Mathematics & AI · Learning theory · Systems research
Shengye Tao
Undergraduate in Mathematics & AI at BIMSA
I am interested in learning theory, sequential decision-making, quantitative systems, digital life, and world models. I build small reproducible systems and research prototypes to turn abstract questions into testable structures.
Research Interests
Selected Work
Work in progress
Visual Deadline
A cognitive scheduling system for visualizing task pressure, deadlines, attention load, and long-term goals.
Draft
MarketManifold
A market structure visualization project based on correlation, distance, MDS, PCA, and clustering.
Notes
Digital Life Minimal Model
A formal exploration of boundary maintenance, endogenous value, persistent identity, and environment coupling in digital systems.
Recent Activities
BIMSA Math & AI Program
Joined the Mathematics & AI undergraduate program at BIMSA, focusing on mathematical foundations, artificial intelligence, and research-oriented training.
Tsinghua Qiuzhen / YMSC AI Summer School
Attended lectures and discussions on generative models, diffusion models, and mathematical perspectives on modern AI.
Peking University Machine Learning Workshop
Participated in academic talks and discussions on machine learning, research practices, and possible future research directions.
Academic Profile
I am transitioning from a student of existing ideas to a researcher-builder who turns abstract questions into reproducible systems, notes, prototypes, and papers. See Academic for education, research interests, notes, and CV.