Pushmeet Kohli

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Pushmeet Kohli
Alma mater Oxford Brookes University (PhD)
National Institute of Technology, Warangal (Undergraduate)
Scientific career
Fields Machine learning
Artificial intelligence
Computer vision [1]
Institutions Google
DeepMind
Thesis Minimizing dynamic and higher order energy functions using graph cuts  (2007)
Doctoral advisor Philip Torr [2]
Website research.google/people/105667 OOjs UI icon edit-ltr-progressive.svg

Pushmeet Kohli is one of the leading scientists in the field of Artificial Intelligence and was listed by Time magazine as one of the 100 most influential people in AI. [3] . He holds the position of Vice President of research at Google DeepMind, the leading AI company in the world, where he heads the "Science and Strategic Initiatives Unit". He has led and supervised a number of impactful projects like the development of AlphaFold, a system for predicting the 3D structures of proteins, AlphaMissense - a model for predicting the effect of missense variants in the genome, SynthID - a system for robustly and imperceptibly watermarking and detecting AI generated content to prevent its use for misinformation.

Contents

Education

Kohli was educated at National Institute of Technology, Warangal [ citation needed ] and Oxford Brookes University where his PhD awarded in 2007 [4] was supervised by Philip Torr. [2] He was a Postdoctoral fellow at University of Cambridge. [5]

Career

Before joining Google DeepMind, Pushmeet Kohli 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] [6] He has also made contributions in game theory, discrete algorithms and psychometrics. [7]

Notable Research Projects

Other AI for Science projects include

Awards and honours

The impact of AlphaFold has seen its leads, Demis Hassabis and John Jumper, being awarded by numerous prizes including 2024 Nobel prize in Chemistry, the 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:

References

  1. 1 2 Pushmeet Kohli publications indexed by Google Scholar OOjs UI icon edit-ltr-progressive.svg
  2. 1 2 Pushmeet Kohli at the Mathematics Genealogy Project OOjs UI icon edit-ltr-progressive.svg
  3. "TIME100 AI 2023: Pushmeet Kohli". Time. 7 September 2023. Retrieved 11 November 2023.
  4. 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.
  5. IEEE. "Pushmeet Kohli - IEEE author profile". IEEE . Retrieved 12 November 2023.
  6. Pushmeet Kohli at DBLP Bibliography Server OOjs UI icon edit-ltr-progressive.svg
  7. Parmy Olson (12 October 2011). "Microsoft Uses Facebook As Giant 'Lab' To Study Game Theory". Forbes .
  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. 625 (7995): 468–475. doi: 10.1038/s41586-023-06924-6 . ISSN   1476-4687. PMC   10794145 . PMID   38096900.
  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. "Computer Vision Awards – The Computer Vision Foundation". www.thecvf.com. Retrieved 18 November 2023.
  25. "The British Machine Vision Association : The Sullivan Doctoral Thesis Prize". www.bmva.org. Retrieved 11 November 2023.
  26. "Awards – Ismar 2021". ismar2021.vgtc.org. Retrieved 18 November 2023.
  27. "UIST 2021 - Home". uist.acm.org. Retrieved 18 November 2023.
  28. "안녕하세요!". www2014.
  29. "ECCV 2010, 11th European Conference on Computer Vision - awards". forth.gr.
  30. "Uncertainty in Artificial Intelligence". UAI. Retrieved 26 December 2019.