Pushmeet Kohli

Pushmeet Kohli is highly regarded Computer and Machine Learning scientist and at Google DeepMind where he holds the position of Vice President of research for the "Secure and Reliable AI" and "AI for Science and Sustainability". Before joining DeepMind, he was partner scientist and director of research at Microsoft Research and a post-doctoral fellow at the University of Cambridge. Kohli's research investigates applications of machine learning and computer vision. He has also made contributions in game theory, discrete algorithms and psychometrics.

Education
Kohli was educated at National Institute of Technology, Warangal and Oxford Brookes University where his PhD awarded in 2007 was supervised by Philip Torr. He was a Postdoctoral fellow at University of Cambridge.

Career and research
Current and previous research projects include:
 * AlphaFold - breakthrough AI system for protein structure prediction
 * AlphaTensor - a reinforcement learning agent that found new efficient algorithms for matrix multiplication
 * SynthID - system for watermarking AI generated images.
 * AlphaMissense - AI model for predicting the effect of missense mutations in the genome
 * AlphaCode - Competition-level code generation with AI
 * FunSearch - Discovering algorithms by using LLMs to search over program space.
 * Neural Program Synthesis
 * Probabilistic Programming
 * 3D-scene Reconstruction and Understanding
 * Community based Crowdsourcing of Data for Training AI Models
 * Behavioral analysis and Personality prediction using on Online networks
 * Human Pose Estimation using the Kinect
 * Video Editing (Unwrap Mosaics)

Other AI for Science projects include


 * Learnt Magnetic confinement control for Fusion
 * Learnt Density Functional for solving the fractional electron problem

Awards and Honors
Kohli was listed by Time magazine as one of the 100 most influential people in AI.

The impact of AlphaFold has seen it result its leads, Demise Hassabis and John Jumper, being awarded by numerous prizes including the prestigious Breakthrough prize, Lasker award, and Wolfe prize.

Pushmeet's research in computer vision and machine learning has been recognized by a number of scientific awards and prizes. Some notable ones include:


 * Koenderink Prize (test of time award) by the European Conference of Computer Vision
 * British Machine Vision Association and Society for Pattern Recognition (BMVA) Sullivan Prize for the best PhD thesis.
 * IEEE Mixed Augmented Reality (ISMAR) Impact Paper award
 * Lasting Impact Award by the ACM Symposium on User Interface Software and Technology
 * Best paper award at the International World Wide Web Conference 2014
 * Best paper award in the European Conference on Computer Vision (ECCV) 2010
 * Best paper award in the Conference on Uncertainty in Artificial Intelligence (UAI)