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, AI researcher, and entrepreneur whose work in machine learning and deep learning has helped shape the modern field of artificial intelligence. Raised across multiple countries before settling in the United States, Ng developed an early and enduring interest in mathematics and computing that would carry him from undergraduate study at Carnegie Mellon University to a faculty position at Stanford University and eventually to leadership roles at some of the most consequential technology organizations in the world. He co-founded Coursera, one of the world's largest online education platforms, and served as the founding lead of Google Brain, the deep learning research project that became central to Google's AI strategy. He later served as Chief Scientist at Baidu, where he oversaw a significant expansion of the company's artificial intelligence capabilities. Through his teaching, his research, and his entrepreneurial ventures, Ng has contributed substantially to making advanced technical education in AI accessible to a global audience.

Early Life

Andrew Yan-Tak Ng was born on April 18, 1976, in London, England, to parents of Hong Kong origin. His family relocated several times during his childhood, and he spent portions of his early years in both Hong Kong and Singapore before eventually moving to the United States for his university education. This international upbringing exposed Ng to diverse educational environments and cultures, an experience that would later inform his views on the global accessibility of education. His father was a physician, and the family's emphasis on academic achievement helped foster Ng's interest in science and mathematics from a young age. By the time he was ready for university, Ng had developed a particular focus on computer science, gravitating toward theoretical questions about how machines might be made to learn from data rather than from explicit programmed instructions.

Education

Ng completed his undergraduate studies at Carnegie Mellon University in Pittsburgh, Pennsylvania, where he studied computer science. He then pursued graduate studies at the Massachusetts Institute of Technology, where he earned a Master of Science degree. Ng subsequently completed his Ph.D. in computer science at the University of California, Berkeley, where his doctoral research focused on reinforcement learning and probabilistic approaches to machine learning. His graduate training placed him at the intersection of statistics, optimization theory, and computational modeling — areas that would define the trajectory of his subsequent career. After completing his doctorate, Ng joined the faculty at Stanford University, where he would spend a foundational period of his professional life.

Career

Stanford University

Ng joined the Stanford University Department of Computer Science as a faculty member, eventually becoming an associate professor. At Stanford, he established the Stanford Artificial Intelligence Laboratory (SAIL) and conducted influential research on the application of deep learning to a range of problems including computer vision, natural language processing, and robotics. His research group made notable contributions to the use of unsupervised learning with large neural networks, demonstrating that such networks could develop useful internal representations of data when trained on sufficiently large and varied datasets. His work during this period helped lay conceptual groundwork for what would later be described as the deep learning revolution in AI.

Beyond research, Ng became recognized as an effective and accessible teacher. His machine learning course at Stanford drew large enrollments and was regarded by students as one of the clearest available introductions to the subject. It was the decision to offer that course online in 2011 that would lead directly to one of the most consequential developments of his career.

Coursera

In 2012, Ng co-founded Coursera alongside fellow Stanford computer science professor Daphne Koller. The platform was built around the concept of massive open online courses (MOOCs), which enabled learners anywhere in the world with an internet connection to access university-level instruction at little or no cost. Coursera attracted millions of enrolled students within its first year of operation and secured partnerships with dozens of major research universities across the United States and internationally. The platform went on to become one of the most widely used online education services in the world, expanding its offerings beyond individual courses to include full degree programs offered in partnership with accredited universities. Ng served as co-chairman and later stepped back from day-to-day operations, though he remained a public advocate for the platform's educational mission.

Google Brain

In 2011, while still maintaining his Stanford affiliation, Ng co-founded the Google Brain project at Google in collaboration with Jeff Dean and Greg Corrado. The project set out to explore whether very large-scale neural networks, trained on massive quantities of unlabeled data using Google's computational infrastructure, could learn meaningful representations without human supervision. A landmark result from the project involved a neural network that, after training on millions of frames drawn from YouTube videos, spontaneously developed an internal representation for the concept of a cat — without ever being told what a cat was. The result received significant media attention and helped accelerate broader interest in deep learning among both academic researchers and technology companies. Google Brain subsequently grew into one of the most prominent AI research organizations in the technology industry.

