Research Report — Delay Embedding & GPR
This is the full report from my research with Prof. Sarah Day (William & Mary). It presents our methodology – Takens’ delay embeddings and Gaussian Process Regression (GPR) – and results in three parts: (1) Logistic Map (method validation), (2) Hénon Map (chaotic dynamics), and (3) an ecological application to Salvinia biomass data.
Mentored Research
Reconstructing Chaotic Dynamics with Delay Embedding and Gaussian Process Regression and Applying the framework to ecological biomass data
Independent Research
Exploring Genetic Disparities and Predictive Modeling in Gastric Cancer: A Statistical and Machine Learning Approach Using TCGA Data
