I'm an assistant professor in Department of Computer Science at Virginia Tech. My research aims to bridge AI with clinical decisions and focuses on machine learning (ML), data mining, scientific modeling, and public health. I finished my Ph.D. in Computer Science from Georgia Institute of Technology in 2024 (advisor: Prof. B. Aditya Prakash). I was also a postdoctoral research associate in the Biocomplexity Institute at University of Virginia (supervisors: Prof. Anil Vullikanti and Prof. Gregory Madden). Before this, I completed my undergraduate studies at Shanghai Jiao Tong University, China, where I received my Bachelor's degrees in both Information Engineering and Finance and graduated with honors.

[I am actively seeking self-motivated Ph.D. students and postdocs to join my group. If you are interested, please email me.]

Research Interests

• Machine learning
• Data mining
• Scientific modeling
• Public health
• Large language models
• Graph neural networks

Employment

Assistant Professor, 12/2024 to present

• Department of Computer Science, Virginia Tech

Postdoctoral Research Associate, 09/2024 to 12/2024

• Biocomplexity Institute, University of Virginia

Graduate Research Assistant, 08/2019 to 08/2024

• College of Computing, Georgia Institute of Technology

Education

Ph.D. in Computer Science, 08/2019 to 08/2024

• College of Computing, Georgia Institute of Technology

B.S. in Information Engineering & B.S. in Finance, 09/2015 to 07/2019

• Shanghai Jiao Tong University, graduate with honor

Teaching Experience

Teaching Assistant, 01/2023 to 05/2023

• CSE 8803 Introduction to Urban Computing, Georgia Institute of Technology

Teaching Assistant, 08/2021 to 12/2021

• CSE 8803 Data Science for Epidemiology Georgia Institute of Technology

Service

Program Committee

• 2025: SDM
• 2024: IEEE Big Data, ASONAM
• 2023: KDD epiDAMIK, ASONAM
• 2022: KDD epiDAMIK

Reviewer

• 2025: ICML, ICLR, AISTATS
• 2024: NeurIPS, CVPR, ACM TIST, IEEE AVSS
• 2023: KDD, IEEE Intelligent Systems, PLOS Global Public Health
• 2022: KDD, IEEE TKDE, DAMI

Awards

• SDM 2024 Best Poster Award, 04/2024

• SDM 2024 Travel Award (by IBM), 02/2024