About Me
I am Xuyang Chen, a senior undergraduate at the University of California, Davis, pursuing a B.S. in Applied Physics and Computer Science (expected June 2026). My research lies at the intersection of physics-informed machine learning, natural language processing, and affective computing, with a focus on developing AI systems that are both scientifically grounded and human-centered.
I have completed the MITx MicroMasters in Statistics and Data Science and trained at the Harvard ML Research Bootcamp under Professor Pavlos Protopapas at the Harvard Institute for Applied Computational Science (IACS). My published work includes a paper on physics-informed neural networks in IEEE Xplore (CSCI 2024), and I have a manuscript under review at ACM CHI 2026 on affective modeling with large language models.
Research Interests
My research spans multiple domains in AI and computational science. I am particularly interested in:
Physics-Informed Machine Learning — Integrating physical laws and domain constraints into neural network architectures to solve partial differential equations and scientific computing problems with improved accuracy and generalization.
Affective Computing & HCI — Developing emotion-aware AI systems that dynamically adapt to user affect, with applications in interactive narrative systems and therapeutic technologies.
Explainable AI & Interpretability — Applying techniques like Grad-CAM and uncertainty quantification to make deep learning models more transparent, trustworthy, and actionable for real-world decision-making.
Agentic AI & NLP — Building autonomous AI pipelines that combine large language models, retrieval-augmented generation, and multi-step reasoning for complex real-world tasks such as document verification and compliance automation.
Experience
Research Assistant — AI Narrative Systems & NLP
University of California, Davis · Jun 2025 – Present
Designing emotion-aware AI narrative systems that adapt storytelling based on user affect, contributing to a paper under review at CHI 2026. Benchmarked 6+ deep learning architectures (LSTM, CNN, Transformer, ResNet, InceptionTime, LSTM-FCN) for time series classification. Implemented Grad-CAM for temporal interpretability and collaborated with faculty on experimental design and manuscript preparation for top-tier HCI venues.
AI Engineer Intern
MOJOHealth · Jun 2025 – Aug 2025
Designed and deployed agentic AI pipelines for medical personnel credential verification using OCR and GPT API. Built interactive QA systems enabling real-time document querying and structured data retrieval for compliance workflows. Orchestrated multi-step automation workflows using Make to streamline end-to-end verification processes.
AI / Machine Learning Intern
Orcawise · Jun 2024 – Sep 2024
Built ML models using PyTorch and TensorFlow, improving prediction accuracy on client datasets. Designed end-to-end data pipelines from ingestion and preprocessing through training and evaluation. Optimized model training workflows for GPU environments, reducing iteration time and enabling faster experimentation.
Education
University of California, Davis
B.S. in Applied Physics & Computer Science · Sep 2021 – Jun 2026
Published in IEEE Xplore (2024). Contributing author at CHI 2026 (under review). Research focus on physics-informed ML and affective computing.
Massachusetts Institute of Technology (MITx)
MicroMasters in Statistics and Data Science · Completed 2025
Graduate-level credential covering probability, statistical inference, machine learning, and data analysis.
Harvard ML Research Bootcamp
Trained under Prof. Pavlos Protopapas · Harvard IACS
Technical Skills
Languages: Python, SQL, JavaScript, HTML/CSS, PHP, MATLAB, LaTeX
ML / Deep Learning: PyTorch, TensorFlow, Keras, Scikit-Learn, Hugging Face Transformers, Grad-CAM, GPT API
Data & Tools: Pandas, NumPy, SciPy, Matplotlib, Docker, Git, GPU Computing (CUDA), Linux, OCR, Make
Domains: NLP, Time Series Analysis, Computer Vision, Explainable AI, Agentic AI, Physics-Informed ML
Contact
Email: lanche@ucdavis.edu
GitHub: github.com/1anthanum
LinkedIn: linkedin.com/in/xuyang-chen-ml
Website: ferriraai.com
Xuyang Chen 