Resume
Academic Achievements
- Publications: 'Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations' (NeurIPS 2025)
- 'CATTE: Functional Complexity-adaptive Temporal Tensor Decomposition' (NeurIPS 2025)
- 'R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution'
- 'MarS: A Financial Market Simulation Engine Powered by Generative Foundation Model' (ICLR 2025)
- 'BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition' (ICML 2024 Spotlight!)
- Two first-author patents in AI for Drug Discovery (AIDD) that are core patents for a start-up that has raised over $10M+
Research Experience
- Assistant Professor (tenure-track) at Zhejiang University
- Senior Researcher at Microsoft Research Asia
- Internships and competitions in top hedge funds and investment banks (Morgan Stanley, World Quant, UBS) on AI-based quantitative trading/pricing strategy development
- Core contributor to MarS, an open-source financial market simulation engine
Education
- Ph.D. in Computer Science, Summer 2024, University of Utah
- Master's in Computer Science, 2019, Temple University
- B.S. in Statistics and Computer Science (double degree), 2018, School of the Gifted Young, University of Science and Technology of China (USTC)
Background
- Research Interests: Bayesian Methods and Generative Models, Scientific Machine Learning for Physical Simulation & Signal Processing, Collaborative Multi-Agents, Tensor Learning (flexible low-rank representation for high-order data), Advanced Time Series (High-Dim Tensor Time Series, Spatial-Temporal data)
- Profile: Currently a tenure-track Assistant Professor at Zhejiang University, previously a Senior Researcher at Microsoft Research Asia. Has extensive experience in AI + medical/bio scenarios and AI finance.
Miscellany
- Dedicated writer on Bayesian machine learning (in Chinese) with 15,000 followers on Zhihu (Chinese Quora)