Divyarthi Mohan (she/her)
Divyarthi Mohan (she/her)
Boston University
Boston University
Faculty of Computing & Data Science
Faculty of Computing & Data Science
Email dm4192@columbia.edu
Email dm4192@columbia.edu
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Hi! I am Divyarthi Mohan (I also go by Divya). I am a Postdoctoral Fellow in the Department of Computer Science at Columbia University hosted by Prof. Tim Roughgarden. Previously, I was a Postdoctoral Fellow at Tel Aviv University hosted by Prof. Michal Feldman and at Boston University hosted by Prof. Kira Goldner. During Fall'22, I was a J.P. Morgan Research Fellow at the Simons Institute in Berkeley for the Graph Limits and Processes on Networks program.
I received my PhD in Computer Science from Princeton University, where I was fortunate to be advised by Prof. Matt Weinberg. During my PhD, I had the opportunity to work as a research intern at Microsoft and Google.
My research interest broadly lies at the intersection of Computer Science and Economics. I am primarily interested in Algorithmic Mechanism Design, Social Learning, and Strategic Communication. I am also interested in other areas of Theoretical Computer Science like Approximation Algorithms, Dynamic Algorithms, and Online Algorithms.
Previously, I obtained my MSc in Theoretical Computer Science from The Institute of Mathematical Sciences in Chennai, where I worked with Prof. Sayan Bhattacharya for my Master's thesis. Prior to that, I did my undergraduate studies in Mathematics at Indian Statistical Institute in Bangalore.
Selected Publications
Selected Publications
with Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Markus Mobius.
Innovations in Theoretical Computer Science (ITCS) 2024.
Featured in [popular press].
(NBER working paper version: Persuading with Anecdotes)
with Pravesh Kothari, Ariel Schvartzman, Sahil Singla, S. Matthew Weinberg.
Symposium on Foundations of Computer Science (FOCS) 2019.
Invited paper at Highlights of Algorithms Conference (HALG) 2020.
Awards & Fellowship
Awards & Fellowship
Highlights Beyond EC 2024
Simons-Berkeley Research Fellowship, Fall 2022
Siebel Scholarship, Class of 2021
School of Engineering and Applied Science Award for Excellence, 2019
Department of Computer Science - Graduate Student Teaching Award, 2018
Upcoming and Recent News
Upcoming and Recent News
I am currently on the job market!
[Jan 26]
I moved to NYC for a postdoc at Columbia!
[Sep 25]
Our paper Mechanism Design via the Interim Relaxation was accepted to NeurIPS 25!
I gave talks at the Harvard EconCS seminar and UMass Amherst Theory seminar on "Re-thinking information in mechanism design"
[Jul 25]
I co-organized a wikipedia edit-a-thon at EC'25.
[May 25]
Our paper on Online Combinatorial Allocation with Interdependent Values was accepted to EC 25!
[Apr 25]
I co-organized the inaugural BEACH Day, workshops from the Boston Econ&CS hub, on Behavioral Models in EconCS.
[Dec 24]
I gave a talk in the Algorithms Seminar at Google on our paper Optimal Stopping with Interdependent Values.
[Nov 24]
I'll be giving a TCS+ talk on our paper Optimal Stopping with Interdependent Values.
[Oct 24]
I will be at the INFORMS Annual meeting in Seattle. I am giving a talk on Optimal Stopping with Interdependent Values on Sunday 8am (session SA09).
I gave talks at the Rutgers Theory Lunch and BU Algorithms & Theory seminar on "Optimal Stopping with Interdependent Values".
[Sep 24]
I gave a talk at the Mechanism Design group meeting at Princeton "Optimal Stopping with Interdependent Values"
I moved to Boston for my postdoc at BU!
[Jul 24]
Our FOCS 24 paper on Constant Approximation for Private Interdependent Valuations will be featured at Highlights Beyond EC 2024!
Our paper on Asynchronous Majority Dynamics on Binomial Random Graphs was accepted to APPROX 24!
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