Gaurav Bharaj

Gaurav Bharaj is a highly skilled individual who develops tools to address complex computing challenges using deep learning, numerical optimization, and generative modeling.

His academic journey includes a Doctor of Philosophy (PhD) in Computer Science from Harvard University, a Bachelor of Technology (BTech) in Computer Science from Punjabi University, and a Master of Science in Computer Science from the University of Pennsylvania.

Gaurav has held various key positions in prestigious organizations, serving as the Director of Research at The AI Foundation, a Scientific Advisor, Senior Research Scientist, and Research Fellow at the same institution. He has also worked as a Senior Researcher at Technicolor and engaged in research work at Intel Corporation, Adobe, Disney Research, and the Max Planck Institute for Informatics. Additionally, he has taught as a Graduate Teaching Fellow and a Teaching Fellow at Harvard University, where he also served as a Research Engineer.

His expertise lies in leveraging deep learning, numerical optimization, and generative modeling to create innovative solutions in the field of computer science. Gaurav Bharaj's varied experience in research and industry positions him as a well-rounded professional with a deep understanding of cutting-edge technologies and methodologies.

With a strong educational background and extensive experience in both research and industry settings, Gaurav Bharaj continues to make significant contributions to the field of computer science and artificial intelligence.