Mathematical Biology, Bioinformatics, & Computational Biology
The shift in biological sciences from descriptive to quantitative analysis has inspired a rapidly growing area of applied mathematics. A strong group of faculty members in our department work across disciplines with faculty in biology, computer science, and statistics on problems inspired by the modeling and analysis of biological processes and systems.
Brink Hall 322
Research: Mathematical Theory of Deep Learning; Optimization Algorithms; Approximation Theory in Neural Networks; Metric Entropy and its applications in Probability and Statistics.
View Frank Gao's profile
Brink Hall 421
Research: Analysis and Differential Equations, Mathematical Biology, Bioinformatics, and Computational Biology, Probability and Stochastic Processes
View Steve Krone's profile
Brink Hall 327
Brink Hall 420
Research: Mathematical Biology, Bioinformatics, and Computational Biology
View Chris Remien's profile