The Data-Driven Censored Newsvendor Problem

Chamsi Hssaine, Sean Sinclair.

Major Revision in Management Science.

Accepted for spotlight presentation at Durham Early Career Scholars Workshop.

Online Fair Allocation of Perishable Resources

Siddhartha Banerjee, Chamsi Hssaine, Sean Sinclair.

Minor Revision in Operations Research. 

Preliminary version: SIGMETRICS'23.

Runner-up for the 2024 INFORMS Service Science Best DEIJ Paper Award. 

Price Competition Under a Consider-then-Choose Model with Lexicographic Choice

Siddhartha Banerjee, Chamsi Hssaine, Vijay Kamble. 

Minor Revision in Manufacturing & Service Operations Management. 

Journal Publications

Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations

Siddhartha Banerjee, Chamsi Hssaine, Qi Luo, Samitha Samaranayake. 

Transportation Science, 2024.

Fair Incentives for Repeated Engagement

Daniel Freund, Chamsi Hssaine. 

Production and Operations Management, 2024. 

Preliminary version: WINE'23.

Real-Time Approximate Routing for Smart Transit Systems

Siddhartha Banerjee, Chamsi Hssaine, Noémie Périvier, Samitha Samaranayake. 

ACM POMACS, 2021. 

Preliminary version: SIGMETRICS'21. 

Finalist for the 2021 INFORMS Minority Issues Forum Paper Competition.

Conference Publications

Information Signal Design for Incentivizing Team Formation

Siddhartha Banerjee, Chamsi Hssaine. Extended abstract in WINE'18.

Teaching

BUAD 311: Operations Management        Spring 2024-2026

DSO 677: Dynamic Optimization and Reinforcement Learning                                        Spring 2026