CV
Education


- B.A., M.Eng. in Information Engineering, University of Oxford (2014 to 2018)
- Grade: First Class Honours, St John’s College Casbard Scholarship
- Machine Learning Research at Oxford-Man Institute of Quantitative Finance
- Bayesian Inference, Gaussian Process Modelling of Geospatial Time Series
- Non-convex Hyperparameter Optimisation via Numerical Integration
- Finance Coursework at Oxford Saïd Business School
- Engineering, Entrepreneurship and Management Pathway, Oxford Finance Lab
Professional Experience
- Senior Data Scientist (AI/ML Quantitative Research) at Kronos Research, Singapore (May 2025 to Present)
- Founder, Applied AI at Diametric Labs, Singapore (November 2024 to Present)
- Quantitative Researcher at Brevan Howard Asset Management LLP., Geneva, Switzerland (August 2023 to October 2024)
- Data Scientist at Meta, London, United Kingdom (January 2022 to August 2023)
- Quantitative Researcher at Dymon Asia Capital, Singapore (April 2021 to December 2021)
- Data Scientist at Grab, Singapore (January 2019 to April 2021)
- Real Estate Investments Intern at GIC, London, United Kingdom (June 2017 to August 2017)
- Operations Intern at Entrepreneur First, Singapore (June 2016 to September 2016)
Computing and Frameworks
- Programming Languages: Python, C++, R, SQL, MATLAB
- Platforms and Tools: Presto, Hive, GCP/AWS, Bloomberg BQuant, Tableau
- ML/DL Toolkit: Scikit-Learn, SciPy, Tensorflow, Jax/Flax, ONNX Runtime, Optax, PyTorch
- Modelling: Traditional ML, Deep Learning, Time Series Analysis, Bayesian Inference, NLP, Foundation Models