I am a PhD Candidate in the Department of Biomedical Informatics at the University of Utah, where I am advised by Dr. Kathy Sward and Dr. Ramkiran Gouripeddi. My research focuses on machine learning, time-series analytics, and computational approaches for modeling high-resolution environmental exposures and their impact on health outcomes.

I am a contributor to the SMARTER project, where I work on developing data-driven methods to improve exposure assessment and support more effective healthcare decision-making.

Research and Professional Experience

My work lies at the intersection of machine learning, environmental health, and biomedical informatics. I develop scalable computational methods for analyzing large-scale, high-resolution sensor and health data, with a particular emphasis on interpretable time-series modeling. My research includes building reusable analytical frameworks for identifying temporal patterns in environmental exposures and linking them to downstream health and behavioral outcomes.

Technical Skills

I am proficient in Python, R, SQL, and Java, with experience in machine learning, statistical modeling, and large-scale data analysis. My work includes developing end-to-end data pipelines, working with high-performance computing systems, and building reproducible analytical workflows.

Interests

Outside of research, I enjoy sports and outdoor activities, including football, volleyball, hiking, and trekking. I value teamwork, leadership, and collaboration both in academic environments and beyond.