CV

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

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)
Investment Banking Summer Analyst at Credit Suisse, Singapore (June 2018 to August 2018)
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)

Programming Languages: Python, R, SQL, C++, MATLAB, Excel VBA
Platforms and Tools: Presto, Hive, Google Cloud Platform, Microsoft Azure, Git, Bloomberg
Data Visualisation: Tableau, Chartio, Power BI, Matplotlib, ggplot2, seaborn
Libraries: scikit-learn, SciPy, Tensorflow, Statsmodels, NumPy, Pandas, Spark
Modelling: Traditional ML, Deep Learning, Time Series Analysis, Bayesian Inference, NLP, Foundation Models