Corning, New York, United States
CS371 - Elements of Machine Learning
Research on applied graph theory and LLM Accepted NAACL SRW 2025
Utilize MatLab to model real-time 3D tracking of nanoparticles, specifically the behavior of a single virus particle at the first stage of infection Found change points in particle trajectories using fractal Brownian motion and Hurst parameter,
Using probability, ODE/PDE, stochastic processes, and numerical methods to research cellular and chemical transport processes and how they determine timescales for important reactions.
Utilized various ML methods to analyze student mental health responses during COVID Learned Python and various packages associated with natural language processing, sentiment analysis, and deep learning (specifically BERT and GPT models) Paper (soon to be published) on comparative methods between ML models and multi-class sentiment classification