Thuy-Duong Vuong

Thuy-Duong "June" Vuong is an Assistant Professor in the Department of Computer Science and Engineering at UC San Diego, working in theoretical computer science with a focus on algorithms for sampling from high-dimensional distributions and Markov chain analysis. She was a Silver medalist for Vietnam at the 2014 International Mathematical Olympiad, then earned a double BS in Mathematics and Computer Science at MIT (2015-2019) and a PhD in Computer Science at Stanford (2019-2024, advised by Nima Anari and Moses Charikar). She was a Miller Institute postdoctoral fellow at UC Berkeley (2024-2025) before joining UCSD. Her published record spans STOC, FOCS, COLT, ICLR and AISTATS. Her only quantitative-finance role was a 2018 Quant Researcher Internship at Tech Square Trading in the Boston area.

Notes7

• Quant employment verification: CONFIRMED. Thuy-Duong Vuong held a Quant Researcher Intern role at Tech Square Trading, Greater Boston Area, 2018, alongside MIT undergraduate study; the role is listed on her LinkedIn profile (surfaced via the person index, not an independent primary source). Tech Square Trading LP is independently classified as a quantitative trading/hedge-fund firm (Cambridge/Boston MA, founded 2012, AUM ~$1.12B per Hedge Fund Contacts; ~$195M per RIA Intel), and other employees carry quant-research and electronic-trading titles, so the employer genuinely operates in quantitative finance rather than merely carrying 'quant' in its name. No other quant-finance role or internship appears in her record, and none of her other internships (Applied Predictive Technologies 2017) is quantitative finance.2018
• Assistant Professor in UC San Diego's Department of Computer Science and Engineering; her own site lists the role and the Jacobs School announced her among new faculty, while LinkedIn dates the start to Nov 2025 - the site's '2026-Present' vs LinkedIn's 'Nov 2025' is a minor start-date discrepancy, not an employment conflict.Nov 2025
• Silver medalist for Vietnam at the 55th International Mathematical Olympiad (2014, Cape Town), scoring 22/124 (78%); this matches the official IMO individual record for 'Thùy Dương Vương Nguyễn', confirming the olympiad identity used as the anchor for this profile.Jul 2014
• PhD thesis 'Towards optimal sampling algorithms' (Stanford, July 2024), co-advised by Nima Anari and Moses Charikar; the thesis title itself marks the shift of her published work from combinatorics into sampling/algorithm design.Jul 2024
• Publication record spans STOC 2021/2024/2026, FOCS, COLT 2024/2025, ICLR 2024 and AISTATS 2026 (spotlight), mostly co-authored with Nima Anari, Frederic Koehler and Moses Charikar; repeated top-theory venues with the same Stanford/Berkeley co-author cluster indicate an established theory group network rather than isolated papers.2026
• Postdoctoral Fellow at the Miller Institute for Basic Research in Science, UC Berkeley (2024-2025), hosted by Alistair Sinclair, immediately before joining UC San Diego; a Miller Institute fellowship is a competitive postdoc, indicating the Berkeley year was a research-funded postdoc rather than a lectureship.2024
• Received MIT's Anna Pogosyants UROP Award (2019) for the project 'Graph Pattern Detection: Hardness for All Induced Patterns and Faster Non-induced Patterns', an undergraduate research award that corroborates the MIT BS and the theoretical-computer-science trajectory before her PhD.May 23, 2019
• Public research interests are algorithms for sampling and Markov-chain analysis within theoretical computer science; the switch from 'algorithms for sampling' to applied distribution-learning venues (ICLR, COLT, AISTATS) across 2024-2026 signals a broadening from pure theory toward ML-adjacent sampling.2026
• Public academic email is [contact omitted], published on both her personal site and the UCSD faculty directory.2026
• Earned a double Bachelor of Science in Mathematics and in Computer Science at MIT (2015-2019) with a 4.9/5.0 GPA, then went straight into the Stanford CS PhD (2019); no gap year or industry stint sits between degrees.Jun 2019
• Software Engineer Intern at Applied Predictive Technologies (2017, Arlington VA) building a C#/R model to predict credit-card campaign retention; APT is an enterprise analytics firm, not a quantitative-finance employer, so this internship does not count toward quant employment.2017
• Her CV publishes a phone number, (617) 909 0603, a US-region number consistent with her long Boston/Cambridge residence (MIT) before California.2026