I am a MSc student in statistical machine learning at University of Alberta, supervised by Prof. Martha White and collaborated with Prof. Or Sheffet. Previously, I studied operations research at National Taiwan University, where I worked with Prof. Shou-De Lin .

I am interested in autonomous decision making in the framework of reinforcement learning (RL), with applications to business, finance and economics. Currently, I focus on representation learning and value-based reinforcement learning. I am also interested in model-based RL, long-term prediction/planning and modeling behaviors in multi-agent environments.


2019   University of Alberta, Master of Science in Computing Science
2017   National Taiwan University, Bachelor of Business Administration with a minor in Computer Science

Relevant Courses

Statistics: Stochastic Processes, Statistical Inference, Optimization Methods, Probability, Linear Algebra, Statistics, Calculus, Statistical Data Analysis (with R), Quantitative Analysis (Econometrics)
Machine Learning: Modelling Human Strategic Behaviour (2019 Winter), Optimization for RL, Differential Privacy, RL, ML Foundations
Theoretical CS: Algorithm Design and Analysis, Formal Languages and Automata Theory
Online Courses: Deep Learning, Convex Optimization