Hi, I am
Abhraneel
Sarma.
I am a PhD student in Computer Science at Northwestern University, advised by Professor Jessica Hullman and 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.
Publications
multiverse: Multiplexing Alternative Data Analyses in R Notebooks
CHI 2023 ●
BEST PAPER HONORABLE MENTION ●
PDF
●
OSF
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots
VIS 2022 ●
BEST PAPER HONORABLE MENTION ●
PDF
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OSF
Prior Setting In Practice: Strategies and rationales used in choosing prior distributions for Bayesian analysis
CHI 2020 ●
PDF ●
GITHUB
Increasing the transparency of research papers with Explorable Multiverse Analyses
CHI 2019 ●
BEST PAPER AWARD ●
PDF ●
GITHUB
Projects
The Effect of Explanatory Narratives and Exploratory Interactivity on learning through recall
Master's Thesis Project ●
2018
Visualizing Inter-generational Wealth Mobility and Racial Inequality
Courses
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