CV

Here is a more detailed pdf version : Yongkang’s CV.

Education

B.S. in Data Science, Yuanpei College, Peking University, 2018-2022
M.Eng. in IEOR, College of Engineering, University of California Berkeley, 2023-2024
Ph.D. in Computer Science, Paul G. Allen School of CSE, University of Washington, 2024-Now
- Research Area: Foundation Models in Biomedicine, Natural Language Processing

Research Intern, Microsoft AI, Redmond, Jun 2026 - Sep 2026
- Designed EvoClinician, a self-evolving framework that builds fully interpretable and auditable medical intelligence from multimodal EHR data.
- Enabled autonomous co-evolution of a perception module that dynamically acquires missing features from the relevant modalities and a cognition module that refines its decision graph to exploit them for more accurate clinical predictions.
- Achieved state-of-the-art performance over EHR foundation models and generic baselines across diverse clinical tasks while remaining fully interpretable.
Research Scientist Intern, GE HealthCare, Seattle, May 2024 - Aug 2024
- Developed a multi-agent system for single-cell analysis, enabling low-code solutions in the field.
- Improved the accuracy of API invocation and parameter prediction over baseline agents.