A Short Bio:

Martin received his Ph.D. in machine learning and signal processing in 2014 from the University of Toronto in Canada. Before joining the Department of Computer Science at Stony Brook University, Martin was a postdoctoral machine learning fellow at University of Toronto and OICR. Martin's areas of expertise are Voice-based human-machine interface and auditory scene analysis. Developing fast and large-scale learning and inference methods for Bayesian networks. Cancer drug target prediction using large-scale machine learning analysis of genomic data and networks. Data Science and natural language processing