Tejas Kulkarni

Scientist at Google DeepMind

Cambridge, Massachusetts, United States · 1 connection

Common Sense Machines

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About

Understanding our minds and brains to create AI. Personal URL: My research has led to the development of basic ideas in the integrative space of Deep Learning, Reinforcement Learning, Probabilistic Programming and Cognitive Science. Research Areas: Computer Vision, Robotics, Language and Simulation (Graphics, Games, AR, VR).

Experience

Co-Founder and CEOCommon Sense Machines
Aug 2020 to Jan 2026

ScientistGoogle DeepMind
Jan 2026

Senior Research ScientistGoogle DeepMind
Mar 2018 to Nov 2019

Research ScientistGoogle DeepMind
Jul 2016 to Mar 2018

PHDMassachusetts Institute of Technology
Aug 2012 to Jul 2016

Research InternshipGoogle
May 2015 to Aug 2015

EngineeringQualcomm
May 2010 to May 2012

Education

Massachusetts Institute of Technology
Doctor of Philosophy (PhD) Artificial Intelligence Neuroscience
2012 to 2016

Purdue University
BS School of Electrical and Computer Engineering
2007 to 2010