Alexander Gammerman

Professor Gammerman's research interest lies in machine learning, in particular, in the development of novel machine learning techniques that guarantee validity of prediction. Areas of application encompasses medical diagnosis, drug design, forensic science, proteomics, genomics, environment and information security. Professor Gammerman has published about two hundred research papers and several books on computational learning and probabilistic inference. Professor Gammerman is a Fellow of the Royal Statistical Society. He chaired and participated in many international conferences and workshops on Machine Learning and Bayesian methods in Europe, Russia and in the United States. He was also a member of the editorial boards of the Law, Probability and Risk journal (2002-2009) and the Computer Journal (2003-2008).