About Me
I am a Ph.D. candidate in Computer Science at Emory University, advised by Prof. Andreas Zufle at the Spatial Computing Lab. My current research focuses on designing novel spatio-temporal foundation models for understanding human mobility using geolocation data.
Previously, I had the opportunity to work on a rotation project with Prof. Li Xiong, where we developed privacy-preserving predictive models for multi-modal temporal Electronic Health Record (EHR) data. I also worked under the supervision of Dr. Wei Jin on designing scalable and explainable graph condensation methods for Graph Neural Networks.
My broader research interests lie in Machine Learning, with applications in Spatial Computing, Graph Data Mining, and Computer Vision. I am particularly interested in gaining a principled understanding of these methods by exploring their mathematical foundations and real-world implications. My long-term goal is to translate this theoretical insight into practical solutions for real-world challenges.
šØ Actively Seeking Research Internship Opportunities ā Summer/Spring 2026
If your team is working on cutting-edge problems at the intersection of ML in general, Iād love to contribute.
š„ News
- [2025/9] A preprint about Geospatial Foundation Models released on arXiv.
- [2025/8] š Our vision paper on Spatio-temporal Foundation Models got accepted by SIGSPATIAL 25ā, in a Workshop on Urban Mobility Foundation Models.
- [2025/5] š Thrilled to take my qualification exam successfully and becoming a PhD candidate.
- [2025/2] A preprint about Efficient Graph Condensation released on arXiv.
- [2024/4] Our survey on Graph Reduction got accepted by IJCAI 24ā.
šØš¼āš Education
- Ph.D. in Computer Science, Emory University, (2023 - Present)
- B.Sc. in Computer Engineering, Shahid Beheshti University, (2018 - 2023)