PhD, Applied Mathematics, UC Davis
Before joining the doctoral program, Sollers worked in IT security and risk management for over a decade with PwC and Ernst & Young, collectively. Previously, he received his MSc in Computer Science at Cornell University and his BS in Electrical Engineering at UC Davis.
Sollers doctoral work at UC Davis utilizes machine learning techniques to improve precision epidemiology for livestock. With Dr. Beatriz Martínez López, Associate Professor of Medicine and Epidemiology, and Director of the CADMS at UC Davis, Sollers works to develop effective analytical methods, prediction models, and decision tools for detecting and mitigating swine diseases such as Porcine Reproductive and Respiratory Syndrome (PRRS).