## Divyarthi Mohan (she/her)

### Tel Aviv University

### School of Computer Science

### Email <firstname>m@tau.ac.il

Hi! I am Divyarthi Mohan (I also go by Divya). I am a Postdoctoral Fellow in the Department of Computer Science at Tel Aviv University hosted by Prof. Michal Feldman. 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.

## Upcoming and Recent News

I am currently on the job market!

[May 24]

I am co-organizing a tutorial at EC 2024 on Approximation Mechanisms with Interdependent Values.

[Dec 23]

I gave a talk at the GLPN Reunion Workshop at the Simons Institute on "Asynchronous Majority Dynamics in Binomial Random Graphs".

[Nov 23]

Our paper on Communication with Anecdotes was accepted to ITCS 2024!

[Oct 23]

I am co-organizing a Wikipedia edit-a-thon at FOCS. See here for more details on how to participate: https://sites.google.com/view/tcs-edit-a-thon

[Aug 23]

I am visiting SLMath (MSRI), Berkeley this Fall as a research member in the Market and Mechanism Design program.

[Jul 23]

Our paper on Constant Approximation for Private Interdependent Valuations was accepted to FOCS 2023!

I'll be giving a spotlight talk at the GIW at EC on "Constant Approximation for Private Interdependent Valuations", and will also be at the EC poster sessions.

[Jun 23]

I gave a talk at the HUJI EconCS Seminar on "Constant Approximation for Private Interdependent Valuations".

[May 23]

I gave a (virtual) talk at Northwestern University on "Constant Approximation for Private Interdependent Valuations".

[Mar 23]

I gave a talk at the Israel AGT day on "Constant Approximations for Auctions with Private Interdependent Valuations".

[Dec 22]

Presented our paper on Simple Mechanisms for Rich Ad Auctions at NeurIPS 2022 (poster)

[Oct 22]

Our paper on Interdependent Public Projects was accepted to SODA 2023!

I gave a talk at the Purdue CS Theory Seminar on our paper "Simple Mechanisms for Rich Ad Auctions"

I gave a talk at the INFORMS Annual Meeting on our paper "Communicating with Anecdotes"

I gave a talk at TTIC on "Simplicity and Optimality in Multi-Dimensional Mechanism Design" (papers: 1,2)

I gave a talk at the UIUC CS Theory Seminar on "Simplicity and Optimality in Multi-Dimensional Mechanism Design" (papers: 1,2)

[Sep 22]

Our paper on Simple Mechanisms for Rich Ad Auctions was accepted to NeurIPS 2022!

## Awards & Fellowship

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