I am a PhD student in Computing Science at University of Alberta, supervised by Prof. Martha White. Previously, I studied operations research at National Taiwan University, where I worked with Prof. Shou-De Lin .

I am interested in 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 and batch reiforcement learning.


2023   University of Alberta, PhD in Computing Science
2019   University of Alberta, Master of Science in Statistical Machine Learning
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