Andrew Y. Ng

Andrew Y. Ng
Name	Andrew Y. Ng
Birth date	1976
Birth place	London
Citizenship	United States
Fields	Computer science, Artificial intelligence, Machine learning
Institutions	Stanford University, Google, Baidu, Coursera, Google Brain
Alma mater	Carnegie Mellon University, Massachusetts Institute of Technology
Doctoral advisor	Michael I. Jordan

Andrew Y. Ng is a computer scientist, educator, and entrepreneur known for contributions to machine learning, deep learning, and online education. He has held academic positions, led industrial research groups, and co-founded initiatives that shaped contemporary artificial intelligence deployment in both academia and industry. Ng's work spans foundational research, scalable systems, and public-facing education efforts.

Early life and education

Ng was born in London and raised in Hong Kong and Singapore, before moving to the United States for higher education. He earned a Bachelor of Science degree from Carnegie Mellon University where he studied under faculty in Computer science and related engineering departments. Ng completed his Ph.D. at the Massachusetts Institute of Technology under the supervision of Michael I. Jordan, focusing on machine learning and robotics. During his doctoral studies he collaborated with researchers associated with Stanford University and participated in conferences sponsored by organizations like the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers.

Academic career and research

Ng served as an assistant and later associate professor at Stanford University in the Department of Computer Science and the Stanford Artificial Intelligence Laboratory (SAIL), where he taught courses and advised graduate students. His research portfolio includes work on unsupervised learning, deep neural networks, computer vision, and robotics, with influential papers published at venues such as NeurIPS, ICML, and CVPR. Ng co-directed the Stanford AI Lab and collaborated with colleagues from institutions including Princeton University, University of California, Berkeley, University of Toronto, and University of Montreal. His academic output influenced algorithmic developments used by teams at Microsoft Research, Facebook AI Research, and OpenAI.

Ng was instrumental in pioneering scalable approaches to training large-scale neural networks, collaborating with researchers from Google Research and the Google Brain team. He worked on techniques related to unsupervised feature learning and sparse autoencoders, and his students and coauthors have included members who later joined groups at DeepMind, Amazon Web Services, and NVIDIA Research. Throughout his academic career he served on program committees for major conferences organized by NeurIPS Foundation, International Joint Conferences on Artificial Intelligence, and ACL.

Industry ventures and entrepreneurship

Ng co-founded Google Brain, a project within Google that combined large-scale computing with neural network research, collaborating with engineers and researchers at Stanford University, University of California, Berkeley, and Princeton University. He later served as Chief Scientist at Baidu, where he led the Baidu Research Silicon Valley AI Lab and directed efforts in speech recognition, computer vision, and natural language processing projects with engineering teams spanning China and the United States. Ng co-founded Coursera, an online education platform developed with faculty from Stanford University including Daphne Koller, to offer massive open online courses in partnership with institutions such as Yale University, University of Michigan, and University of Pennsylvania.

He founded Landing AI, a company focused on helping enterprises adopt AI solutions, collaborating with manufacturing partners, healthcare organizations like Mayo Clinic, and supply-chain firms. Ng also launched initiatives like Deeplearning.ai to provide specialized training programs, often partnering with firms such as Intel Corporation, IBM, and cloud providers like Amazon Web Services and Google Cloud Platform to enable scalable model training and deployment.

Leadership and public engagement

Ng has been a visible public figure advocating for accessible AI education, workforce reskilling, and responsible adoption of machine learning technologies. He has lectured at venues including TED, the World Economic Forum, and university commencements, and has consulted with policymakers from entities like the United Nations and national science agencies. Ng has worked with industry consortia such as Partnership on AI and participated in advisory roles engaging stakeholders from Silicon Valley firms, academic institutions, and government research labs.

Through Coursera and Deeplearning.ai, Ng led the development of popular online courses that reached millions of learners across platforms and partnerships with universities such as Stanford University, Princeton University, and Johns Hopkins University. His outreach included collaborations with organizations focused on workforce development like LinkedIn and philanthropic foundations such as the Bill & Melinda Gates Foundation to broaden access to technical education.

Awards and honors

Ng's recognitions include listings and awards from academic and industry organizations. He has been named in influential lists compiled by Time (magazine), recognized by MIT Technology Review, and received awards from professional societies including the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers for contributions to machine learning and online education. His work with Coursera and AI research has been cited in contexts involving National Academy of Engineering conversations and invited talks at institutions like Harvard University and Yale University.

Personal life and philanthropy

Ng lives in the United States and has engaged in philanthropic efforts related to education, AI safety, and global health. He has supported initiatives involving educational access through partnerships with foundations such as the Gates Foundation and civic organizations in regions including Southeast Asia and Africa. Ng maintains ties with academic mentors and collaborators from institutions like Carnegie Mellon University, Massachusetts Institute of Technology, and Stanford University and continues to advise startups and research groups across the technology ecosystem.

Category:Computer scientists Category:Artificial intelligence researchers