Current: Capstone
Correcting Biases in Neuroimaging Data Analysis with R.

(Completed: Summer 2022). Probabilistic clustering of complex biomarker data for Alzheimer’s Disease. Position after graduation: Analyst for Amazon.

(Completed: Summer 2021).

• Topics in Data Integration Methods for Neuroimaging and Generalized Additive
• Mixed Models for Ambulatory Blood Pressure Curves and Psychosocial Stressors. Position after graduation: Assistant Professor in the Department of Biostatistics and Bioinformatics, Emory University.

(Completed: Capstone, Spring 2023). Flexibly modeling motion confounders in functional connectivity studies with an application to autism.

(Completed: Spring 2020). Improved Algorithm for Independent Component Analysis (ICA) with Relax and Split Approximation. Position after graduation: PhD student in the Department of Statistics at the University of South Carolina.

(Completed: Spring 2020). Variable Selection of Neuroimaging Features in Mild Cognitive Impairment. Position after graduation: PhD student in the Department of Biostatistics at the University of Pittsburgh.

(Completed: Spring 2019). The impact of initialization in optimization of independent components in functional magnetic  resonance imaging. Positions after graduation: PhD student in the Department of Biostatistics and Data Science at UT Health, the University of Texas.

(Completed: Spring 2018). An exploration of time series models and their application to functional magnetic resonance imaging. Recently completed his PhD student in the Department of Statistics at Rice. Currently at Wells Fargo.