Justin Lim Kai Ze

Justin Lim Kai Ze is a quantitative researcher in Citadel's Global Quantitative Strategies (GQS) group in Chicago. He represented Malaysia at the International Olympiad in Informatics (IOI) 2015, winning a bronze medal (rank 126/322), and returned to IOI 2016 as Malaysia's deputy leader. He studied at MIT, earning a BS in Mathematics and Computer Science (2016-2020) and an MEng in Computer Science (2020-2021). His research work spans MIT CSAIL / the Clinical Machine Learning group on machine learning for insurance and clinical prediction, and the Broad Institute on bioinformatics tooling. Before joining Citadel full time he interned at Jump Trading (quantitative research, 2019) and The D. E. Shaw Group (trader, 2018).

Notes7

• Quant employment verification: CONFIRMED. Justin Lim Kai Ze (LinkedIn justinlimkz, IOI 2015 Malaysia) held real quantitative-finance roles and internships, not merely student programs: Quantitative Research Analyst at Citadel (2021-2025) and Quantitative Researcher at Citadel, Global Quantitative Strategies (2025-present); Quantitative Research Intern at Jump Trading LLC (2019); and Trader Intern at The D. E. Shaw Group (2018). Citadel is a hedge fund, Jump Trading is a proprietary trading/market-making firm, and D. E. Shaw Group is a hedge fund -- all operate in quantitative/systematic finance, so no employer rests on a name containing 'quant'. Caveat: the role history is sourced from the LinkedIn profile record (index-backed), which the subject published but which is not independent primary-source confirmation; identity is corroborated across the IOI record, MIT/clinicalml research pages, and GitHub.
• At Citadel's Global Quantitative Strategies (GQS) he progressed from Quantitative Research Analyst (2021-2025, Chicago) to Quantitative Researcher (2025-present), a four-year internal progression before promotion.Jan 2025
• Quantitative Research Intern at Jump Trading LLC (Chicago, 2019), building models to predict futures prices and short-term lead-lag relationships between fragments of U.S. equity markets -- an actual internship at a market-making/prop-trading firm, not a student event.Jun 2019
• Trader Intern at The D. E. Shaw Group (New York, 2018), modeling short-term interest rates in several countries using macroeconomic indicators -- an actual internship at a quantitative hedge fund.Jun 2018
• Won a bronze medal for Malaysia at IOI 2015, scoring 248.45 (relative 41.41%), ranked 126 of 322 contestants, with a perfect 100 on the 'sorting' task -- the only full task score in his set.Jul 2015
• Research Assistant at MIT CSAIL / Clinical Machine Learning group (2019-2021, with David Sontag's group), managing a research collaboration with a large insurance company that produced multiple joint publications and handling ETL of large observational datasets.Sep 2019
• MIT education: Bachelor of Science in Mathematics and Computer Science (2016-2020) followed by a Master of Engineering in Computer Science (2020-2021).
• Co-authored the paper 'Automated Machine Learning in Insurance', reflecting the CSAIL insurance collaboration, connecting his ML research to an actuarial/insurance domain.Aug 2024
• Returned to IOI 2016 as Malaysia's deputy leader (delegation member), a coaching/official role rather than a competitor one, one year after competing.Aug 2016
• Research Assistant at the Broad Institute of MIT and Harvard (2016-2017), building 'gene-tools', a Python tool for deterministic protein-gene mapping across multiple gene nomenclatures later integrated into Genoppi; his GitHub account justinlimkz mirrors this work (gene-tools, omop-learn-aou), corroborating the account identity.Jun 2016
• Public GitHub account is github.com/justinlimkz, verified by its repositories (gene-tools, omop-learn-aou) matching his Broad Institute and CSAIL/OMOP research work rather than by name match alone.
• Teaching Assistant for MIT 6.036 (Introduction to Machine Learning) in 2020, running four weekly recitation sections of ~10 students and averaging a 6.7/7 rating.Feb 2020