I am a Postdoctoral Research Fellow in Educational Data Science at the School of Information, University of Michigan. My work focuses on analysing digital traces in educational settings to detect temporal discrepancies between course design and student engagement, and the subsequent effects on academic performance. My second research strand is to model peer interactions and peer influence on academic choices and performance. My research employed a wide range of statistical and computational techniques, such as multilevel modeling, network analysis, time-series/temporal analysis, and machine learning. My work has received multiple best paper awards at established conferences (e.g. LAK18 and HCI International 17). Prior to joining UMich, I was a PhD candidate in Learning Analytics at The Open University UK and an Associate Lecturer in Applied Statistics at the University of Arts London. I have a background in Economics (BSc. & Msc.) at Maastricht University, Netherlands.
PhD in Learning Analytics, 2019
Open University, United Kingdom
MSc in Economics (cum laude), 2016
Maastricht University, Netherlands
BSc in Economics, 2015
Maastricht University, Netherlands
Dec 01, 2020
I was invited to lead a workshop on Temporal Analytics at the Learning Analytics Summer Institute 2021, hosted virtually by UBC.
Nov 10-11, 2020
I am excited give a research talk on using spatial-temporal network data to inform strategies to reopen campuses during pandemic at the Michigan Institute of Data Science (MIDAS) Annual Symposium 2020.
Oct 31, 2020
My submission on spatial-temporal network has been accepted for presentation at the AERA 21 roundtable on Advanced Statistical Methods for Complex Data.
Sep 18, 2020
My poster submission on modeling peer interactions from spatial-temporal network was presented at the AERA Sattlelitte conference in Educational Data Science hosted by Stanford. You can find the poster here
May 13, 2020
My research proposal “Students’ mobility patterns on campus and the implications for the recovery of campus activities post-pandemic” has been selected (7 out of 49 submissions) for funding through the MIDAS Propelling Original Data Science (PODS) program for a COVID-19 mini-grants.
May 4, 2020
My study “Exploring homophily in demographics and academic performance using spatial-temporal student networks”, has been accepted as a full paper at the 13th International Conference on Educational Data Mining (EDM) 2020.
Mar 22-27, 2020
I am looking forward to presenting my research paper and an on-going workshop paper in temporal network analysis at LAK20 in Frankfurt, Germany. Update: the conference was held virtually.
Jan 17th, 2020
I am excited to give a talk “Using Temporal Analytics to Detect Inconsistencies Between Learning Design and Student Engagement” at the LINK research lab, University of Texas Arlington, USA
Jan 7th, 2020
I was invited to deliver a workshop on Temporal and Sequential analysis at the Learning Analyis Summer Institute (LASI20) in New York hosted by NYU and Columbia, USA.
Dec 4th, 2019
I have successfully defended my dissertation and got awarded a PhD!
Nov 8th, 2019
I am giving a talk at the AIM series, Center of Academic Innovation, UMich.
Oct 8th, 2019
I am excited to start my postdoc at the School of Information, UMich. I will be working in the Educational Technology Collective lab, led by Dr. Chris Brooks. I am looking forward to collaborating with many brilliant learning analytics researchers and practitioners at University of Michigan!
Sep 19th, 2019
I am thrilled (and relief) to have submitted my Ph.D. thesis!
Jun 14th, 2019
I am glad to receive the Erik Duval travel scholarship to attend the Learning Analytics Summer Institute (LASI) in Vancouver, Canada, hosted by UBC and SFU. Beautiful weather!