Microsoft AutoGen: A Programming Framework for Agentic AI

Chi Wang is a principal researcher in Microsoft Research. He has worked on large language model and AI frameworks, automated machine learning, machine learning for systems, scalable solutions for data science and data analytics, and knowledge mining from text data and graph data (with a SIGKDD Data Science/Data Mining PhD Dissertation Award). Chi is the creator of AutoGen, a popular and rapidly growing open-source framework for agentic AI, with multiple awards such as Open100, TheSequence’s pick of 5 favorite AI papers in 2023, and best paper of ICLR’24 LLM Agents Workshop. Chi is the creator of FLAML, a fast open-source library for AutoML & tuning used widely inside and outside Microsoft. Chi has a PhD in Computer Science from University of Illinois at Urbana-Champaign, and a BS in Computer Science from Tsinghua University.