Assistant Professor of Mathematics, School of Computer Sciences and Engineering
- Computational and Experimental Neuroscience
- Pattern Forming Systems
- Clustering in large data sets
- Partial Differential Equations
Alexander Casti, Assistant Professor of Mathematics at the FDU Metropolitan campus, earned his Ph.D. in applied mathematics from Columbia University. After completing his doctoral thesis with the renowned astrophysicist Edward Spiegel, Dr. Casti transitioned into the field of Computational Neuroscience for his postdoctoral work at the Mount Sinai School of Medicine in New York City. Since then, he has conducted research and published in the areas of theoretical and experimental neuroscience, with a particular focus on modeling the neuronal processes underlying vision. He teaches courses in a variety of areas of Applied Mathematics including Partial Differential Equations, Computational Neuroscience, Numerical and Scientific Computation, Biomathematical Modeling, and Asymptotic Methods. He has played an active role in learning outcomes assessment, accreditation of the mathematics program, the FDU Math Club, and student research projects. Dr. Casti is a co-founder of FDU’s META-TEOP program that provides mathematics enrichment through applications to local high school students. His current research interests include Computational and Experimental Neuroscience, Biomathematics, Cybersecurity and Information Assurance, Graph Theory applied to the Life Sciences, and clustering in large data sets. Dr. Casti is an active member of the Mathematical Association of America and the Society for Neuroscience.