Eshan Chattopadhyay

Associate Professor

Indian Ithaca, New York, United States

Quick Info

ProfessionAssociate Professor
NationalityIndian
BirthplaceIthaca, New York, United States

Latest News about Eshan Chattopadhyay

17/06/2025

Eshan Chattopadhyay, Associate Professor of Computer Science at Cornell University, won the 2025 Gödel Prize jointly with his PhD mentor David Zuckerman for their groundbreaking 2016 paper 'Explicit Two-Source Extractors and Resilient Functions.' The award recognizes their solution to a nearly 30-year-old problem in randomness extraction, demonstrating how to generate high-quality randomness from two weak sources of randomness. The paper, which won Best Paper at STOC 2016 and was published in Annals of Mathematics in 2019, has significant implications for cryptography, secure communications, and data compression.

2025

Eshan Chattopadhyay received the Young Alumni Award 2025 from IIT Kanpur in recognition of his stellar contributions to secure computing, foundations of cryptography, and theoretical computer science.

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Physical Stats & More

Height5' 5" (165 cm)
Eye ColorBlack
Hair ColorBlack

Educational Qualification(s)

Degrees
  • Bachelor's of Technology Degree in Computer Science from Indian Institute of Technology, Kanpur
  • Doctor of Philosophy in Computer Science from The University of Texas, Austin
  • Bachelor's of Technology in Computer Science from Indian Institute of Technology, Kanpur (2011)

Personal Life

Marital StatusMarried
ReligionHinduism

Relationships & More

ChildrenThree children

Family

ChildrenThree children

Career

Current PositionAssociate Professor (with tenure) in the Department of Computer Science at Cornell University since 2018
Previous Roles
  • Postdoctoral researcher at the Institute of Advanced Studies, Princeton for 4 months in 2016
  • Postdoctoral researcher at the University of California, Berkeley for 5 months in 2017
  • Consulting Researcher at Microsoft in Greater Bengaluru Area for 3 months in 2017
  • Joined the Institute of Advanced Studies, Princeton as a postdoctoral researcher in 2017
  • Postdoctoral researcher at the Institute for Advanced Study, Princeton (2016-2017)
  • Postdoctoral researcher at the Simons Institute for the Theory of Computing, UC Berkeley (2017-2018)
Research FocusTheoretical computer science with emphasis on pseudorandomness, extractors, computational complexity theory, the role of randomness in computation, and cryptography. His work is critical for modern data security and efficient computation.
Awards
  • 2021: NSF Computer and Information Science and Engineering Research Initiation Initiative Award
  • 2023: Sloan Research Fellowship
  • 2024: National Academy of Sciences Held prize
  • 2025: The Godel Prize for his Research Paper
  • 2019: NSF Computer and Information Science and Engineering Research Initiation Initiative Award
  • 2021: NSF CAREER Award
  • 2016: Best Paper Award at STOC
  • 2019: Paper published in Annals of Mathematics
  • 2025: Gödel Prize (jointly awarded by EATCS and ACM SIGACT)
  • 2025: Young Alumni Award from IIT Kanpur
Notable AchievementWon the 2025 Gödel Prize for the paper 'Explicit Two-Source Extractors and Resilient Functions' (co-authored with David Zuckerman), which solved a nearly 30-year-old problem in randomness extraction by constructing a two-source extractor that generates high-quality randomness from weak sources.

Some Lesser Known Facts

1. In 2016, he conducted research as a postdoctoral researcher at the Institute of Advanced Studies, Princeton for a duration of 4 months.
2. He transitioned to the University of California, Berkeley as a postdoctoral researcher in January 2017.
3. In June 2017, he was a Consulting Researcher at Microsoft's office in Greater Bengaluru Area, where he focused on theoretical computer science and cryptography for 3 months.
4. Demonstrating a progressive career, he joined Cornell University as an Assistant Professor in 2018.
5. His hobbies include traveling and playing cricket.
6. He was promoted to Associate Professor in 2024.
7. His research on randomness extraction has applications in cryptography, secure communications, and data compression.
8. He completed his postdoctoral work at two prestigious institutions: the Institute for Advanced Study in Princeton and the Simons Institute for the Theory of Computing at UC Berkeley, before joining Cornell University.
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