A computational physicist and data scientist with a PhD from the University of Illinois at Urbana‑Champaign. Published over thirty peer‑reviewed articles in high‑impact journals, including PNAS, Nature Communications, and PLOS Computational Biology. Developed artificial neural networks to predict risk for 30 cancer types and created a computer‑aided diagnosis tool for CT scans. Designed empirical fitness landscapes and immune simulators for rational hepatitis C and HIV vaccine design. Contributed to agent‑based modeling of COVID‑19 (Covasim) and evaluated environmental sampling strategies for polio eradication at the Gates Foundation. Built machine learning models for breast, ovarian, colorectal, lung, prostate, and pancreatic cancer using personal health data. Received the Best Paper Award from the Utah Academy of Sciences and a Computational Science and Engineering Fellowship. Served as a review editor for Frontiers in Big Data and Frontiers in Artificial Intelligence. Passionate about applying statistical