Paper 'Designing for Disclosure in Data Visualizations' accepted at IEEE VIS; Awarded the Liew Family Graduate Fellowship in Sept 2023.
Research Experience
Interned as a machine learning engineer at Weights & Biases in Aug 2020; Worked full-time at Amazon SageMaker from May 2021 to June 2022; Worked on Ground Truth Plus and Ground Truth Synthetic in June 2022; TA for DATA 23700: Visualization for Data Science in fall 2023.
Education
Started MS in CS program at Arizona State University in Aug 2019; Joined PhD in CS program at the University of Chicago in Sept 2023, advised by Prof. Alex Kale.
Background
PhD student at the Computer Science department of the University of Chicago, interested in studying how visualizations can help people reason about uncertainty and drive their decision-making.
Miscellany
Enjoys buying and reading books, cooking, and occasionally summarizes research papers on a blog called Computers, Papers and Everything.