Education
- M.S. in Mathematics, Louisiana State University, May 2026
- B.S. in Computer Science and Mathematics, Louisiana State University, 2024
Publications and Research
- Manuscript In Preparation: Structural Instability of Neural ODEs Near Saddle-Node Bifurcations and Invariant Boundaries – Sole author
- Manuscript In Preparation: Quantification Framework for Underwater 3D-Concrete Printing – First author
- Technical Report: Analysis of Cyclic Recovery in a Novel Reaction–Diffusion System – Sole author [Interactive]
- Manuscript In Preparation: Machine Learning and LLM Integration for Self-Sensing Concrete Research – Co-author
Links are available on my actual CV.
Work Experience
- Spring 2025 - present
Graduate Research Assistant in Louisiana State University's Department of Civil Engineering.
Conducting research in autonomous underwater 3D concrete printing quality quantification and self correcting print processes via computer vision and control theory applications.
Supervisor: Dr. Yen-Fang Su - Spring 2022 - Spring 2024
Undergraduate Research Assistant at Louisiana State University
Conducted research in machine learning, computer vision, and federated learning.
Supervisor: Dr. Hao Wang - Fall 2022 - Spring 2023
Data Science Intern at Harvard GAMI
Created predictive models for neurodegenerative disease detection.
Skills
- Mathematical modelling
- Control Theory applications
- Programming experience in C++, Java, Python, MATLAB, JavaScript, and C
- Computer vision
- Machine learning
- Numerical solution methods to PDEs and ODEs
- Version control (yes this is a skill)