Pushmeet Kohli
Alma materTrinity Hall
University of Cambridge
National Institute of Technology, Warangal
Oxford Brookes University (PhD)
Scientific career
FieldsMachine learning
Artificial intelligence
Computer vision[1]
InstitutionsGoogle
DeepMind
ThesisMinimizing dynamic and higher order energy functions using graph cuts (2007)
Doctoral advisorPhilip Torr[2]
Websiteresearch.google/people/105667

Pushmeet Kohli is a computer scientist 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".[3] 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.[1][4] He has also made contributions in game theory, discrete algorithms and psychometrics.[5]

Education

Kohli was educated at National Institute of Technology, Warangal and Oxford Brookes University where his PhD awarded in 2007[6] was supervised by Philip Torr.[2] He was a Postdoctoral associate at Trinity Hall, University of Cambridge.[7]

Career and research

Current and previous research projects include:

  • AlphaFold - breakthrough AI system for protein structure prediction[8]
  • AlphaTensor - a reinforcement learning agent that found new efficient algorithms for matrix multiplication[9]
  • SynthID - system for watermarking AI generated images.[10]
  • AlphaMissense - AI model for predicting the effect of missense mutations in the genome [11][12]
  • AlphaCode - Competition-level code generation with AI[13]
  • FunSearch - Discovering algorithms by using LLMs to search over program space.[14]
  • Neural Program Synthesis[15]
  • Probabilistic Programming[16]
  • 3D-scene Reconstruction and Understanding
  • Community based Crowdsourcing of Data for Training AI Models[17]
  • Behavioral analysis and Personality prediction using on Online networks[18][19]
  • Human Pose Estimation using the Kinect[20]
  • Video Editing (Unwrap Mosaics)[21]

Other AI for Science projects include

  • Learnt Magnetic confinement control for Fusion [22]
  • Learnt Density Functional for solving the fractional electron problem [23]

Awards and honours

Kohli was listed by Time magazine as one of the 100 most influential people in AI.[24]

The impact of AlphaFold has seen it result its leads, Demis 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[25]
  • British Machine Vision Association and Society for Pattern Recognition (BMVA) Sullivan Prize for the best PhD thesis.[26]
  • IEEE Mixed Augmented Reality (ISMAR) Impact Paper award[27]
  • Lasting Impact Award by the ACM Symposium on User Interface Software and Technology[28]
  • Best paper award at the International World Wide Web Conference 2014[29]
  • Best paper award in the European Conference on Computer Vision (ECCV) 2010[30]
  • Best paper award in the Conference on Uncertainty in Artificial Intelligence (UAI)[31]

