Combining operations research and artificial intelligence problem solving methods. Mathematical programming approaches to problems in data science, data mining, artificial intelligence and machine learning such as machine learning, support vector machines, neural networks, pattern recognition, and planning. Application of these techniques to medical, financial and scientific problems. Applications of machine learning to systems biology, cheminformatics, bioinformatics, tissue engineering, molecular epidemiology, and population biology.
Professor & Assoc. Director, Mathematical Sciences
mathematical programming, machine learning, data science, support vector machines, neural networks, artificial intelligence, parallel optimization, automated drug discovery, data mining, bioinformatics, cheminformatics, molecular epidemiology, population biology, complementarity