Speakers
Daniel Bergman
(University of Maryland Baltimore)
Heiko Enderling
(MD Anderson Cancer Center)
Helen Byrne
(University of Oxford)
Kerri-Ann Norton
(Bard College)
Linh Huynh
(Dartmouth College)
Negar Mohammadnejad
(University of Alberta)
Sarah Brueningk
(University of Bern)
Thomas Stiehl
(RWTH Aachen University)
Description
This mini-symposium highlights emerging themes in mathematical oncology, focusing on recent methodological advances and clinical applications. Topics include emerging methodologies in spatiotemporal modeling, optimization, immune dynamics, and mechanistic learning. These methodologies will be explored in the context of the physical tumor microenvironment, therapeutic design, and the development of patient-specific digital twins. Collectively, these talks highlight how rigorous modeling can both deepen biological insight and support the development of predictive, translational tools in oncology.
Authors
Jana Gevertz
(The College of New Jersey)
Rebecca Bekker
(The University of Texas MD Anderson Cancer Center)
Thomas Hillen
(University of Alberta)
