- "Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining" (AAAI-2025 GenAI4Health Workshop)
- "HEPHA: A Mixed-Initiative Image Labeling Tool for Specialized Domains" (IUI-2025)
- "Combining Machine Learning and Queueing Theory for Data-driven Incarceration-Diversion Program Management" (IAAI-2024)
Research Experience
- Research Focus: Agentic AI, Multimodal Understanding and Reasoning, AI Application in Human Health (including AI for Biomedical and Medicine Scientific Discovery, and AI for Healthcare)
Education
- Ph.D. in Computer Science: University of Illinois Urbana-Champaign (incoming)
- M.S. in Computer Science: University of California, Los Angeles (UCLA), advisors: Professor Nanyun Peng, Professor Kai-Wei Chang; mentor: Professor Yiwei Wang
- B.S. in Computer Science and Data Science: Purdue University, mentors: Professor Bingxin Zhao, Professor Pengyi Shi, Professor Amy Ward, Professor Tianyi Zhang
Background
- Incoming CS PhD at University of Illinois Urbana-Champaign (UIUC)
- Recently completed Master's Degree from the University of California, Los Angeles (UCLA), advised by Professor Nanyun Peng and Professor Kai-Wei Chang, and mentored by Professor Yiwei Wang
- Completed Bachelor's Degree at Purdue University, double-majored in Computer Science and Data Science, mentored by Professor Bingxin Zhao, Professor Pengyi Shi, Professor Amy Ward, and Professor Tianyi Zhang