[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.
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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.
2016- | Yale University | Postdoctoral Associate | 2015-16 | Cornell University | Postdoctoral Associate |
2011-15 | University of Pennsylvania | Graduate Research Associate |
2014 | NEC Labs America | Summer Intern |
2015 | PhD | Electrical & Systems Engineering | University of Pennsylvania |
2013 | MSc | Electrical Engineering | University of Pennsylvania |
2010 | BSc | Electrical Engineering | Sharif University of Technology |
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) |