Welcome! I am Tiancheng Zhao (赵天成). I received my Ph.D. degree in May 2019, from Language Technologies Institute (LTI) , Carnegie Mellon University, advised by Maxine Eskenazi. Also, I am a member of Dialog Research Center (Dialrc) . Before becoming a PhD student at Carnegie Mellon University, I graduated from the Master of Language Technologies (MLT) program at LTI in 2016, advised by Maxine Eskenazi and and Alan W Black. Prior to that, I obtained my bachelor degree in Electrical Engineering from University of California, Los Angeles and worked on speech signal processing, advised by Abeer Alwan.

My interest in general lies in deep learning and its application in end-to-end dialog systems and natural language processing. My current research focuses on 1) modeling long-term context in human-human and human-machine conversations and 2) end-to-end trainable dialog models that can conduct both goal driven and non-goal driven conversations via deep (reinforcement) learning.