Andrew Ng

Andrew Ng
Born	Andrew Yan-Tak Ng 4/18/1976
Birthplace	London, England, United Kingdom
Nationality	British-American
Occupation	Computer scientist, AI researcher, entrepreneur
Employer	Stanford University; DeepLearning.AI
Known for	Deep learning; Coursera; Google Brain; Baidu AI Group
Education	Carnegie Mellon University (B.S.) Massachusetts Institute of Technology (M.S.) University of California, Berkeley (Ph.D.)
Website	andrewng.org

Andrew Yan-Tak Ng (born April 18, 1976) is a British-American computer scientist and AI researcher who's fundamentally changed how we think about machine learning and deep learning. His work across academia, industry, and education has shaped modern artificial intelligence in ways that continue to ripple outward. Raised in multiple countries before settling in the United States, he developed a passion for mathematics and computing early on, one that carried him from Carnegie Mellon through Stanford and into leadership roles at some of the world's most influential tech organizations. He co-founded Coursera, now one of the world's largest online education platforms. He also founded Google Brain, Google's flagship deep learning research project. Later, he served as Chief Scientist at Baidu, overseeing major expansions in the company's AI capabilities. Through teaching, research, and entrepreneurial work, Ng's made advanced AI education accessible to millions globally.

Early Life

Andrew Yan-Tak Ng was born April 18, 1976, in London to parents of Hong Kong origin. His family moved frequently during his childhood. He spent years in both Hong Kong and Singapore before coming to the United States for university. That international upbringing exposed him to different educational systems and cultures, shaping his later views on education access worldwide. His father was a physician, and the family valued academic achievement deeply. That emphasis helped spark young Andrew's interest in science and mathematics. By university time, he'd focused on computer science, specifically on theoretical questions about how machines could learn from data rather than follow explicit instructions.

Education

Ng studied computer science at Carnegie Mellon University in Pittsburgh, Pennsylvania, completing his undergraduate degree there. He then earned a Master of Science at MIT. His Ph.D. in computer science came from UC Berkeley, where his doctoral work focused on reinforcement learning and probabilistic approaches to machine learning. That graduate training put him at the crossroads of statistics, optimization theory, and computational modeling. These areas would shape everything he did next. After his doctorate, Ng joined Stanford's faculty, beginning what would become a foundational period in his professional life.

Career

Stanford University

At Stanford's Department of Computer Science, Ng became an associate professor and established the Stanford Artificial Intelligence Laboratory (SAIL). His research explored how deep learning could solve problems in computer vision, natural language processing, and robotics. His group showed that unsupervised learning with large neural networks could work. They demonstrated that such networks could develop useful internal representations of data when trained on large, varied datasets. This period laid conceptual groundwork for what later became the deep learning revolution.

But Ng wasn't just a researcher. He was also a genuinely great teacher. His machine learning course drew huge enrollments and students called it the clearest introduction to the subject available anywhere. In 2011, he made the decision to offer that course online. That decision would change everything.

Coursera

In 2012, Ng co-founded Coursera with fellow Stanford computer science professor Daphne Koller. The platform was built on massive open online courses (MOOCs), which let learners anywhere with internet access get university-level instruction cheaply or free. Within its first year, Coursera had millions of enrolled students. It partnered with dozens of major universities across the U.S. and internationally. Today it's one of the world's most widely used online education services, offering not just individual courses but full degree programs through accredited universities. Ng served as co-chairman and eventually stepped back from day-to-day work, though he's remained a vocal advocate for the platform's mission.

Google Brain

In 2011, while still at Stanford, Ng co-founded Google Brain at Google with Jeff Dean and Greg Corrado. The goal was simple but ambitious: could very large neural networks, trained on massive amounts of unlabeled data using Google's computing power, learn meaningful representations without any human supervision? The answer came from one landmark result. A neural network trained on millions of YouTube video frames spontaneously developed an internal representation of a cat. Nobody told it what a cat was. It just figured it out. That result got major media attention and accelerated interest in deep learning across academia and industry. Google Brain grew into one of the most prominent AI research organizations in tech.

Baidu

In 2014, Ng joined Baidu, the Chinese tech company, as Chief Scientist, moving to their Silicon Valley AI lab in Sunnyvale, California. He oversaw AI research teams in both the U.S. and China, integrating deep learning into Baidu's core products: search, voice recognition, autonomous driving. Under his scientific leadership, Baidu's AI division grew substantially and published influential work in speech recognition and computer vision. He left in March 2017, saying he wanted to pursue new projects.

AI Fund and DeepLearning.AI

After leaving Baidu, Ng founded AI Fund, a venture studio that builds AI-driven companies across multiple industries. Rather than just investing in existing startups, AI Fund identifies high-potential AI applications and builds new companies around them from scratch.

He also launched DeepLearning.AI in 2017, an educational tech company providing structured AI education through online courses and specializations. The company's courses, mostly through Coursera, have reached millions of learners globally, covering everything from neural network mathematics to practical AI applications in healthcare and other fields. Through DeepLearning.AI, Ng keeps arguing that broad access to AI education is essential. Without it, AI benefits concentrate in a few organizations and places. That's the real problem.

Landing AI

He also founded Landing AI, focused on helping established enterprises in manufacturing, agriculture, and healthcare apply AI and computer vision to real operational problems. Landing AI has built AI-powered inspection systems, predictive maintenance tools, and other industrial applications for companies across multiple sectors. The company has focused on a distinct problem: deploying AI systems where labeled training data is scarce. That's different from the data-rich environments of major internet companies. Landing AI developed methodologies for small-data AI deployment that Ng has discussed extensively in public talks and publications.

Personal Life

Ng is married to Carol Reiley, a roboticist and entrepreneur who co-founded Drive.ai, which works on self-driving vehicles. They share professional interests in AI and robotics. In interviews, Ng has spoken about how his parents' focus on education and his multicultural background shaped his views on knowledge-sharing and global learning access. Economic disruption from automation concerns him deeply. He's written and spoken publicly about why retraining and education matter for preparing workforces for an AI-transformed economy.

Recognition

Ng has received numerous awards for his contributions to computer science and artificial intelligence. Time magazine named him one of the 100 most influential people in the world. MIT Technology Review listed him among innovators, and Fortune ranked him among top technology figures. He's given keynote addresses at major technical conferences including Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML). His Coursera machine learning course is one of the most widely completed online courses ever. Engineers, scientists, and executives across many industries cite it as their introduction to the subject.

Ng has served on technology organization boards and participated in public policy discussions about AI governance, automation, and ethical machine learning deployment. He's argued repeatedly that focusing primarily on existential AI risk distracts from more immediate challenges: algorithmic bias, labor market disruption, and data privacy.

Legacy

Ng's influence on artificial intelligence spans several dimensions. As a researcher, he validated deep learning empirically when large neural networks were viewed skeptically by many academics. As an educator, his decision to publish his Stanford course online helped spark the MOOC movement and made real technical education available to people who'd never have accessed it otherwise. As an entrepreneur, his work co-founding Coursera and Google Brain, then later founding DeepLearning.AI, Landing AI, and AI Fund, positioned him at the intersection of research, commerce, and education in ways few AI figures have matched.

His public writing and speaking on AI's societal impact has also shaped broader conversations about how the technology should be developed and governed. Ng consistently argues that AI benefits shouldn't accrue only to wealthy nations or large corporations. His educational work reflects sustained effort to lower global barriers to AI literacy. Whether measured by technical contribution, institutional impact, or educational reach, his career represents substantial, complex engagement with one of the defining technologies of the early twenty-first century.