Kaili Huang
Applied Scientist @ Microsoft. MSCS @ Stanford. BE @ Tsinghua.

I am an enthusiastic machine learning engineer and researcher. My interests span natural language processing, large language models, information retrieval, multi-modality, question answering, dialog systems, etc.
I am working at Microsoft as an Applied Scientist, where I work on natural language processing and multi-modality modeling. I graduated from Stanford University with a master’s degree in Computer Science. Before attending Stanford, I received my bachelor’s degree from Tsinghua University, and then worked at ByteDance as a Machine Learning Engineer for 1 year.
news
Apr 06, 2025 | We are excited to announce that our latest research, ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring, was recently accepted and presented at the 47th European Conference on Information Retrieval (ECIR 2025). Our work introduces a new method for making state-of-the-art neural search more efficient and scalable. |
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