Jimmy Trinh Tran

Jimmy is a research data analyst with 5 years of experience applying statistical and machine learning methods to physiological and occupational health data, currently completing an M.S. in Computer Science (AI Specialisation) at Georgia Tech. At NUS's Human Potential Translational Research Programme, he has built predictive models — from Random Forest heat-stress classifiers to survival analysis of exhaustion risk — for vulnerable and high-strain populations, including construction and factory workers, delivery riders, and firefighters, with work published in Scientific Reports (Nature) and presented at international ergonomics conferences. Jimmy brings this rigour in translating physiological and behavioural signals into actionable, evidence-based guidance to RTIA, helping ground the assistant's recommendations in careful, validated modelling of real-world human strain and wellbeing.

Bachelor of Biomedical Engineering

ASEAN Undergraduate Scholarship, National University of Singapore (2015–2019) A*STAR Scholarship, Singapore Government (2011–2014) First Prize, NUS CoDesign Competition (2023) Director's Award for Biomedical Design Project, NUS (2018)