Curriculum Vitae

Education

Ph.D. in Biostatistics

B.S. in Mathematics and Computer Science, Minor in Education

Experience

Ph.D. Machine Learning Intern

Baseline prediction of non-progressor status from patient data in Biogen Alzheimer’s disease clinical trials using boosting, random forest, and logistic regression models to evaluate impact on drug efficacy.

Conference Presentations

“Incorporating LLM Embeddings for Variation Across the Human Genome”

“Incorporating LLM Embeddings for Variation Across the Human Genome”

“Spatial Clustering to Identify NC Census Tracts with Delayed Breast Cancer Diagnosis and Care”

“Spatial Clustering for Carolina Breast Cancer Study”

“Deep Generative Models: Complexity, Dimensionality, and Approximation”

“Gaussian Process Spatial Clustering”

“Computational Methods for the Structure Determination of Symmetric Homo-Oligomer Proteins”

Awards & Fellowships

STAI-X 2026 Stellar Abstract Award

Duke University & Chen Institute Joint Boot Camp for AI & AI Accelerated Medical Research