Shengye Tao
Undergraduate in Mathematics & AI, BIMSA
I work on learning theory, quantitative trading, cognitive augmentation, and AI agents / harnesses. I aim to turn theoretical questions, experimental workflows, and real-world tasks into reproducible, evaluable, and continuously improvable research and engineering systems.
Current Roles
Sep 2026 – Present
Research Assistant
Beijing Institute of Mathematical Sciences and Applications (BIMSA)
Sep 2026 – Present
Assistant
Renmin University of China–Westlake University Joint Institute for Future Humanity
Oct 2025 – Present
Undergraduate in Mathematics & AI
Beijing Institute of Mathematical Sciences and Applications (BIMSA)
Research & Engineering
Learning Theory
Persistent Depth Ordering amid Shifting Block-Bypass Responses in Language Model Pretraining
Quantitative Trading
Ripple Quant
Cognitive Transformation
Visual Deadline
An external cognitive system for long-term goals, deadlines, and attention management.
Recent Notes
View all notes →New English research notes are on the way.
Experience
Nobel Heroes Forum 2026
Nanyang Technological University, Singapore. Discussions covered AI for Science, scientific discovery, and future health. Event page
HiYouth Hackathon
Worked in a short-cycle AI product-development setting and continued iterating on the resulting prototype.
Peking University Machine Learning Workshop
Participated in academic talks and discussions on machine learning, research practice, and future directions.
Tsinghua Qiuzhen / YMSC AI Summer School
Attended lectures and discussions on generative models, diffusion models, and mathematical perspectives on modern AI.