Assistant Professor, School of Computing
College of Engineering, Computing and Applied Sciences
Contact: 864-656-0637 or firstname.lastname@example.org
Ilya Safro is an assistant professor in the School of Computing. His research interests include complex systems, network analysis, graph theory, machine learning, data mining, big data analysis, predictive modeling, optimization, scientific computing, and algorithms for high-performance computing. He received his M.Sc. and Ph.D. in applied mathematics and computer science at Weizmann Institute of Science. He worked as a mathematician and computational scientist in the drug design industry.
For more information, see Ilya Safro's Webpage.
Ilya is interested in applying mathematical methods for predictive modeling of complex systems, including bio-systems, large groups of people, communities, infections, and diseases. His recent projects in collaboration with national labs include optimal models and fast computational methods for response to epidemics and infection spread. Ilya is collaborating with GHS on machine learning and data mining projects. Some of his projects in drug design industry included machine learning methods for bio-medical data analysis and text analysis of bio-medical literature.
Networks, Network Science, Modeling, Graph Theory, Data Mining, Algorithms, Scientific Computing, Modeling, High-Performance Computing, Computing