Richard He Bai
Research Scientist at Apple MLR. I build efficient, simple methods for LLMs across modalities: low-latency speech models (dMel, SpeakStream) and post-training for code and agents (SSD, DuST, RSI-Inference Bench).
Expertise
Speech & Streaming Models
Post-training for Code
Self-Improving Agents
Synthetic Data
I completed my PhD in Computer Science at the University of Waterloo, with a dissertation titled "Novel Methods for Natural Language Modeling and Pretraining", under the supervision of Professor Ming Li. Prior to my doctoral studies, I obtained a Master's degree from the Chinese Academy of Sciences, where I began my NLP research journey under the mentorship of Professor Chengqing Zong.
