Kritkorn Karntikoon
Kritkorn Karntikoon is a quantitative researcher at Graviton Research Capital in Singapore. He earned a PhD in Theoretical Computer Science from Princeton University (2019-2024), advised by Bernard Chazelle in the 'Natural Algorithms' area, and a Bachelor's in Mathematics and Computer Science from MIT (2015-2019). Earlier roles include a PhD software engineering internship at Uber (Courier Pricing, 2023), a student researcher position at Google (Geo Algorithms, 2022-2023), a Quantitative Researcher role at Tech Square Trading (2018), and a summer associate role at QuantCo (2017). He represented Thailand at the IMO in 2013 and 2014, was a 2015 USAMO winner, and is a Putnam fellow.
- Quant employment verification: CONFIRMED. Karntikoon has a documented actual quantitative-finance role: Quantitative Researcher at Graviton Research Capital LLP (Singapore, from 2024), a high-frequency trading/market-making firm per its own site, and an earlier Quantitative Researcher role at Tech Square Trading (2018). Employer classification: Graviton Research Capital = high-frequency proprietary trading (quant finance, confirmed by its own description); Tech Square Trading = trading firm (index-only, caller lead, not independently verified as an operating quant firm); QuantCo = data-science/analytics firm (not trading). Identity is supported: the Princeton theory alumni page independently lists his current affiliation as Graviton Research Capital and the LinkedIn profile is linked from the IMO/USAMO/Princeton record context. Distinction: these are employment/internship positions, not student programs; his Uber and Google roles were research/software internships and QuantCo a data-science summer associate role. Uncertainty retained: the Graviton start month (2024-08) and the Tech Square Trading employment are not corroborated outside the LinkedIn/index lead, so those specifics remain index-only.Sep 17, 2026
- Current title (per the LinkedIn index record) is Quantitative Researcher at Graviton Research Capital LLP, Singapore, dated 2024-present; labeled index-only, not independently confirmed beyond the Princeton alumni listing of current affiliation 'Graviton Research Capital'.Jan 1, 2024
- Graviton Research Capital is a high-frequency/market-making trading firm ('a high frequency trading firm ... in-house trade execution strategies ... ultra low latency trading platforms'), so the Graviton role is a genuine quantitative-finance position.Sep 17, 2026
- Princeton theory group's 2024 alumni page lists Karntikoon's current affiliation as Graviton Research Capital, independently corroborating the LinkedIn employer (though not the title or start month).May 9, 2024
- Quantitative Researcher at Tech Square Trading in 2018, per the LinkedIn index record (caller lead: 2018-01 to 2018-02).Jan 1, 2018
- PhD in Theoretical Computer Science from Princeton University (2019-2024), advised by Bernard Chazelle in the 'Natural Algorithms' area; undergraduate degree in Mathematics and Computer Science from MIT (2015-2019).May 9, 2024
- PhD Research Software Engineer Intern at Uber (Courier Pricing Team) in 2023, per the LinkedIn index record.Jan 1, 2023
- Student Researcher at Google (Geo Algorithms Team), Singapore, 2022-2023; the AISTATS 2024 paper states the work was done as a student researcher at Google in Summer 2022 and Summer 2023.Jun 1, 2022
- Full-time Summer Associate at QuantCo (Greater Boston Area) in 2017; QuantCo is a data-science/software firm, not a trading outfit.Jun 1, 2017
- Research at MIT CSAIL: UROP 'Fiat Crypto' (2017, PLV Group), SuperUROP 'Climate Networks and Ricci Curvature' (2017-2018, supervisor Stefanie Jegelka), UROP 'Grid Unfolding Orthogonal Polyhedra' (2018-2019, supervisor Erik Demaine).Jan 1, 2017
- 2015 USAMO winner while a student at Loomis Chaffee School (Windsor, CT), and a Putnam Competition Fellow (one of the six highest-ranking individuals), 2015.Apr 29, 2015
- Represented Thailand at the IMO in 2013 (rank 61, 28 pts, silver) and 2014 (rank 69, 27 pts, silver); later served as an IMO Coordinator.Jul 1, 2014
Courier Pricing Team · Designed a controller algorithm to optimize the courier offer price and improve its robustness · Analyzed and modeled relationship between controller's hyper
Geo Algorithms Team · Work on first passage percolation problem in a traffic networks setting · Devise a strategy to estimate the shortest path under information and capacity const
Courses: Advanced Algorithms Design (COS 521), Economics and Computation (COS 445), Computational Geometry (COS 451), Foundations of Engineering: Linear Systems (EGR 154) · Teach a
Supervised by Professor Erik Demaine · Designed an algorithm to edge-unfold convex orthogonal polyhedra · Developed software to analyze model system and find counterexamples as a b
· Developed predictive investment models using autoregressive integrated moving average (ARIMA) models · Compared the new models with benchmark using various statistical methods
MIT Machine Learning Group · Represented climate correlations between distant places on earth using graph theory · Improved runtime complexity of the algorithm for computing Ricci
· Developed algorithms in Python and performed statistical analysis on clickstream data for product classification · Detected and sorted new products into the community of existing
MIT Programming Languages & Verification Group · Synthesized a cryptographic code (Poly1305-AES message-authentication) in Coq proof assistant · Certified the code’s correctness an
Competition record
Thailand · IMO