[CV]   [Research Statement]   [Teaching Statement]   [Diversity Statement]  

[August 1-6, 2020] - I am excited to be organizing a session on "Advances in resource allocation for epidemic control: estimation, optimization, and counterfactuals" at the Joint Statistical Meetings (JSM) in Philadelphia.

[March 5-6, 2020] - I will also be attending the Harvard CRCS Workshop on AI for Social Impact in Cambridge.
In my postdoctoral work, I have used optimal control and game theory to study dynamic interventions in networks. I am now focused on developing mathematical decisionmaking tools for epidemic control and policy-making.

In my PhD thesis (supervised by Saswati Sarkar and Santosh Venkatesh), I showed how more granular data can drastically change optimal epidemic policies & responses.


  • October '19 - I attended the INFORMS Annual Meeting in Seattle, WA, where I am available for interviews. I presented our work on contact-tracing, as well as an overview of my research program.
  • July '19 - I presented our paper on energy-efficient multilayer backbones and co-chaired a session at the IEEE American Control Conference (ACC '19) in dear old Philadelphia, PA!
  • June '19 - I presented a YINS summer seminar on efficient policies for contact-tracing.
  • April '19 - Our paper on influence maximization under uncertainty was presented at CAOS '19, a satellite of Infocom '19, in Paris, France.


2016- Yale University
2015-16 Cornell University
2011-15 University of Pennsylvania
2014 NEC Labs America


2015 PhD University of Pennsylvania
2013 MSc University of Pennsylvania
2010 BSc Sharif University of Technology

Selected Awards

2017 3rd Place DataHack@Yale
2015 Runner Up Fels National Public Policy Challenge
2015 Winner Penn Public Policy Challenge
2010 PhD Research Fellowship University of Pennsylvania
2006 1st /600,000 Iran Azad university entrance exam (Math-Physics)
2006 1st /250,000
15th /400,000
Iran national university entrance exam (Foreign Languages / Math-Physics)