Research Assistant Professor, Toyota Technological Institute—Chicago (TTIC) September 2022—present
IDEAL Institute Postdoctoral Scholar, Toyota Technological Institute—Chicago (TTIC)
Hosts: Yury Makarychev and Nathan Srebro
September 2020—September 2022
Postdoctoral Researcher, CS Department, University of Wisconsin—Madison
Host: Ilias Diakonikolas
September 2019—September 2020
Ph.D., EECS Department, MIT
Advisors: Erik Demaine and Piotr Indyk
M.S., CS Department, University of Illinois at Urbana-Champaign (UIUC)
Advisor: Chandra Chekuri
B.S., CE Department, Sharif University
Internship at TTIC:We are hosting summer interns. If you are interested, apply here.
Research Interests
Learning-Based/Data Driven Algorithms
Algorithmic Fairness
Design and Analysis of Algorithms for Massive Data
Approximation Algorithms, Combinatorial Optimization, and Graph Algorithms
Which Concepts are Worth
Extracting?
Arash Termehchy, Ali Vakilian, Yodsawalai Chodpathumwan, Marianne Winslett.
SIGMOD 2014. Also in Transactions on Database Systems (TODS) 2015.
University of Wisconsin—Madison, IFDS; June 10, 2021
Approximation Algorithms for Fair Clustering
Google Research; April 15, 2021.
University of Illinois at Urbana-Champaign Theory Seminar; April 19, 2021.
University of Washington Theory Seminar; April 20, 2021.
Joint Purdue University and University of Michigan Theory Seminar; April 23 2021.
TOC4Fairness Seminar; April 28, 2021.
MIT A&C Seminar; May 10, 2021.
UC San Diego Theory Seminar; May 17, 2021.
UWaterloo, C&O Department; May 17, 2021.
Learning-based Algorithms For Massive Data
INFORMS Annual Meeting; November 10, 2020.
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