Summary
Alan Veliz-cuba is an associate professor and mathematical biologist with 11 years of post-PhD experience developing mathematical and computational tools to understand gene and neural networks. He combines rigorous theoretical work—rooted in a PhD in mathematics from Virginia Tech with a perfect GPA—and hands-on modeling of discrete and continuous biological systems across multiple postdoctoral appointments and faculty roles. At the University of Dayton he translates systems approaches from gene and neural networks to broader domains, bridging synthetic biology, image analysis, and computational methods. Known for integrating discrete modeling techniques with practical biological questions, he brings both deep mathematical insight and applied computational craftsmanship to interdisciplinary problems.
11 years of coding experience
13 years of employment as a software developer
Virginia Tech
Bachelor of Science (BS), Mathematics, summa cum laude, Bachelor of Science (BS), Mathematics, summa cum laude at Universidad Nacional Mayor de San Marcos
English, Spanish