Co-founder and CTO at FedML, Inc.
Chaoyang He is Co-founder of FedML, Inc. (raised 13M+ USD in SEED round), a Silicon Valley-based company building machine learning infrastructure to train, serve, and deploy AI models easily, economically, and securely, with holistic support of high-performance ML libraries, user-friendly AIOps, and a well-managed distributed GPU Cloud. Previously, he worked closely with researchers/engineers at Google, Facebook, and Amazon. He was an R&D Team Manager and Principal Software Engineer at Tencent (2014-2018), a Team Leader and Senior Software Engineer at Baidu (2012-2014), and a Software Engineer at Huawei (2011-2012). He has received a number of awards in academia and industry, including the Amazon ML Fellowship (2021-2022), Qualcomm Innovation Fellowship (2021-2022), Tencent Outstanding Staff Award (2015-2016), WeChat Special Award for Innovation (2016), Baidu LBS Group Star Awards (2013), and Huawei Golden Network Award (2012). His research focuses on machine learning, distributed systems, blockchain, edge/cloud computing, primarily distributed/federated machine learning, and efficient distributed training of large foundation models (LLM, Vision Transformer). For these topics, he has published papers at ICML, NeurIPS, CVPR, ICLR, AAAI, MLSys, and VLDB, among others. Besides pure research, he has experience in Internet-scale products and businesses such as Tencent Cloud, Tencent WeChat Automotive / AI in Car, Tencent Games, Tencent Maps, Baidu Maps, and Huawei Smartphone. He received his Ph.D. in Computer Science from the University of Southern California, Los Angeles, USA, advised by Salman Avestimehr (USC), Professor Mahdi Soltanolkotabi (USC), Professor Murali Annavaram (USC), and Professor Tong Zhang (HKUST).