I study statistics at the University of Warwick, with a particular interest in computational statistics, covering Bayesian inference, state-space models and Monte Carlo methods. Currently, I am completing my dissertation on the topic 'High Performance Sequential Quasi Monte Carlo', supervised by Adrien Corenflos.
I love practical software and statistics. I enjoy building models for real-world problems, more relevantly in the financial markets.
I spend a fair amount of time outdoors. It's either hiking (check out my adventures on my Notion) or running. I am currently chasing a sub-3 hour marathon, with my closest being 3:12 in April 2026 at Stratford-upon-Avon.
MSc in Statistics
Coventry, United Kingdom
Developed an interest in state-space models, Monte Carlo methods and sequential Monte Carlo. Currently working on a dissertation on 'High Performance Sequential Quasi Monte Carlo' supervised by Adrien Corenflos, where I am developing state-space inference models in the open-source cuthbert library using JAX.
Quant Intern
Singapore
Researched options and futures systematic strategies.
BSc Business Analytics with Honours (Distinction)
Singapore
Graduated from NUS!
Data Analyst Intern
Amsterdam, The Netherlands
Developed systematic signals for discretionary trading desks; discovered Hyperliquid and farmed airdrops; learnt about venture capital in digital assets (and modular infrastructure). A fascinating experience living in Amsterdam and working with a talented team of traders and analysts.
Data Analyst Intern · NUS Overseas College Programme
Toronto, Canada
Joined Stablecorp as part of the NUS Overseas College Programme. Developed tools and dashboards for on-chain data analysis and credit risk models for lending protocols. First experience living abroad and working in a startup environment. Learned that I really loved the outdoors!
I also wrote an article about DeFi exploits and recoveries.
I4.0 Analyst Intern
Singapore
My first internship was at Micron, part of the Smart Manufacturing and AI (SMAI) team. Grew up learning about semiconductors and finally had the opportunity to learn what powered the devices that we were using. Developed validation algorithms to monitor data quality and detect anomalies in the manufacturing process.