Andrew Ng

Andrew Ng
TechCrunch · CC BY 2.0 · source
Name	Andrew Ng
Birth date	1976
Birth place	London
Nationality	United States
Fields	Machine learning, Artificial intelligence
Workplaces	Stanford University, Google, Baidu, Coursera, Deeplearning.ai, Landing AI
Alma mater	Carnegie Mellon University, Massachusetts Institute of Technology, University of California, Berkeley
Doctoral advisor	Michael I. Jordan

Andrew Ng Andrew Ng is a computer scientist and entrepreneur known for contributions to machine learning, deep learning, and online education. He has held academic posts at Stanford University and leadership roles at Google and Baidu, founded companies and initiatives including Coursera and Deeplearning.ai, and produced influential research and courses that shaped modern artificial intelligence practice. Ng's work bridges research, industry deployment, and public teaching across global technology and academic institutions.

Early life and education

Ng was born in London and raised in Hong Kong and Singapore, later moving to the United States for higher education. He studied at Carnegie Mellon University where he earned a degree in computer science and electrical engineering, and then completed a master's degree at the Massachusetts Institute of Technology. He obtained his Ph.D. in computer science from the University of California, Berkeley under the supervision of Michael I. Jordan, with doctoral work connecting reinforcement learning, statistical learning theory, and robotics.

Academic career

Ng joined the faculty of Stanford University as an assistant professor in the Department of Computer Science and the Department of Electrical Engineering, becoming a prominent researcher in machine learning and robotics. At Stanford University he directed the Stanford Artificial Intelligence Laboratory and co-led projects that connected academic research with large-scale applications, collaborating with groups associated with Google Research, Microsoft Research, and industrial labs. His students and collaborators have included researchers who later joined institutions such as DeepMind, OpenAI, and NVIDIA Research. Ng taught core courses that influenced curricula at Massachusetts Institute of Technology and other universities through shared materials and cross-institutional seminars.

Industry and entrepreneurial ventures

Ng served as chief scientist at Baidu where he led the company's Artificial Intelligence Group and advanced projects in speech recognition, computer vision, and autonomous driving. Previously, he co-founded Google Brain, an internal research team at Google that demonstrated large-scale deep learning models on distributed infrastructure, collaborating with engineers from Google X and TensorFlow teams. He co-founded Coursera with colleagues from Stanford University to deliver massive open online courses, later founding deeplearning.ai to provide specialized deep learning training and Landing AI to help enterprises adopt AI technologies. Ng has advised startups in Silicon Valley and worked with venture firms and incubators connected to Y Combinator and Sequoia Capital.

Research contributions and publications

Ng's research spans supervised and unsupervised learning, deep learning, reinforcement learning, computer vision, and robotics. Key publications include seminal papers on sparse autoencoders, large-scale neural networks from the Google Brain project, and transfer learning techniques later adopted by practitioners at Facebook AI Research and Microsoft Research. He co-authored influential tutorials and survey chapters used in curricula at Stanford University and cited in work from Carnegie Mellon University and MIT. Ng's group released benchmark datasets and open-source implementations that influenced platforms such as TensorFlow, PyTorch, and libraries from NVIDIA. His work on representation learning and model scalability contributed to advances applied in products developed by Apple, Amazon Web Services, and Uber ATG.

Teaching, MOOCs, and public outreach

Ng pioneered large-scale online education through the launch of foundational courses on Coursera, including an introductory machine learning course that became one of the most-enrolled MOOCs globally. The course materials and assignments informed programs at Stanford University, Harvard University, and Princeton University, and were translated by volunteer communities in collaboration with organizations like Khan Academy and edX. Ng produced follow-up specials and professional certificates through deeplearning.ai covering convolutional networks, sequence models, and deployment best practices used by learners at Intel, IBM, and Microsoft. He has delivered keynote talks at conferences such as the Conference on Neural Information Processing Systems, International Conference on Machine Learning, and CVPR, and has participated in panels with leaders from UNESCO and the World Economic Forum on AI policy and workforce development.

Awards and honors

Ng's recognitions include early-career and mid-career awards from professional societies and academic institutions, invitations to speak at prestige events like the Royal Society lectures, and listings in technology rankings by outlets such as Forbes and MIT Technology Review. He has been named among influential technologists by publications and received awards for educational impact tied to Coursera and online pedagogy initiatives. Ng holds honorary positions and fellowships with research centers affiliated with Stanford University and collaborates with advisory boards at institutions including Carnegie Mellon University and Tsinghua University.

Category:Computer scientists Category:Artificial intelligence researchers Category:Stanford University faculty