Madeline is a proud Pittsburgher and Torontonian with training in mathematical and computational biology, particularly the ecology and evolution of malaria. Madeline’s current research interests focus on developing our quantitative understanding of basic biological processes that underly within-host infection dynamics. She is working towards a new approach for developing compact, predictive models of within-host infection dynamics that incorporates time series from infected animals and machine learning methods for model discovery. Such an approach will not only provide interpretable models of within-host dynamics but will also help design more efficient and informative experiments. Broadly, Madeline enjoys learning and implementing new mathematical and computational methods, and she sees machine learning as an exciting new area for skill development. For her ideal dinner party, Madeline would invite Kurt Vonnegut, Stanley Kubrick and Jeff Lynne.
- Science Mentor: Aaron A. King, Ecology and Evolutionary Biology; Mathematics, LSA
- AI Mentor: Kayvan Najarian, Computational Medicine and Bioinformatics; Electrical Engineering and Computer Science, College of Engineering
- Research Theme: Within-host infection dynamics