I am an Assistant Professor of Research at the Division of Epidemiology at the University of Utah. I work on studying Complex Systems using Statistical Computing. I have over ten years of experience developing scientific software focused on high-performance computing, data visualization, and social network analysis. In recent years, I have incorporated modern AI and agentic AI tools into my workflows, using LLMs to accelerate model development and advance analytics.

My training is in Public Policy (M.A. UAI, 2011), Economics (M.Sc. Caltech, 2015), and Biostatistics (Ph.D. USC, 2020).

I obtained my Ph.D. in Biostatistics under the supervision of Prof. Paul Marjoram and Prof. Kayla de la Haye, with my dissertation titled “Essays on Bioinformatics and Social Network Analysis: Statistical and Computational Methods for Complex Systems.”

I’m available for consulting in coding, data science, network science, scientific software development, data visualization, and the integration of AI/LLM-driven methods into research and analytic pipelines.