I am a tenure-track Assistant Professor in the Computer Science department at Thompson Rivers University. My research centers on the impact of generative AI on the learning behavior and outcome in computer science education. Before joining TRU, I was a Postdoctoral Fellow at the UBC Master of Data Science, where I developed and taught a variety of data science courses, including those on statistical inference, machine learning, and technical communication. In addition to teaching, I coordinated the capstone program, facilitating student collaborations with industry partners on real-world data science projects.
Prior to UBC, I worked as a Postdoctoral Fellow in Learning Analytics at the School of Information, University of Michigan. My research focuses on analyzing students social interactions and peer effects from spatio-temporal large scale data. My work has been recognized with competitive grants, and multiple best paper awards at prominent conferences, including LAK18 and HCI International 17.
I hold a PhD in Learning Analytics at The Open University UK, a BSc and MSc in Economics from Maastricht University, Netherlands.
Postdoc, Department of Statistics, 2024
University of British Columbia, Canada
Postdoc, School of Information, 2021
University of Michigan-Ann Arbor, USA
PhD in Learning Analytics, 2019
The Open University, United Kingdom
MSc in Economics (cum laude), 2016
Maastricht University, Netherlands
BSc in Economics, 2015
Maastricht University, Netherlands
View my full list of publications on Google Scholar.