I am a 5th year PhD student in the Department of Computer Science at Emory Unvieristy
advised by Dr. Emily Wall.
My reserach interests include:
- Developing visual interfaces to promote personal awareness (e.g., biased behaviors) in data analysis and decision making.
- Developing viusal interfaces to promote awareness in personal data analysis (e.g., time tracking data).
Visual Salience to Mitigate Gender Bias in Letters of Recommendation
We conducted a crowdsourced experiment that showed biased language can have a negative impact on readers’ evaluations of candidates and
visual highlighting of specific types of language in letters of recommendation has the potential to influence the evaluation of candidates.
Specifically, we found that highlighting language more commonly
used to describe female can negatively affect readers’ evaluation of
candidates, while highlighting language more commonly used
to describe male can reduce the effects of the bias.
VA‑supported Bias‑aware Graduate Admissions
We designed and implemented a visualization system for graudate admissions that promotes reviewers’ self-reflection and
scrutiny to ensure fair and consistent review processes. The visualization interface logs reviewers’ interactions in order to provide a
granular analysis of review behaviors across attributes such as race and gender of applicants which can relate to potentially biased
processes and inform review procedures in subsequent cycles. We conducted a user study to evaluate the effectiveness of the system.
Real-time Contact Tracing and Risk Monitoring via Privacy-Enhanced Mobile Tracking
We expanded a contact tracing Mobile App for COVID19 with privacy enhancement on user locations using Geo-Indistinguishability mechanism and provides risk monitoring.
The system allows users to control
and refine the precision with which their information will be
collected and used, and enable: 1) contact tracing of
individuals who are exposed to infected cases and identification
of hot-spot locations, 2) individual risk monitoring based on
the locations they visit and their contact with others.
Visual Salience to Mitigate Gender Bias in LORs
Y. Da, M. Chen, B. Altschuler, Y. Bu, and E. Wall
Workshop on Visualization for Social Good (VIS4Good, at VIS'23), 2023.
React: Real-time contact tracing and risk monitoring via privacy-enhanced mobile tracking
Y. Da, R. Ahuja, L. Xiong, and C. Shahabi
IEEE International Conference on Data Engineering, 2021.