Marc’s research program combines mathematical and statistical modeling techniques to leverage biologic, clinical and population level data with the goal to inform and guide cancer early detection and prevention. Through the synthesis of data across a wide span of spatio-temporal scales, his work provides a nexus between research disciplines and fosters cross-disciplinary team science.
As a philosopher, Lok is interested in using resources from computer and statistical sciences to provide practical and implementable solutions to philosophical problems laden with conceptual ambiguity and epistemic uncertainty. He wrote his dissertation on the relationship between abductive reasoning and subjective probability.
Ilona's research focuses on what helps individuals make a good choice. The way information is presented to us substantially influences our preferences and attitudes. Utilizing both experiments and field research, Ilona explores how information framing contributes to the formulation of our preferences, misperceptions, and biases in our decisions.
Jennifer is a Research Coordinator in the Department of Population Health Sciences, where she provides research project management support. She received her BA in psychology, and her MPH from the University of North Carolina at Chapel Hill within the Department of Health Behavior.
Inmaculada is interested in utilizing mathematical modeling to gain mechanistic insight into cancer initiation, development, and treatment. To this end, she has worked on a wide variety of mathematical models that aim to help advance towards personalized treatment of cancer patients. She wrote her dissertation on the development and optimization of treatment of primary brain tumors.