Xuyang Chen
AI Researcher · Applied Physics & Computer Science · UC Davis
Physics-Informed ML · NLP · Affective Computing · Explainable AI
About
I am an undergraduate researcher at the University of California, Davis, pursuing a B.S. in Applied Physics and Computer Science (graduating June 2026). My research sits at the intersection of machine learning and human-centered computing, with a focus on building AI systems that are interpretable, physically grounded, and emotionally aware.
I have published in IEEE Xplore on physics-informed neural networks and am a contributing author on a CHI 2026 paper (under review) on affective modeling in AI narrative systems. I hold an MITx MicroMasters in Statistics and Data Science and completed the Harvard ML Research Bootcamp under Prof. Pavlos Protopapas.
Publications
Physics-Informed Neural Networks for Scientific Computing
IEEE Xplore · 2024
Affective Modeling in AI Narrative Systems
CHI 2026 · Under Review
Experience
Research Assistant — AI Narrative Systems & NLP
UC Davis · Jun 2025 – Present
Designing emotion-aware AI narrative systems that adapt storytelling based on user affect. Benchmarked 6+ deep learning architectures for time series classification. Implemented Grad-CAM for temporal interpretability.
AI Engineer Intern — MOJOHealth
Jun 2025 – Aug 2025
Designed agentic AI pipelines for medical credential verification using OCR and GPT API. Built interactive QA systems for real-time document querying in healthcare compliance workflows.
AI / Machine Learning Intern — Orcawise
Jun 2024 – Sep 2024
Built ML models using PyTorch and TensorFlow. Designed end-to-end data pipelines and optimized GPU training workflows for faster experimentation.
Education
University of California, Davis
B.S. in Applied Physics & Computer Science · Sep 2021 – Jun 2026
Massachusetts Institute of Technology (MITx)
MicroMasters in Statistics and Data Science · Completed 2025
Harvard ML Research Bootcamp
Trained under Prof. Pavlos Protopapas · Harvard IACS
Get in Touch
I am open to research collaborations, internship opportunities, and conversations about AI. Feel free to reach out.
