Mathematical biology is a dynamic, interdisciplinary field that uses mathematical tools to better understand complex biological systems. From modeling infectious disease spread and tumor growth to studying population dynamics and ecological interactions, mathematics plays a key role in identifying patterns, making predictions, and informing real-world decisions.
At the core of this work are ordinary, partial, delayed, and stochastic differential equations, which provide a powerful framework for describing biological change over time and space. This workshop highlights the connection between mathematical modeling and biological discovery, with sessions exploring how recent advances in differential equations, data-driven methods, and AI are helping address questions in biology, medicine, and public health.
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 will feature research talks from UCF and visiting scholars across 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