Martin Renqiang Min Email: (middlename) [at] gmail [dot] com

I taught Topics in Deep Learning: Methods and Biomedical Applications at Department of Statistics and Data Science, Yale University in Spring 2020, and have given several guest lectures on Deep Learning at Yale University each year since then.

Martin Renqiang Min received his BSc degree in Computer Science from Nankai University, and MSc and PhD degrees in Computer Science from Machine Learning Group, Department of Computer Science, University of Toronto. He did a one-year postdoc at Yale University. In May 2011, he accepted a tenure-track faculty position from Department of Computer Science and Engineering, Hong Kong University of Science and Technology. Due to family reasons, he immigrated to the New York metropolitan area. His research interests include deep learning and biomedical informatics, focusing on representation learning, generative models, multimodal reasoning, generative biomedicine, and omics for personalized healthcare. He contributed to the ENCODE Project, and his text-to-video research was reported by Science, MIT Technology Review, and international news media. He was a co-chair of NIPS Workshop on Machine Learning in Computational Biology in 2014. Since 2012, he has been a researcher of NEC Labs America, Princeton.