I am a PhD student in Computer Science at Northwestern University, advised by Professor Jessica Hullman. Previously, I have worked as a researcher at the University of Michigan School of Information, advised by Professor Matthew Kay.
Broadly—I am interested in studying how people make sense of uncertainty information which arise in a typical data analysis pipeline. Specifically—I have developed tools which help analysts to surface the uncertainty in their data analysis process itself (the multiverse R library), or studying how users interpret uncertainty visualisations in missing data contexts or multiple comparison scenarios.
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots
VIS 2022 ● BEST PAPER HONORABLE MENTION ● PDF ● OSF
Increasing the transparency of research papers with Explorable Multiverse Analyses
CHI 2019 ● BEST PAPER AWARD ● PDF ● GITHUB
The Effect of Explanatory Narratives and Exploratory Interactivity on learning through recall
Master's Thesis Project ● 2018
I've been involved in organising the following courses as an instructor:
Transparent Practices for Quantitative Empirical Research
ACM Human Factors in Computing Systems (CHI) 2022