Hanchen David Wang
Let's talk, chitchat, and grab coffee :)
About Me
Welcome! My name is David. I am currently a PhD student at Vanderbilt University working with Prof. Meiyi Ma on eXplainable AI in Healthcare and Deep Learning research. Outside of research, I love staying active through workouts, expressing creativity through drawing, and exploring the outdoors. I'm also a big cat lover! Whether it's grabbing boba or coffee, I'm always up for a good conversation. ☕🧋
Research Interests
My research spans across multiple areas of artificial intelligence and computer science, with a focus on making AI systems more explainable, reliable, and beneficial for healthcare applications.
Key Areas: Explainable AI (XAI), Healthcare AI, Machine Learning, Physical Therapy & Motion Analysis, Nursing Education Simulations, Formal Verification, Multimodal Learning, Continual Learning
Education
Dual Program of Master's and Ph.D. in Computer Science (Ongoing)
Vanderbilt University
Aug 2021 - 2026-05 (Expected)
Advisor: Prof. Meiyi Ma
Focus: Representation Learning in DL, Open Source Imaging, HCI, Internet of Medical Things
Bachelor of Science in Computer Science, Magna cum Laude (top 6%) GPA: 3.89
University of California, Irvine
Aug 2017 - Jun 2021
Recent Highlights
Latest Research
BEAGLE: Behavioral Explanation via Agent Graph Learning (Aug 2025 - Present)
Developing a novel framework to make AI tutors both interpretable and verifiable through behavioral explanation
Recent Publication
Learning with Preserving for Continual Multitask Learning
AAAI - Accepted (Oral)
Current Position
PhD Software Engineering Intern @ Google (May 2025 - Aug 2025)
Architected an end-to-end autonomous agent to accelerate debugging by automating the root cause analysis of internal server failures. The agent intelligently triages issues by processing complex performance and reliability logs from large-scale benchmarking systems, significantly reducing manual effort for engineering teams.
Quick Links
Let's connect! Feel free to reach out for collaborations or discussions about AI and healthcare.