Yash Kanoria

Associate Professor of Business in the Decision, Risk and Operations division at Columbia Business School

Schools

  • Columbia Business School

Expertise

Links

Biography

Columbia Business School

Biography

Yash Kanoria is an Associate Professor of Business in the Decision, Risk and Operations division at Columbia Business School, working primarily on matching markets and the design and operations of marketplaces. Previously, he obtained a BTech from IIT Bombay in 2007, a PhD in Electrical Engineering from Stanford in 2012, and spent a year at Microsoft Research New England during 2012-13 as a Schramm postdoctoral fellow. He received an NSF CAREER Award in 2017, a Simons-Berkeley Research Fellowship in 2015 and an INFORMS JFIG paper competition second prize in 2014.

Teaching

Fall 2017

Business Analytics (MBA)

### Spring 2017

Business Analytics (MBA)
Marketplace Design (PHD)

Spring 2016

Business Analytics (MBA)

### Spring 2015

Business Analytics (MBA)

### Fall 2014

(PhD) Computing For Business Research (PHD)

### Fall 2013

(PhD) Computing For Business Research (PHD)

## Research

Working papers

Communication Requirements and Informative Signaling in Matching Markets (2017)
Coauthor(s): Itai Ashlagi, Mark Braverman, Yash Kanoria, Peng Shi

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Dynamic Matching in School Choice: Efficient Seat Reallocation After Late Cancellations (2017)
Coauthor(s): Itai Feigenbaum, Yash Kanoria, Irene Lo, Jay Sethuraman

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Facilitating the Search for Partners on Matching Platforms: Restricting Agent Actions (2017)
Coauthor(s): Yash Kanoria, Daniela Saban

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Matching while Learning (2017)
Coauthor(s): Ramesh Johari, Vijay Kamble, Yash Kanoria

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Managing Congestion in Dynamic Matching Markets (2015)
Coauthor(s): Nicholas Arnosti, Ramesh Johari, Yash Kanoria

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Unbalanced Random Matching Markets (2014)
Coauthor(s): Yash Kanoria

More Information

Ideas and Insights

Can’t Meet Anyone Online? It''s not all your Fault. (2015)

In The News

Press Releases

Columbia Business School Professor Yash Kanoria Receives Prestigious 2017 National Science Foundation CAREER Award

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