Aiden Chaoyang He
Co-founder & CEO of Teamily AI, TensorOpera AI, and FedML
Ph.D. in Computer Science
University of Southern California, Los Angeles, USA
Home & office: Palo Alto, California, 94303
Aiden Chaoyang He is an international entrepreneur, AI scientist, and full-stack software engineer. He is now Co-founder & CEO of Teamily AI, TensorOpera AI, and FedML, building personal AGI through co-optimization across agentic AI apps, multi-agent multi-model agentic AI infrastructure, and proprietary model training. Teamily AI is the personal and social AI OS to create, share, and explore anything for productivity and creativity; TensorOpera AI and FedML together provide a full-stack multi-agent multi-model AI platform for enterprises to enjoy cheaper, faster, and more scalable agents and models.
Previously, he worked closely with researchers/engineers at Google, Facebook, and Amazon (2018-2022). At Meta (2020–2021), he worked with the PyTorch team on distributed training for foundation models including BERT and Vision Transformers, publishing “PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers” (ICML 2021) and “PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls” (MLSys 2023), with both works highlighted on the official PyTorch.org blog. At Google (2019–2020), he contributed to federated learning research, co-authoring the landmark papers “Advances and Open Problems in Federated Learning” (FnTML 2021) and “A Field Guide to Federated Optimization.”. His contributions to distributed/federated learning such as PyTorch Distributed have become a foundational backbone of modern LLM training and serving infrastructure.
He was also 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). 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.
His research has received ~20,000 citations, focusing on machine learning, LLM, multi-agent systems, and distributed/federated machine learning. For these topics, he has published papers at ICML, NeurIPS, CVPR, ICLR, AAAI, MLSys, and VLDB, among others. Besides pure research, 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 (UIUC).
[Biography]
News
- 06/01/2023: A new milestone: FedML Inc. has raised 13M+ USD with a high valuation, which is a significant milestone during this time of decreased market valuations. FedML is going beyond only federated machine learning solutions (remember “F” also stands for Foundation Model), and we will leverage the funding to further enhance our products in MLOps, LLMOps, distributed/federated AI (training/serving/app tooling), and innovations around an AI marketplace!
- 01/01/2023: My Google Scholar Statistics: H-index 20+, Citations 5000+. This was done in just 3 years (my first paper submission is in 2020); before running a company, my topics cover in both machine learning and industrial grade systems: primarily in distributed training of foundation models, federated learning, NLP, and CV.
- 12/12/2022: [Family] My second child was born in New Port, Orange County, California, and now his older sister has a younger brother to play with:-)
- 04/15/2022: New Startup Brings AI to the People and Organizations
- 04/01/2022: quantitative summarization of Ph.D. (as of March 2022): 30+ Publications, Google Scholar h-index 12, Citations 2500+, 1 US Patent, 2 PhD Fellowships from Amazon and Qualcomm, 5+ invited talks from Facebook, Amazon, Stanford, USC ISI; Funding raised with my advisors: several grants and startup (> $3M USD)
- 03/25/2022: I passed my Ph.D. defense. See my acknowledgment here. The thesis manuscript is maintained here.
- 09/01/2021: Thanks Amazon and Qualcomm for supporting my PhD with two fellowships.
- 08/05/2021: Invited Talked at Stanford MLSys [youtube recording] about Distributed ML System and Federated Learning [slides].
- 06/01/2020: [Family] Congratulations to my wife! She got her 2nd master’s degree in the US (from USC; yes, we are alumni for the 2nd time) and started to work in California.
- 8/2/2018: Joined USC in August 2018. My family likes Los Angeles, it’s a great place to balance work and family.
- 12/1/2017: I started to lead a Data Mining and data platform team at Tencent Cloud
- 04/15/2017: I received PhD offers from CMU, USC, Georgia Tech, and UCSB.
- 6/1/2015: I was promoted to Team Manager(L1-2) to manage a software development team including 10+ engineers.
- 2012-2014: worked as a technical leader at Baidu