RPA Influencers

Oriol Vinyals

Oriol Vinyals is a research expert on Deep Learning at Google DeepMind. His research is focused on the implementation and development of machine learning, neural networks, and reinforcement learning.

Social Media Accounts


Get your Free Digital Adoption Certificate



  • Research Scientist
  • Machine Learning
  • Deep Learning


Oriol Vinyals grew up in Barcelona, Spain. He finished his undergraduate studies in telecommunication engineering and mathematics. Later on, Oriol finished my Master’s degree Computer Science and Engineering from the University of California UC San Diego in 2009, and moved to Berkeley for his Ph.D.

Currently, Oriol Vinyals is  a PhD student in the Electrical Engineering & Computer Science department at the University of California, Berkeley.

Milestones in life

  • Interdisciplinary Topics Expert

Oriol is a interdisciplinary topics expert which he cover subjects like Speech Recognition and Signal Processing under Nelson Morgan’s supervision, TeleImmersive technologies with Ruzena Bajcsy, and Computer Vision and Machine Learning with Trevor Darrell. Moreover, he is a recipient of the 2011 Microsoft Research Ph.D. Fellowship

  • .Researcher

Oriol spend many years as a researcher for advanced technology like Artificial Intelligence, Speech Recognition, Speaker Diarization, Machine Learning, Computer Vision and Optimization. He is also working on those topics for his Ph.D. projects, creating an AI that can make its own real time strategy game.

  • Google DeepMind

Vinyals is a research scientist at Google DeepMind. His topics are around Deep Learning technology. With the success of his research, he has been featured at the BBC, New York Times, and many more. Also, Vinyals’s articles and research were cited over 29,000 times.


Oriol Vinyals has not yet released any books or publication.

Top Articles

  1. Algorithms and Theory
  2. Distributed Systems and Parallel Computing
  3. Machine Intelligence
  4. Machine Perception
  5. Machine Translation
  6. Natural Language Processing


“Remember when we could fit #ICLR in a single stadium?”

“Failing” is too often portrayed as something negative. Failures, and not successes, have been a higher drive for me both personally and professionally (and there have been plenty!). If you never fail, you are doing it wrong”