About

I am an undergraduate student in mathematics at Nanjing University. My main interests are probability theory, mathematical analysis, and machine learning.

I am particularly interested in the mathematical structure of learning systems, including questions about generalization, representation, and approximation. I want to study how methods from probability and analysis can be used to understand learning models more precisely.

Interests

Probability Theory
Deep Learning
Machine Learning Theory
Mathematical Analysis

Education

Nanjing University, School of Mathematics

BSc in Mathematics

Currently a second-year undergraduate student. During my time at Nanjing University, I have gained deeply from both academic study and personal reflection—learning to think more seriously about myself while continuously improving through disciplined study, becoming more composed and less restless over time.

Hengyang No. 8 High School

High School Diploma

A formative and unforgettable period where many foundational learning habits and intuitive ways of thinking began to take shape.

Internships

Mathematics and AI Reading Group

Research Preparation Intern · Remote

Placeholder experience focused on literature review, technical note writing, and preparation for learning-theory research.

Applied Mathematics Project

Quantitative Modeling Intern · Nanjing

Placeholder internship entry for structured modeling practice, data interpretation, and mathematical communication.

Publications

Awards

Nanjing University People's Scholarship

Nanjing University

Awarded in recognition of academic performance and overall development.

National College Student Mathematics Competition (Jiangsu) - Second Prize

Chinese Mathematical Society (CMS)

Recognized for strong problem-solving ability in undergraduate mathematics competition.

National College Student Mathematical Modeling Competition (Jiangsu) - Third Prize

Chinese Society for Industrial and Applied Mathematics (CSIAM)

Completed a team-based modeling project focused on structured quantitative analysis.

Contact

Availability

Open to academic conversations, research collaboration, and internship opportunities related to mathematics and AI.

Projects

Predictive Coding Networks

Featured

In Progress

A learning project on Predictive Coding Networks that combines theoretical study of predictive coding principles with hands-on implementation and experimentation of PCN models.

2026.4 - Present