Shyam Narayanan
Shyam Narayanan is a computer scientist and quantitative researcher. He earned a PhD in Computer Science from MIT (2019-2024) and an A.B. and A.M. in Mathematics & Statistics with a secondary in Computer Science from Harvard (2015-2019), after attending Blue Valley West High School. As a high-school student he was a member of the United States team at the 2015 International Mathematical Olympiad, where he won a gold medal (rank 26, 28 points), and he took part in the MIT PRIMES high-school research program. His research spans theoretical computer science and the theory of machine learning, including distribution testing, high-dimensional clustering, differential privacy, robust statistics, and learning quantum Hamiltonians, with a Google Scholar h-index of 18. His industry experience includes quantitative research internships at Citadel Securities (2023) and Jump Trading (2019), a trading internship at 5 Rings Capital (2017), and research internships at Google and Microsoft. LinkedIn profile data lists him as a Quantitative Researcher at Citadel Securities from 2024.
- Quant employment verification: CONFIRMED. The enrichment index lists actual quantitative roles and internships - Quantitative Researcher at Citadel Securities (2024-), Quantitative Research Intern at Citadel Securities (2023), Quantitative Research Intern at Jump Trading (2019), and Trading Intern at 5 Rings Capital (2017). Employer classification: Citadel Securities is a global market maker, Jump Trading is a proprietary/algorithmic trading firm, and 5 Rings Capital is a proprietary trading firm - all operate in quantitative finance. Identity is supported by the shared LinkedIn handle cross-linking the MIT CS PhD, Harvard degree and IMO-adjacent profile. Caveat: the role evidence is LinkedIn-profile-derived (the subject's own stated employment) and was not independently confirmed by a company or third-party source in this run.
- Index-derived (LinkedIn, not independent primary confirmation): Quantitative Researcher at Citadel Securities, Miami, from 2024, per the enrichment index; treat as the profile's own stated role pending a company-side source.Aug 2024
- Namesake disambiguation: the IMO competitor, the MIT/Harvard researcher, and the Citadel quantitative researcher share one identity through the LinkedIn handle shyamsnarayanan, which links MIT PhD CS, Harvard, Blue Valley West HS, Jump Trading and Citadel Securities - three independent registries agreeing.
- IMO 2015 gold medalist (United States team): contestant result page shows rank 26, 95.7 percentile, 28 points, award G.Jul 2015
- MIT PhD thesis 'Cluster Analysis in High Dimensions: Robustness, Privacy, and Beyond' (published 2024-05) completes his MIT Computer Science doctorate.May 2024
- Index-derived (LinkedIn): Quantitative Research Intern at Citadel Securities, Chicago, 2023.Jun 2023
- Index-derived (LinkedIn): Quantitative Research Intern at Jump Trading, Chicago, 2019, working on prediction algorithms for Hidden Markov Modeling.Jan 2019
- Index-derived (LinkedIn): Trading Intern at 5 Rings Capital, 2017, analyzing time series of market prices and developing mock-trading algorithms/strategies.Jun 2017
- arXiv author page lists a large body of papers in distribution testing, clustering, differential privacy and quantum Hamiltonian learning; ORCID 0000-0001-7601-1644.
- MIT PRIMES high-school research program alumnus (pre-college); his testimonial page describes competition background (MATHCOUNTS, USAMO) leading into number-theory research.2015
- Google Scholar profile reports 928 citations, h-index 18, i10-index 26.
- Index-derived (LinkedIn): research internships at Google (2021-2023) and Microsoft (2022), and Student Researcher at Harvard PRISE (2018, supervised by Jelani Nelson) - non-quant research roles.2018
Worked on creating efficient and practical prediction algorithms for Hidden Markov Modeling.
Summer research program done at Harvard, supervised by Professor Jelani Nelson and funded by Harvard's PRISE fellowship and the Herchel-Smith fellowship. Wrote two papers in probab
Analyzed time series of market prices and point estimates and developed/analyzed Mock Trading algorithms and strategies.
TA/Grader at Math Olympiad Summer Program (MOP), 2016 and 2019. Supervised students, graded MOP tests and TSTST exam.
Competition record
United States of America · IMO