简介

Mark Kon is a professor of Mathematics and Statistics at Boston University. He is affiliated with the Quantum Information Group, the Bioinformatics Program and the Computational Neuroscience Program. He received a PhD in Mathematics from MIT, and Bachelor's degrees in Mathematics, Physics, and Psychology from Cornell University. He has had appointments at Columbia University as Assistant and Associate Professor (Computer Science, Mathematics), at Tufts University as Assistant Professor, and at MIT as a graduate instructor. He has served as departmental director of graduate studies at Boston University, and he is currently affiliated with the Bioinformatics Graduate Program. He has published approximately 100 articles in mathematics and statistics, mathematical physics, computational biology, and computational neuroscience, including two books. His recent research and applications interests involve quantum probability and information, statistics, machine learning, computational biology, computational neuroscience, and complexity. He has recently pursued research in quantum computation and information, and his current work in machine learning has investigated complexities of designs for learning machines and neural networks which improve, sometimes significantly, on those for standard architectures. Application areas of the latter include bioinformatics and genetic transcription informatics. He is on the editorial board of Neural Networks, and has been on the organizing committee of the World Congress on Neural Networks twice. He has had research grants and contracts from the American Fulbright Commission, National Science Foundation, and the U.S. Air Force. He has given approximately 100 lectures in 15 countries. Among organizational roles, he has been a co-organizer for MIT summer analysis seminars in Vermont, and the organizer of a mini-symposium on Computational Complexity Theory in Chamonix, France.