I'm a PhD student in Computer Engineering at the Watson Research Lab, University of Virginia, advised by Professor Amanda Watson. My research sits at the intersection of machine learning and healthcare, with a focus on wearable monitoring systems, ubiquitous computing, and multimodal deep learning.
Before UVA, I earned my M.S. in Computer Science from Duke University (GPA 3.95, Dean's List) and my B.S. in Information Systems from George Washington University (GPA 3.95, Dean's List).
🩺 Machine Learning for Healthcare · 📡 Wearable Sensing & Biomarker Detection · 🧠 Multimodal Deep Learning · 💻 Ubiquitous Computing
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OpenSpectro: An Open-Source Spectroscopic Profile Platform Haoran Zhang, E. C. Courtney, K. C. Quinn, A. Watson IEEE EMBC 2025
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A Multi-Wavelength Optical Sensing Framework for Calibration-Free Wearable Blood Pressure Monitoring T. Hamid, P. Flores, J. Byun, X. Chen, Haoran Zhang, K. Quinn, A. Watson IEEE ICASSP 2025
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OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection J. Zhang, Haoran Zhang et al., Y. Chen, H. Li Journal of Data-centric Machine Learning Research
| Project | Description |
|---|---|
| OpenSpectro | A modular, open-source platform for acquiring and analyzing spectroscopic data with affordable, customizable tools |
| Wearable BP Monitoring | Multi-wavelength optical sensing framework for calibration-free blood pressure estimation |
| OpenOOD v1.5 | Enhanced benchmark suite for evaluating out-of-distribution detection methods |
| LLM Agent Memory | Training agents with GPT-based memory architectures in MiniGrid environments |
📬 Feel free to reach out for research collaborations or just to chat!