
Stony Brook University
Bachelor’s studies in Information Systems
Stony Brook, New YorkHi, I’m Yan.
Information Systems student · Software & Applied AI
Information Systems student at Stony Brook University building local-first desktop apps and explainable AI services. I’ve shipped Windows and Android previews, public web demos, and data-driven modeling work.

I’m looking for software engineering and applied AI opportunities where I can contribute, learn quickly, and build useful systems with a strong team.
I’m Yanbao Li, and I also go by Yan. I study Information Systems at Stony Brook University after transferring from Anhui University, where I studied Digital Media Technology.
I build practical software across desktop, cross-platform, and AI-assisted systems. My recent work includes C# media workflows, Flutter / Dart local-first applications, TypeScript / Fastify services, and multimodal model experimentation involving data preparation, parameter tuning, and evaluation. I care about clear system design and building features that remain useful beyond a demo.

Bachelor’s studies in Information Systems
Stony Brook, New York
Bachelor’s studies in Digital Media Technology
Hefei, ChinaCo-Lead, Mathematical Modeling Club · Teaching Assistant, Probability TheoryC# desktop media-processing workflow
Released a local-first Windows app for authorized YouTube and Bilibili downloads.
Explainable video-ad decision service
Shipped a public three-scenario demo and Fastify API for explainable long-video ad decisions.
Cross-platform local-first media system
Released Windows and Android preview builds of a local-first Flutter / Dart music and MV player.
Primary programmer and optimization modeler
Owned the programming and optimization-modeling work for coordinated drone deployment: formulated the geometric model, proposed fitting and search approaches, and tuned simulated annealing, Bayesian optimization, genetic algorithms, island models, and NSGA-II for multi-objective strategies.
Python · Bayesian Optimization · Genetic Algorithms · NSGA-IIPyTorch multimodal-fusion research
Implemented and tuned components of a PyTorch-based multimodal image-fusion model, contributing model experiments, parameter adjustment, data integration, and evaluation support within a four-person research team.
Python · PyTorch · Deep LearningPrimary programmer and modeling contributor
Owned the Python implementation and modeling workflow for a cybercrime-policy study: selected, implemented, and tuned hierarchical clustering, game-theoretic analysis, and random forest regression for data fitting and comparative analysis.
Python · Random Forest · Hierarchical Clustering · Data Visualization