- Founder, DeepLearning.AI1
- Adjunct Professor (formerly Director of the Stanford AI Lab), Stanford University1
- Chairman and Co-Founder, Coursera1
- Managing General Partner, AI Fund14
Andrew Ng is the Founder of DeepLearning.AI, Managing General Partner at AI Fund, Managing Partner at AI Aspire, Executive Chairman of LandingAI, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University, where Ng was formerly Director of the Stanford AI Lab. Ng was the founding lead of the Google Brain team and served as VP and Chief Scientist at Baidu. Ng co-authored the latent Dirichlet allocation paper (2003) and "Large Scale Distributed Deep Networks" (NIPS 2012), and Ng's site says Ng now focuses primarily on AI training and entrepreneurial ventures.123
At a glance
- Current roles
- Founder +3 more
- Companies
- DeepLearning.AI, Stanford University, Coursera, AI Fund
- Sector
- Company
- Education
- Carnegie Mellon, MIT, Stanford, UC Berkeley
- Work listed
- 2
- Honors
- 1
- Sources cited
- 7
- Profile reviewed
Career
Andrew Ng was Director of the Stanford AI Lab and remains an Adjunct Professor at Stanford University. Ng was the founding lead of the Google Brain team and later served as Vice President and Chief Scientist at Baidu, where Ng led the company's AI team.1
Ng's current roles span education and company building: founder of DeepLearning.AI, Managing General Partner at the venture studio AI Fund, Managing Partner at the AI Aspire advisory firm, Executive Chairman of LandingAI, and Chairman and co-founder of Coursera. AI Fund describes its approach as co-founding companies alongside entrepreneurs from the earliest stage.14
Teaching and online education
In 2011 Ng taught an online machine learning course at Stanford, one of the first massive open online courses, and the following year co-founded Coursera with Daphne Koller. In 2017 Ng founded DeepLearning.AI, which offers short courses and professional certificates built with technology companies.5
Featured courses listed on Ng's site include the Machine Learning Specialization with Stanford Online, the Deep Learning Specialization, AI For Everyone and Generative AI for Everyone.5
Research
Ng's research page describes work in machine learning, robotics, computer vision and natural language processing, from the Stanford AI Lab and the Google Brain project to applied research at Baidu. Early papers include latent Dirichlet allocation with David Blei and Michael Jordan (2003) and the 2012 DistBelief paper on training large deep networks across computing clusters.623
Recent co-authored work listed on the same page includes MedAgentBench, a virtual electronic-health-record environment for benchmarking medical language-model agents (2025), a global database of methane-emitting infrastructure (METER, 2026), and deep learning on satellite imagery for mapping natural gas compressor stations (2025).6
Work and contributions
Large Scale Distributed Deep Networks Published research
Co-author with Jeffrey Dean, Greg Corrado, Quoc V. Le and others of the NIPS 2012 paper that describes DistBelief, a software framework for training large deep networks on computing clusters.3
Latent Dirichlet Allocation Published research
Co-author with David M. Blei and Michael I. Jordan of "Latent Dirichlet Allocation" (Journal of Machine Learning Research, 2003).2
Timeline
- Co-authored "Latent Dirichlet Allocation" in the Journal of Machine Learning Research.2
- Received the IJCAI Computers and Thought Award.7
- Taught an online machine learning course at Stanford, one of the first massive open online courses.5
- Co-founded Coursera with Daphne Koller.51
- Co-authored "Large Scale Distributed Deep Networks" at NIPS 2012, describing the DistBelief framework.3
- Founded DeepLearning.AI to make AI education more accessible.5
Other documented roles
Roles the sources document that are not confirmed as current.
- Founding lead of the Google Brain team, Google (Google Brain team)1
- Vice President and Chief Scientist, Baidu1
Honors and recognition
- IJCAI Computers and Thought Award · International Joint Conferences on Artificial Intelligence, 20097
Where they work
- DeepLearning.AI 1 person in the wiki
- Stanford University 40 people in the wiki
- Coursera 1 person in the wiki
- AI Fund 1 person in the wiki
Related people
- Emily WebberTraining systems · Teaching and writing
- Sylvain GuggerTraining systems · Teaching and writing
- Mu LiTeaching and writing · Training systems
- Jeremy HowardTraining systems · Teaching and writing
- Brian Van EssenTraining systems
- Azeem AzharTeaching and writing
- Matthew BermanTeaching and writing
- Hayden FieldTeaching and writing
- Matei ZahariaTraining systems
- David SilverTeaching and writing
Suggest a correction or removal
Profiles cover public professional work only, and each statement cites a source. If something is out of date, missing or wrong, tell us and link a source. People can also ask for their profile to be corrected or removed.
References
7 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026