I am a Postdoctoral Fellow in Biostatistics with the PENNSIVE Lab at the University of Pennsylvania with my advisor Dr. Russell Shinohara.

I received my PhD in Biostatistics from University of North Carolina at Chapel Hill. With my advisor Dr. Kinh Truong, I worked on developing methods extending independent component analysis to analyze functional connectivity and point process data.

Through my work at the Carolina Institute of Developmental Disabilities, I

• Used machine learning to predict future autism diagnosis in infants based on behavioral data
• Conducted inference on associations between autism diagnosis, behavioral outcomes, and brain measures
• Taught statistical concepts and R programming

For more information, please check out my developed statistical software, developed course materials, publications, CV, and GitHub account.

Research Interests

Functional Data Analysis

Signal Processing

Machine Learning

Network Analysis

Education

PhD in Biostatistics: 2021

University of North Carolina at Chapel Hill

BS in Mathematics, Economics: 2015

Syracuse University