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Mihir Singhal

PhD student in theoretical computer science at UC Berkeley
United States · academic
Gold Medal, 2018 International Mathematical Olympiad (USA Team, Team Placed 1st)

Theoretical computer science PhD student at UC Berkeley (Berkeley EECS) working on algorithms, complexity and learning theory. MIT SB in Mathematics (2022) and MEng in Computer Science (2023). Gold medalist on the first-place 2018 U.S. IMO team. Industry experience includes a 2022 Quantitative Research Internship at Jane Street; other past roles at VMware, Whiterabbit.ai and the University of Minnesota Duluth.

Mihir Singhal is a fourth-year PhD student in theoretical computer science in the UC Berkeley EECS department. He earned a Bachelor's degree in Mathematics (2018-2022) and an MEng in Computer Science (2022-2023) from MIT, and attended Palo Alto High School. As a high school student he was a gold medalist on the 2018 U.S. International Mathematical Olympiad team, which placed first, and tied for first individually at the 2018 Romanian Master of Mathematics. His research spans theoretical computer science, including work on multicalibration, data structures and algorithms, and quantum state tomography.

Details
LocationUnited States
UniversityUniversity of California, Berkeley
Notes
  • Quant employment verification: CONFIRMED. A quantitative research internship at Jane Street (New York), summer 2022, is listed on his LinkedIn profile and returned by the person-profile index; the role description states he "[l]earned about trading and financial markets through classes and simulations, and worked on two projects regarding modeling the markets and valuing stocks." Jane Street is a quantitative trading firm (proprietary trading / market making), so the employer operates in quantitative finance; the role is a past internship, not a student program. Identity is supported by the LinkedIn profile matching his education (MIT, UC Berkeley) and by the same internship appearing consistently across index enrichment. No other quant-finance employer is evidenced in public sources; VMware (research intern), Whiterabbit.ai (ML research), and University of Minnesota Duluth (combinatorics research) are not quantitative-finance employers.Jun 2022
  • Quant employment verification: CONFIRMED. A quantitative research internship at Jane Street (New York), summer 2022, is listed on his LinkedIn profile and returned by the person-profile index; the role description states he "[l]earned about trading and financial markets through classes and simulations, and worked on two projects regarding modeling the markets and valuing stocks." Jane Street is a quantitative trading firm (proprietary trading / market making), so the employer operates in quantitative finance; the role is a past internship, not a student program. Identity is supported by the LinkedIn profile matching his education (MIT, UC Berkeley) and by the same internship appearing consistently across index enrichment. No other quant-finance employer is evidenced in public sources; VMware (research intern), Whiterabbit.ai (ML research), and University of Minnesota Duluth (combinatorics research) are not quantitative-finance employers.
  • Index-only claim: the Jane Street and other role entries here come from a people/company index and LinkedIn enrichment, not from independently read primary pages; treat the Jane Street internship as index-sourced until a primary page is read.Jan 2026
  • Education timeline: Palo Alto High School (2014-2018), MIT SB in Mathematics (2018-2022), MIT MEng in Computer Science (2022-2023), and a PhD in theoretical computer science at UC Berkeley (2023-).2023
  • Olympiad identity confirmed against primary sources: he was a gold medalist on the 2018 U.S. IMO team, which took first place (CMU news, July 12 2018); the Paly Voice (Palo Alto High School paper) reported him as a senior who tied for first individually at the Romanian Master of Mathematics.Jul 12, 2018

Competition record

United States of America · IMO

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