Baidu

In 2014, Ng joined Baidu, the Chinese technology company, as Chief Scientist, relocating to the company's Silicon Valley AI laboratory in Sunnyvale, California. In this role, he oversaw Baidu's AI research teams both in the United States and in China, working to integrate deep learning capabilities into the company's core products, including its search engine, voice recognition systems, and autonomous driving research. Under Ng's scientific leadership, Baidu's AI research division grew substantially and the company published influential work in areas including speech recognition and computer vision. Ng departed from Baidu in March 2017, citing a desire to work on new projects.

AI Fund and DeepLearning.AI

Following his departure from Baidu, Ng founded AI Fund, a venture studio focused on building AI-driven companies across multiple industries. AI Fund operates by identifying high-potential applications of AI technology and building new companies around those applications from the ground up, rather than simply investing in existing startups.

In 2017, Ng also launched DeepLearning.AI, an educational technology company focused on providing structured AI education through online courses and specializations. The company's courses, distributed largely through the Coursera platform, have enrolled millions of learners globally and cover topics ranging from the mathematical foundations of neural networks to practical applications of AI in healthcare and other domains. Through DeepLearning.AI, Ng has continued to argue that broad access to AI education is essential to ensuring that the benefits of artificial intelligence are distributed widely rather than concentrated in a small number of organizations or geographic regions.

Landing AI

Ng also founded Landing AI, a company focused on helping established enterprises — particularly those in manufacturing, agriculture, and healthcare — apply AI and computer vision technologies to real-world operational problems. Landing AI has worked with companies across multiple sectors to implement AI-powered inspection systems, predictive maintenance tools, and other industrial applications. The company has emphasized the challenge of deploying AI systems in settings where labeled training data is scarce — a problem distinct from the large-scale data-rich environments of major internet companies — and has developed methodologies for small-data AI deployment that Ng has discussed extensively in public forums and publications.

Personal Life

Andrew Ng is married to Carol Reiley, a roboticist and entrepreneur who co-founded Drive.ai, a company focused on self-driving vehicle technology. The couple share professional interests in AI and robotics. Ng has spoken in interviews about the influence of his parents' emphasis on education and his multicultural upbringing on his views about knowledge-sharing and global access to learning. He has identified concerns about economic disruption caused by automation as among the most significant societal challenges associated with the development of AI, and has written and spoken publicly about the importance of retraining and education in preparing workforces for an AI-transformed economy.

Recognition

Ng has received numerous awards and honors in recognition of his contributions to computer science and artificial intelligence. He has been named to Time magazine's list of the 100 most influential people in the world. He has also been recognized by MIT Technology Review on its list of innovators and by Fortune magazine among the top figures in technology. Ng has delivered keynote addresses at major technical conferences including Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML). His machine learning course on Coursera has been cited as one of the most widely completed online courses in any field and has been credited by engineers, scientists, and executives across many industries as a formative introduction to the subject.

He has served on the boards of several technology organizations and has been involved in public policy discussions around AI governance, automation, and the ethical deployment of machine learning systems. Ng has argued in multiple forums that framing AI primarily through the lens of existential risk is a distraction from more immediate and tractable challenges such as algorithmic bias, labor market disruption, and data privacy.

Legacy

Andrew Ng's influence on the field of artificial intelligence operates across several distinct dimensions. As a researcher, his work contributed to the empirical validation of deep learning at a time when large neural networks were viewed skeptically by parts of the academic community. As an educator, his decision to publish his Stanford machine learning course online helped catalyze the MOOC movement and made substantive technical education available to learners who would not otherwise have had access to it. As an entrepreneur, his co-founding of Coursera and Google Brain, and his subsequent founding of DeepLearning.AI, Landing AI, and AI Fund, placed him at the intersection of research, commerce, and education in ways that few figures in AI have matched.

His public writing and speaking on the societal implications of AI has also contributed to broader conversations about how the technology should be developed and governed. Ng has consistently emphasized that the benefits of AI should not accrue only to wealthy nations or large corporations, and his educational work reflects a sustained effort to lower the barriers to AI literacy globally. Whether evaluated on the basis of technical contribution, institutional impact, or educational reach, his career represents a substantial and multi-faceted engagement with one of the defining technologies of the early twenty-first century.