I am Research Scientist in the Robotics team at Google DeepMind where I lead Safety and Alignment Research for Gemini Robotics.
I draw inspiration from learning, perception, reasoning and motor-control problems that a human child can solve but a machine currently cannot. I am interested in all aspects of building large-scale, safe and robust AI systems.
Vikas Sindhwani is Research Scientist at Google DeepMind in New York where he leads the Robotics Safety and Alignment Team. His interests are broadly in core mathematical foundations of machine learning, and in end-to-end design aspects of building large-scale, safe and robust AI systems. His work has received the Best Paper Award at Uncertainty in Artificial Intelligence (UAI-2013); the IBM Pat Goldberg Memorial Award in 2014; the Best Paper Award for Robot Manipulation at ICRA-2024; the Best RoboCup Paper Award at IROS-2024; and nomination for Outstanding Planning Paper Award at ICRA-2022. He previously headed the Machine Learning group at IBM Research, NY. He has a PhD in Computer Science from the University of Chicago and a B.Tech in Engineering Physics from Indian Institute of Technology (IIT) Mumbai.
