Education

Bachelor of Arts in Computer Science & Statistics, McGill University, 2020
Dean’s Honours List (Top 5%), CGPA: 3.92/4.00, Major GPA: 3.96/4.00
- Selected Math Coursework: Advanved Probability Theory, Optimization, Mathematical Machine Learning, Stochastic Processes, Calculus, Linear Algebra
- Selected Computer Science Coursework: Applied Machine Learning, Natural Language Processing, Computer Vision

Research Positions

Department of Finance, the Chinese University of Hong Kong, 2021 - Now
- Research Assistant
- Supervisors: Prof. Darwin Choi, Prof. Zhenyu Gao and Prof. Wenxi Jiang
Quebec AI Institute (MILA) & McGill University, 2019
- Machine Learning Research Intern
- Supervisors: Prof. Joelle Pineau and Prof. Audrey Durand

Financial Advisors’ Awareness of Climate Risks: A Textual Analysis Perspective
Co-authors: Prof. Darwin Choi, Prof. Zhenyu Gao and Prof. Wenxi Jiang
Keywords: Climate Finance; Investor Behaviour; Textual Analysis
Details
- Preprocess hundreds of gigabytes of PDF documents into TXT format.
- Design a machine learning pipeline for iterative labelling to construct a high-quality training dataset.
- Fine-tune BERT to classify unlabelled corpus and achieve 85+% test accuracy.
- Construct a climate-awareness measure to quantify firms’ realization of climate risks.
- Conduct robust regressions to analyze how climate-awareness affects fund portfolio holdings and return performance.
A Theoretical Analysis of UCT with Laplace Bound
Co-authors: Prof. Joelle Pineau and Dr. Audrey Durand
Keywords: Machine Learning; Statistical Learning Theory; Optimization
Details
- First proved UCT algorithm using the Laplace bound that has a lower regret bound than its counterparts.
- Showed experimental results are consistent with the theoretical regret bound in deep learning settings.
Bandit Algorithms for Factorial Experiments
Co-authors: Prof. Joelle Pineau and Dr. Audrey Durand
Keywords: Machine Learning; Optimization
Details
- Implemented a family of bandit algorithms.
- Investigated various factorial experimental design configurations.
- Concluded that UCT algorithms for factorial experimental designs are robust.

2020
Teaching Assistant of COMP551 Applied Machine Learning
2019
External Advisor of AI for Social Good Lab
Teaching Assistant of ECSE211 Engineering Design Principles and Methods
2018
Teaching Assistant of ECSE202 Introduction to Software Development
Teaching Assistant of MATH223 Linear Algebra
Tutor of Computer Science Undergraduate Society Help Desk