Hi! I’m Haokun Zhao, a research assistant in the Rose STL Lab at UC San Diego, working with Prof. Rose Yu. I received my M.S. in Electrical and Computer Engineering from UC San Diego, and my B.E. in Computer Science and Engineering from The Chinese University of Hong Kong, Shenzhen, where I was advised by Prof. Jicong Fan. I have also collaborated with Prof. Chenyu You at Stony Brook University.
My research interests lie broadly in large language models (LLMs), agentic systems, and AI for science, with a particular focus on building intelligent, efficient, and interpretable AI systems for real-world scientific discovery.
📢 I’m actively seeking fully funded Ph.D. positions for Fall 2027 in the U.S. If my background and research experience align with your interests, please feel free to reach out via email — I would be happy to discuss potential research directions and collaborations. Please see my CV for more details.
🔥 News
- 2025.10: 🎉🎉 We released TimeSeriesScientist, the first LLM-driven agentic framework for general time series forecasting.
📝 Publications
TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis
Haokun Zhao†, Xiang Zhang†, Jiaqi Wei†, Yiwei Xu, Yuting He, Siqi Sun, Chenyu You
- The first LLM-driven agentic framework for general time series forecasting.
- Produces clear and rigorous reports that make the entire forecasting workflow transparent and interpretable.
Pre-print’25 (Under Review)
Medical Test-free Disease Detection Based on Big Data
Haokun Zhao†, Yingzhe Bai†, Qingyang Xu, Linxin Zhou, Luqi Huang, Jicong Fan
- Leverages structured knowledge in electronic health records (EHRs) to enable broad-spectrum disease detection with little to no direct medical testing.
- Greatly reduces the cost and risk of disease detection, enabling large-scale, test-free screening for improved public health.
Pre-print’25 (Under Review)
📖 Education
- 2024.09 - 2026.06, M.S. in Electrical and Computer Engineering, University of California, San Diego
- 2020.09 - 2024.07, B.E. in Computer Science and Engineering, The Chinese University of Hong Kong, Shenzhen
- 2022.08 - 2022.12, Visiting Student, University of California, Berkeley
🎖 Honors and Awards
- 2024.09, School of Data Science TA/USTF Award.
- 2021 - 2024, Dean’s List.
💬 Teaching
- 2023.09 - 2024.05, Undergraduate Student Teaching Fellow (USTF), DDA 3020 Machine Learning
💻 Internships
- 2023.07 - 2023.09, IPC Engineer Intern, RINO Cloud Technology, Shenzhen.
📚 Academic Services
Journal Reviewer