Chen LIN

Chen LIN

Georgia Institute of Technology

I am currently a MS student in Mathematics, Computational Science and Engineering, and Statistics under School of Mathematics at Georgia Tech, Atlanta, GA. I am pleased to share that I will be joining the ACES Laboratory as a PhD student in Machine Learning starting Fall 2025 supervised by Prof. Santiago Carlos Grijalva. I am fortunate to be part of Prof. Kai Wang’s team. Currently, I am a Graduate Research Assistant (GRA) with Prof. Cassie S. Mitchell, PI at Laboratory for Pathology Dynamics, under the guidance of PhD student Jiajia Xie.

Previously, I received B.A. in Mathematics and B.A in Computer Science from Skidmore College under the supervision of Prof. Mark E. Huibregtse, focusing on Algebraic Geometry and Algorithm, especially in Hilbert Scheme of Points.

My research interest includes algebraic geometry, machine learning theory, deep learning theory, reinforcement learning, and data science.

🔥 Ongoing Research Projects

  • Score-based Stochastic Network Diffusion Models for Connectomes Dynamics under Neurodegeneration (Jiajia Xie, Prof. Cassie S. Mitchell, Wallace H. Coulter Department of Biomedical Engineering)
  • Optimization Algorithms and Graph Theory (review anonymization)
  • Restless Multi-armed Bandit under Matroid Constraint (Prof. Kai Wang, School of Computational Science and Engineering)

📝 Previous Projects

  • 2024.12, Enhanced Spatial Temporal Time Series Forecasting for Traffic Prediction Using Large Language Models (CS7650: Natural Language Processing)
  • 2024.12, Modeling Neurodegenerative Connectome Dynamics: A Physics-Constrained Bayesian Approach with Kriging (ISyE7400: Advanced Design of Experiments)
  • 2024.05, Nonparametric Autoencoders (Prof. Wenjing Liao, School of Mathematics)
  • 2024.05, Multimodal Analysis for Detecting Hateful Memes (CS 7643: Deep Learning)
  • 2023.12, Physics Informed Neural Networks (Prof. Shihao Yang, H. Milton Stewart School of Industrial and Systems Engineering)
  • 2023.05, Extended Dynamic Mode Decomposition (Prof. Nisha Chandramoorthy, School of Computational Science and Engineering)
  • 2023.04, Misinformation Detection on Social Network (CSE6240: Web Search & Text Mining)
  • 2023.04, Evacuation Simulation: Based on Agent-based Model (CSE6730: Modeling and Simulation)
  • 2023.03, Single-cell Clustering (Prof. Xiuwei Zhang, School of Computational Science and Engineering)
  • 2022.12, Relational Machine Learning for Knowledge Graphs (CSE8803NDA: Numerical Algorithms for Data Analytics)
  • 2022.12, Analysis of Algorithms to Solve Minimum Vertex Cover Problem (CSE6140: Algorithm)
  • 2022.08, TransMimic: Cross Morphologies Motion Skills Transferring (CS7641: Machine Learning)
  • 2022.05, Impactful Scholar Map Based on Citation Network and Influence Numbers (CSE6242: Data and Visual Analytics)

💬 Research Presentations

  • 2016.04, Identities Relating Stirling Numbers, Hudson River Undergraduate Math Conference (HRUMC), St. Michael’s College, Colchester, VT
  • 2017.04, Elliptic Curves over Finite Extension Fields, Hudson River Undergraduate Math Conference (HRUMC), Westfield State University, Westfield, MA
  • 2018.04, The Hilbert Scheme of Points of the Affine Plane, Hudson River Undergraduate Math Conference (HRUMC), St. Lawrence University, Canton, NY
  • 2018.05, Elliptic Curves over Finite Extension Fields and Applications, 2018 Academic Festival, Skidmore College, Saratoga Springs, NY