PhD Candidate in Computer & Information Systems
Simon Business School
The University of Rochester
I am a PhD Candidate in Information Systems at the Simon Business School of the University of Rochester. My research intersects Data Mining and Causal Inference with an emphasis on making sense of unstructured data to solve meaningful business problems. I’m especially interested consumers’ reactions to emerging technology shocks and how such reactions in turn affect businesses. Hence, I work on topics such as social media, healthcare analytics, and data privacy. At Rochester, I work with Weiguang Wang and Huaxia Rui.
Before moving to Rochester in 2019, I was briefly a PhD student at UT Austin under the guidance of Wen Wen. Before that, I graduated from Emory University in 2018 with B.S. in Computer Science and B.A. in Economics & Mathematics. I was advised by Joyce Ho and Vilma Todri.
- Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature, with Jette Henderson, Joyce C. Ho, Joydeep Ghosh and Byron C. Wallace. Journal of Medical Internet Research, 2018.
- Hawaii International Conference on System Sciences (HICSS), 2024.
- International Conference on Information Systems (ICIS), 2023.
- Conference on Information Systems and Technology (CIST), 2023.
- INFORMS Healthcare, 2023.
- INFORMS Annual Meeting, 2022.
- Conference on Information Systems and Technology (CIST), 2022.
- Conference on Health IT and Analytics (CHITA), 2022.
- Journal of Marketing Research – Special Issue on Mitigation in Marketing, 2021.
- ISMS Marketing Science Conference, 2021.
When I’m not in my office, I
am try to be an avid boxer. I also enjoy hiking and camping in the Finger Lakes region.
Currently reading: Thinking Fast and Slow by Daniel Kahneman.