Jul 2026 — Present
Stony Brook University
Bachelor’s studies in Information Systems
Stony Brook, New YorkHi, I’m Yan.
Yanbao Li Yan
Information Systems student · Software & Applied AI
Information Systems student at Stony Brook University. I enjoy building reliable software systems and turning machine learning ideas into practical applications.
Stony Brook, New York
Yanbao LiSoftware & AI
Currently
I’m looking for software engineering and applied AI opportunities where I can contribute, learn quickly, and build useful systems with a strong team.
Biography
My name is Yanbao Li, and I also go by Yan. I am currently studying Information Systems at Stony Brook University after transferring from Anhui University, where I studied Digital Media Technology.
My interests sit at the intersection of backend engineering, applied machine learning, and data-driven problem solving. I have built Java services, designed deep learning models, and worked on mathematical optimization problems in team competitions.
I care about understanding how a system works—not only getting a model or feature to run. I am especially interested in roles where thoughtful engineering can make AI systems more reliable and useful.
Education
Aug 2024 — Jun 2026
Anhui University
Digital Media Technology
Hefei, ChinaCo-Lead, Mathematical Modeling Club · Teaching Assistant, Probability TheorySelected Projects
Project pages and source repositories are being prepared.2026
Full-stack ad placement system
AdMind
Built the backend with Spring Boot, Spring Data JPA, and MySQL. Integrated the Claude API to score ad placements and support intensity-based tiering.
Java · Spring Boot · MySQL · Claude APIRepository soon
2024—25
Deep learning research project
Multimodal Medical Image Fusion
Led algorithm and model architecture design for a PyTorch-based multimodal image fusion system, while coordinating research and experiments across a four-person team.
Python · PyTorch · Deep LearningRepository soon
2025
Machine learning and optimization
Wave Energy System Optimization
Combined Random Forest fitting with genetic algorithm and Bayesian EI optimization to improve prediction and search for better damping parameters.
Python · Random Forest · Bayesian OptimizationRepository soon
Awards & Leadership
2025CUMCM Mathematical Modeling CompetitionThird Prize
2025Innovation & Entrepreneurship CompetitionExcellence Award
2024—26Mathematical Modeling Club, Anhui UniversityCo-Lead
2025Probability TheoryTeaching Assistant