Grace Yuan

Grace Yuan is a mathematics and AI undergraduate at MIT (double major in Mathematics and AI & Decision-Making, concurrent MEng in EECS, expected 2027) and an international mathematical olympiad medalist for Australia (IMO 2022 Honourable Mention and Maryam Mirzakhani Prize; EGMO 2022 Gold, 6th globally). She has held research internships at Harvard Medical School (Rajpurkar Lab, first-author paper accepted at the EACL 2026 HeaLing Workshop), MIT-IBM Watson AI Lab/CSAIL (Torralba Lab), a SERC Research Scholar role at MIT Schwarzman College of Computing, an AI/ML internship at Microsoft (Redmond), and an ML internship at Far Eastern Group (Taiwan). She is scheduled to join Tower Research Capital in New York as a Quant Trading Intern in summer 2026.

Notes11

• Quant employment verification: CONFIRMED. Grace Yuan's personal site (graceyc.github.io) and her MIT-hosted CV state she will join Tower Research Capital in New York as a Quant Trading Intern in summer 2026, and her LinkedIn-derived index entry lists 'Quantitative Trader Intern, Tower Research Capital, New York, 2026-present, is_current=true'. Tower Research Capital is a quantitative proprietary trading firm (tower-research.com: 'a home for the world's best quantitative trading teams'; Wikipedia and LinkedIn describe it as an American quantitative/proprietary trading firm specializing in high-frequency and systematic strategies), so the employer classification as quantitative finance holds. The identity is supported: IMO 2022 Australia, EGMO 2022 Gold, MIT '27, and the LinkedIn URL cross-links from her personal site. Caveat: this is an UPCOMING/current internship rather than a completed professional role, and the only dated employment evidence is her own self-published site/CV (primary source authored by the subject) plus a LinkedIn-derived aggregator record; no independent third-party confirmation of the Tower role was found. The Citadel ('Discover Citadel | Citadel Securities', Apr 2024) and Jane Street ('First-Year Trading and Technology Program', Mar 2024) entries are student programs/events, not employment, and are excluded from the CONFIRMED qualification.Sep 17, 2026
• Tower Research Capital is a quantitative proprietary trading firm founded in 1998, headquartered in New York, focused on high-frequency and systematic trading across global markets.Sep 17, 2026
• First author on 'Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?' accepted as an oral at the EACL 2026 HeaLing Workshop; work done as a research intern in the Rajpurkar Lab at Harvard Medical School (Sep 2025-present), combining o4-mini, Gemini and Claude and reaching SOTA on RareBench/DiagnosisArena.Jan 1, 2026
• IMO 2022: Grace Yuan received an Honourable Mention and the Maryam Mirzakhani Prize (best female in Oceania) as the only female member of the Australian team, then a Year 12 student at Methodist Ladies' College, Melbourne.Jul 16, 2022
• Education: MIT, B.S. in Mathematics and AI & Decision-Making (double major, Course 18 & 6-4) with a concurrent MEng in EECS, expected May 2027, GPA 5.0/5.0; previously IB Diploma at Methodist Ladies' College, Melbourne.Sep 17, 2026
• AI/ML Intern at Microsoft (Redmond, WA), May-Aug 2025: built a multilingual multiclass embedding-based classifier with dynamic k-means clustering, improving recall 20% and F1 13% over the English-only baseline, and a diagnostic AI agent for automated root-cause analysis.Aug 31, 2025
• Discover Citadel | Citadel Securities (recorded Apr 2024) is a selective two-day immersive event for undergraduates, not an internship or job; Citadel (a hedge fund/market maker) and Citadel Securities (a market maker) run it as a recruiting/insight program.Apr 1, 2024
• Jane Street's 'First-Year Trading and Technology Program' (FTTP, recorded Mar 2024) is an introductory program for first-year undergraduates at the quantitative trading firm Jane Street; it is a student program, not employment.Mar 1, 2024
• EGMO 2022: Gold Medal, ranked 6th globally, representing Australia.Apr 1, 2022
• Research intern at IBM Research & MIT-IBM Watson AI Lab / MIT CSAIL (Torralba Lab) from Feb 2025, investigating the internal mechanisms of LLMs and visualizing internal representations.Feb 1, 2025
• SERC Research Scholar at MIT Schwarzman College of Computing (Sep 2024-May 2025): led research on social bias in LLM-driven tabular classification for high-stakes sectors including finance, healthcare and hiring, analyzing Llama and DeepSeek.Sep 1, 2024
• ML Intern at Far Eastern Group (Taiwan), Jun-Aug 2024: developed ML/DL models to optimize energy efficiency in LNG dual-fuel bulk carriers, processing 3,000+ features.Aug 31, 2024