Hanchen David Wang

Hanchen David Wang

Let's talk, chitchat, and grab coffee :)

About Me

Welcome! My name is David. I recently defended my PhD at Vanderbilt University, advised by Prof. Meiyi Ma, with a thesis titled Explanation-Guided Adaptive Learning for Human-Centered Cyber-Physical Systems. My research focuses on eXplainable AI in Healthcare and Deep Learning. 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

Ph.D. in Computer Science (Defended)

Vanderbilt University

Aug 2021 - May 2026

Advisor: Prof. Meiyi Ma

Thesis: Explanation-Guided Adaptive Learning for Human-Centered Cyber-Physical Systems

Master of Science in Computer Science

Vanderbilt University

Aug 2021 - May 2023

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

AI-Assisted Competency Assessment from Egocentric Video in Simulation-Based Nursing Education (Jul 2024 - Mar 2026)

Proposed a three-stage framework for automated competency assessment from egocentric nursing simulation video using frozen visual encoders and few-shot learning

Recent Publication

AI-Assisted Competency Assessment from Egocentric Video in Simulation-Based Nursing Education

CVPR Workshop on Computer Vision for Education (CV4EDU) - Accepted

Current Position

Software Engineer III @ Google (Jul 2026 - Present)

Latest Talk

Learning with Preserving for Continual Multitask Learning

AAAI 2026 (Oral Presentation)

Let's connect! Feel free to reach out for collaborations or discussions about AI and healthcare.