Eshan Chattopadhyay Height, Age, Family, Biography

Bio/Wiki
Profession	Associate Professor
Physical Stats
Height (approx.)	5' 5" (165 cm)
Eye Colour	Black
Hair Colour	Black
Career
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
Personal Life
Date of Birth	Year, 1989
Age (as of 2025)	36 Years
Nationality	Indian
Hometown	Ithaca, New York, United States
College/University	• Indian Institute of Technology, Kanpur • The University of Texas, Austin
Educational Qualification	• 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
Religion	Hinduism
Social Media	• Instagram • LinkedIn
Relationships & More
Marital Status	Married
Family
Wife/Spouse
Children	Daughter-1

Some Lesser Known Facts About Eshan Chattopadhyay

• In September 2016, he worked as a postdoctoral researcher at the Institute of Advanced Studies, Princeton. He worked there for 4 months.

Eshan Chattopadhyay’s still from a YouTube channel of Institute for Advanced Study

• In January 2017, he joined University of California, Berkeley as a postdoctoral researcher for 5 months.

• In June 2017, he worked as a Consulting Researcher at Microsoft office in Greater Bengaluru Area, for 3 months, where he did research in theoretical computer science and cryptography.

•  In September 2017, he joined the Institute of Advanced Studies, Princeton as a postdoctoral researcher.

• As of 2025, he works at Cornell University as an Associate Professor. He joined this university in 2018 as an assistant professor. His work focuses on pseudo randomness, extractors, and computational complexity, areas that support modern data security and efficient computation.

• In 2025, he won the Gödel Award in Theoretical Computer Science. He received this prestigious award for solving his groundbreaking solution to a decades-old problem in randomness extraction that puzzled researchers for almost 30 years.