Dr. Renqiang Min

NEC Laboratories America


Martin Renqiang Min is a Research Staff Member of Machine Learning Group, NEC Laboratories America. He received his MSc and PhD degrees in Computer Science from Machine Learning Group, Department of Computer Science, University of Toronto, respectively, in 2005 and 2010. He did a one-year postdoc at Yale University. His research interests include biomedical informatics and machine learning, focusing on deep learning, graphical models, text understanding, video analysis, and omics for precision medicine. He contributed to the ENCODE Project, for which he published a co-first author research article on Nature. His recent text-to-video research was reported by Science, MIT Technology Review, and many other international news media. He also actively contributes to scientific services, for which he has been a program committee member of ICML, ICLR, NIPS, and AAAI for many years. He was a co-chair of NIPS Workshop on Machine Learning in Computational Biology in 2014. More information about his research can be found from his webpage http://www.cs.toronto.edu/~cuty