References

  1. 1 2 Pushmeet Kohli publications indexed by Google Scholar
  2. 1 2 Pushmeet Kohli at the Mathematics Genealogy Project
  3. ↑ "TIME100 AI 2023: Pushmeet Kohli". Time. 7 September 2023. Retrieved 11 November 2023.
  4. ↑ Pushmeet Kohli at DBLP Bibliography Server
  5. ↑ Parmy Olson (12 October 2011). "Microsoft Uses Facebook As Giant 'Lab' To Study Game Theory". Forbes.
  6. ↑ Kohli, Pushmeet (2007). Minimizing dynamic and higher order energy functions using graph cuts (PhD thesis). Oxford Brookes University. OCLC 1043101069. EThOS uk.bl.ethos.444300.
  7. ↑ IEEE. "Pushmeet Kohli - IEEE author profile". ieeexplore.ieee.org. Retrieved 12 November 2023.
  8. ↑ John Jumper; Richard Evans; Alexander Pritzel; et al. (15 July 2021). "Highly accurate protein structure prediction with AlphaFold". Nature. Bibcode:2021Natur.596..583J. doi:10.1038/S41586-021-03819-2. ISSN 1476-4687. PMC 8371605. Wikidata Q107555821.
  9. ↑ "TIME100 AI 2023: Pushmeet Kohli". Time. 7 September 2023. Retrieved 11 November 2023.
  10. ↑ "Google DeepMind has launched a watermarking tool for AI-generated images". MIT Technology Review. Retrieved 11 November 2023.
  11. ↑ Cheng, Jun; Novati, Guido; Pan, Joshua; Bycroft, Clare; Žemgulytė, Akvilė; Applebaum, Taylor; Pritzel, Alexander; Wong, Lai Hong; Zielinski, Michal; Sargeant, Tobias; Schneider, Rosalia G.; Senior, Andrew W.; Jumper, John; Hassabis, Demis; Kohli, Pushmeet (22 September 2023). "Accurate proteome-wide missense variant effect prediction with AlphaMissense". Science. 381 (6664): eadg7492. doi:10.1126/science.adg7492. ISSN 0036-8075. PMID 37733863. S2CID 262084527.
  12. ↑ "Google DeepMind AI speeds up search for disease genes". BBC News. 19 September 2023. Retrieved 11 November 2023.
  13. ↑ Li, Yujia; Choi, David; Chung, Junyoung; Kushman, Nate; Schrittwieser, Julian; Leblond, Rémi; Eccles, Tom; Keeling, James; Gimeno, Felix; Dal Lago, Agustin; Hubert, Thomas; Choy, Peter; de Masson d’Autume, Cyprien; Babuschkin, Igor; Chen, Xinyun (9 December 2022). "Competition-level code generation with AlphaCode". Science. 378 (6624): 1092–1097. arXiv:2203.07814. Bibcode:2022Sci...378.1092L. doi:10.1126/science.abq1158. ISSN 0036-8075. PMID 36480631. S2CID 246527904.
  14. ↑ Romera-Paredes, Bernardino; Barekatain, Mohammadamin; Novikov, Alexander; Balog, Matej; Kumar, M. Pawan; Dupont, Emilien; Ruiz, Francisco J. R.; Ellenberg, Jordan S.; Wang, Pengming; Fawzi, Omar; Kohli, Pushmeet; Fawzi, Alhussein (14 December 2023). "Mathematical discoveries from program search with large language models". Nature: 1–3. doi:10.1038/s41586-023-06924-6. ISSN 1476-4687.
  15. ↑ "Neural Program Synthesis". Microsoft Research. Retrieved 26 December 2019.
  16. ↑ "Picture: A Probabilistic Programming Language for Scene Perception". mrkulk.github.io. Retrieved 1 August 2015.
  17. ↑ "MSDN Blogs". Microsoft.
  18. ↑ "Research Games - Microsoft Research". microsoft.com. Microsoft.
  19. ↑ Kosinski, Michal; Stillwell, David; Kohli, Pushmeet; Bachrach, Yoram; Graepel, Thore (January 2012). "Personality and Website Choice". ACM Web Sciences.
  20. ↑ "Human Pose Estimation for Kinect".
  21. ↑ "Unwrap Mosaics". microsoft.com. Microsoft.
  22. ↑ Degrave, Jonas; Felici, Federico; Buchli, Jonas; Neunert, Michael; Tracey, Brendan; Carpanese, Francesco; Ewalds, Timo; Hafner, Roland; Abdolmaleki, Abbas; de las Casas, Diego; Donner, Craig; Fritz, Leslie; Galperti, Cristian; Huber, Andrea; Keeling, James (February 2022). "Magnetic control of tokamak plasmas through deep reinforcement learning". Nature. 602 (7897): 414–419. Bibcode:2022Natur.602..414D. doi:10.1038/s41586-021-04301-9. ISSN 1476-4687. PMC 8850200. PMID 35173339.
  23. ↑ Kirkpatrick, James; McMorrow, Brendan; Turban, David H. P.; Gaunt, Alexander L.; Spencer, James S.; Matthews, Alexander G. D. G.; Obika, Annette; Thiry, Louis; Fortunato, Meire; Pfau, David; Castellanos, Lara Román; Petersen, Stig; Nelson, Alexander W. R.; Kohli, Pushmeet; Mori-Sánchez, Paula (10 December 2021). "Pushing the frontiers of density functionals by solving the fractional electron problem". Science. 374 (6573): 1385–1389. Bibcode:2021Sci...374.1385K. doi:10.1126/science.abj6511. ISSN 0036-8075. PMID 34882476. S2CID 245012496.
  24. ↑ "TIME100 AI 2023: Pushmeet Kohli". Time. 7 September 2023. Retrieved 11 November 2023.
  25. ↑ "Computer Vision Awards – The Computer Vision Foundation". www.thecvf.com. Retrieved 18 November 2023.
  26. ↑ "The British Machine Vision Association : The Sullivan Doctoral Thesis Prize". www.bmva.org. Retrieved 11 November 2023.
  27. ↑ "Awards – Ismar 2021". ismar2021.vgtc.org. Retrieved 18 November 2023.
  28. ↑ "UIST 2021 - Home". uist.acm.org. Retrieved 18 November 2023.
  29. ↑ "안녕하세요!". www2014.
  30. ↑ "ECCV 2010, 11th European Conference on Computer Vision - awards". forth.gr.
  31. ↑ "Uncertainty in Artificial Intelligence". UAI. Retrieved 26 December 2019.
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