I am a Principal Applied Scientist in the Speech Research Group at Microsoft. I obtained my Ph.D. degree in Computer Science from Johns Hopkins University. At JHU, I was also affiliated with the Center for Language and Speech Processing (CLSP), advised by Prof. Sanjeev Khudanpur and former JHU Prof. Daniel Povey. I am mostly working on speech recognition (ASR) problems, and have broad interests in machine learning and natural language processing as well. I am one of the major contributors of the Kaldi project, and the owner of the open-source end-to-end ASR toolkit Espresso. I interned at Google’s speech team and Amazon’s Alexa ASR team in 2017 and 2018 respectively, working on end-to-end ASR.

I received my B.S. and M.S. degree in Computer Science at Nanjing University in 2009 and 2012, respectively. My master advisor was Prof. Tong Lu.