Mathematical biology is a dynamic and interdisciplinary field that uses mathematical tools to better understand complex biological systems. From modeling the spread of infectious diseases and tumor growth to studying population dynamics and ecological interactions, mathematics plays a key role in identifying patterns, making predictions, and informing real-world decision-making.
At the core of these studies are ordinary, partial, delayed, and stochastic differential equations, which provide powerful frameworks for describing biological processes across time and space. This workshop series highlights the deep connection between mathematical modeling and biological discovery, featuring recent advances in differential equations, data-driven approaches, and artificial intelligence that address pressing questions in biology, medicine, and public health.
Scientific Committee for the Workshop Series: TBA
The 2026 workshop is themed, but not limited to, “Advanced Progress in Population Models Driven by Natural Intelligence (NI) and/or Artificial Intelligence (AI),” and features research talks from faculty, students, and visiting scholars in applied mathematics and the life sciences.
In-Person Location:
Mathematical Sciences Building (MSB), Room 318
UCF Main Campus
Virtual Sessions (Friday Morning):
Zoom Meeting ID: 921 2356 4603
https://ucf.zoom.us/j/92123564603
Download the Workshop Schedule (pdf) and Abstract (pdf)
Organizers:
Christen Fleming
Andrew Nevai
Yuanwei Qi
Zhisheng Shuai