Akshit Kumar
I am an Assistant Professor of Operations Management in the Department of Management at the University of Toronto Scarborough, and I am cross-appointed to the Operations Management and Statistics area at the Rotman School of Management.
My research centers on the operations of online platforms and marketplaces, with a particular focus on AI agents, recommendation systems, and dynamic matching. I study, both theoretically and empirically, how AI systems affect digital marketplaces.
Before joining the University of Toronto, I was a postdoctoral researcher at the Center for Algorithms, Data, and Market Design at Yale University. I received my PhD in Operations Management from Columbia Business School, and hold a Master's degree from the University of Michigan and a B.Tech from the Indian Institute of Technology Madras in Electrical Engineering.
News
Journal Publications
Yilun Chen, Yash Kanoria, , Wenxin Zhang
Operations Research 74(2):788-803
EC 2023 | ACM Conference on Economics and Computation
ssrn slidesposternick arnosti's blog post
awards
First Place, 2024 Jeff McGill RMP Best Student Paper Prize
Omar Besbes, Yash Kanoria,
Operations Research 73(3):1273-1288
EC 2022 | ACM Conference on Economics and Computation
arXivslides poster flash talk EC talk
awards
selected presentations
Finalist, 2023 INFORMS George Nicholson Student Paper Competition
Finalist, 2023 Jeff McGill RMP Best Student Paper Prize
Operations Rookiepalooza, Kellogg School of Management, 2024
Cornell Young Research Workshop, 2024
Management Science and Engineering (MS&E) Rising Stars Workshop, 2024
Fulfillment Optimization Research Series, Amazon, 2023
Working Papers
, Vahideh Manshadi, Akhilesh Tumu
Journal Version Under Preparation
EC 2026 | ACM Conference on Economics and Computation
ssrn
selected presentations
Big.AI MIT 2026 | Business Implications of Generative AI at MIT
Omar Besbes, Yash Kanoria,
Journal Version Under Preparation
EC 2025 | ACM Conference on Economics and Computation
arXivslides poster
selected presentations
Conference Proceedings
Amine Allouah, Omar Besbes, Josue Figueroa, Yash Kanoria,
WWW 2026 | ACM Web Conference
arXivssrnwebsitedashboardcodedataslidesposter
selected presentations
ESIF AI+ML 2026 | Econometric Society Interdisciplinary Frontier Economics and AI+ML Meeting
WISE 2025 | Workshop on Information Systems and Economics
MIT CODE 2025 | Conference on Digital Experimentation at MIT
Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice
, Tianyi Peng, Yuhang Wu, Assaf Zeevi
WSC 2025 | Winter Simulation Conference
arXiv
Omar Besbes, Yash Kanoria,
RecSys 2024 | ACM Conference on Recommender Systems
arXivslidesposter RecSys talk yash kanoria's blog postai generated podcast summary
selected presentations
Breaking the Unit Throughput Barrier in Random Access Protocol Based Distributed Systems
, Parikshit Hegde, Rahul Vaze, Amira Alloum, Cédric Adjih
NCC 2023 | National Conference on Communications
ieee
arXiv
Aditya Jain, Zerina Kapetanovic, , Vasuki Narasimha Swamy, Rohit Patil, Deepak Vasisht, Rahul Sharma, Manohar Swaminathan, Ranveer Chandra, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Uttama Nambi SN
COMPASS'19 | ACM SIGCAS Conference on Computing and Sustainable Societies
Speed scaling under QoS constraints with finite buffer
Parikshit Hegde, , Rahul Vaze
WiOpt'18 | International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks