Biography:Pushmeet Kohli

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Pushmeet Kohli
Born
Dehradun, Uttrakhand, India
NationalityIndian-British
Alma materOxford Brookes University (PhD)
National Institute of Technology, Warangal (BTech)
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]
Website{{{1}}}

Pushmeet Kohli is an Indian British computer scientist and Vice President of research at Google DeepMind. At Deepmind, he heads the "Science and Strategic Initiatives Unit". He was noted by Time magazine as being one of the 100 most influential people in AI according to the Time 100 AI list.

He has led and supervised a number of projects including AlphaFold, a system for predicting the 3D structures of proteins; AlphaEvolve, a general-purpose evolutionary coding agent; SynthID, a system for watermarking and detecting AI-generated content; and Co-Scientist, an agent for generating and testing new scientific hypotheses.

Education

Kohli received a BTech in Computer Science and Engineering at the National Institute of Technology, Warangal.[3] He went on to study at Oxford Brookes University, where he earned a PhD in computer vision under Philip Torr in 2007.[3][4][2] Kohli was also a postdoctoral associate at the Psychometric Centre, University of Cambridge.[5]

Career

Before joining Google DeepMind, Pushmeet Kohli was partner scientist and director of research at Microsoft Research. His research investigates applications of machine learning and artificial intelligence.[1][6]

Pushmeet has made research contributions in the fields of computational biology, program synthesis, superoptimization, discrete optimization, and psychometrics.[7]

Notable Research Projects

  • AlphaFold - breakthrough AI system for protein structure prediction[8]
  • AlphaEvolve - agent for code super optimization.[9]
  • AlphaTensor - Reinforcement learning agent for discovering new algorithms for matrix multiplication[10]
  • SynthID - system for watermarking AI generated images.[11]
  • AlphaGenome and AlphaMissense - AI models for predicting the effect of mutations in the genome [12][13]
  • AlphaCode - Competition-level code generation with AI[14]
  • FunSearch - Discovering algorithms using LLMs to search over program space.[15]
  • Neural Program Synthesis[16]
  • Probabilistic Programming[17]
  • Community based Crowdsourcing of Data for Training AI Models[18]
  • Behavioral analysis and personality prediction using on online networks[19][20]
  • Human Pose Estimation using the Kinect[21]
  • Learnt Magnetic confinement control for Fusion [22]
  • Learnt Density Functional for solving the fractional electron problem [23]

Awards and honours

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[24]
  • British Machine Vision Association and Society for Pattern Recognition (BMVA) Sullivan Prize for the best PhD thesis.[25]
  • IEEE Mixed Augmented Reality (ISMAR) Impact Paper award[26]
  • Lasting Impact Award by the ACM Symposium on User Interface Software and Technology[27]
  • Best paper award at the International World Wide Web Conference 2014[28]
  • Best paper award in the European Conference on Computer Vision (ECCV) 2010[29]
  • Best paper award in the Conference on Uncertainty in Artificial Intelligence (UAI)[30]

References

  1. ↑ 1.0 1.1 {{Google Scholar id}} template missing ID and not present in Wikidata.
  2. ↑ 2.0 2.1 Pushmeet Kohli at the Mathematics Genealogy Project
  3. ↑ 3.0 3.1 Kohli, Pushmeet. "CURRICULUM VITAE". https://www.microsoft.com/en-us/research/wp-content/uploads/2016/11/Pushmeet_Kohli_CV.pdf. 
  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". https://ieeexplore.ieee.org/author/38469164200. 
  6. ↑ {{DBLP}} template missing ID and not present in Wikidata.
  7. ↑ Parmy Olson (12 October 2011). "Microsoft Uses Facebook As Giant 'Lab' To Study Game Theory". Forbes. https://www.forbes.com/sites/parmyolson/2011/10/12/microsoft-uses-facebook-as-giant-lab-to-study-game-theory/. 
  8. ↑  , Wikidata Q107555821
  9. ↑ "AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms" (in en). 2025-05-14. https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/. 
  10. ↑ "TIME100 AI 2023: Pushmeet Kohli" (in en). Time. 2023-09-07. https://time.com/collection/time100-ai/6308942/pushmeet-kohli/. Retrieved 2023-11-11. 
  11. ↑ "Google DeepMind has launched a watermarking tool for AI-generated images" (in en). https://www.technologyreview.com/2023/08/29/1078620/google-deepmind-has-launched-a-watermarking-tool-for-ai-generated-images/. 
  12. ↑ Cheng, Jun; Novati, Guido; Pan, Joshua; Bycroft, Clare; Žemgulytė, Akvilė; Applebaum, Taylor; Pritzel, Alexander; Wong, Lai Hong et al. (2023-09-22). "Accurate proteome-wide missense variant effect prediction with AlphaMissense" (in en). Science 381 (6664). doi:10.1126/science.adg7492. ISSN 0036-8075. PMID 37733863. 
  13. ↑ "Google DeepMind AI speeds up search for disease genes" (in en-GB). BBC News. 2023-09-19. https://www.bbc.com/news/science-environment-66847977. 
  14. ↑ Li, Yujia; Choi, David; Chung, Junyoung; Kushman, Nate; Schrittwieser, Julian; Leblond, Rémi; Eccles, Tom; Keeling, James et al. (2022-12-09). "Competition-level code generation with AlphaCode" (in en). Science 378 (6624): 1092–1097. doi:10.1126/science.abq1158. ISSN 0036-8075. PMID 36480631. Bibcode: 2022Sci...378.1092L. https://www.science.org/doi/10.1126/science.abq1158. 
  15. ↑ Romera-Paredes, Bernardino; Barekatain, Mohammadamin; Novikov, Alexander; Balog, Matej; Kumar, M. Pawan; Dupont, Emilien; Ruiz, Francisco J. R.; Ellenberg, Jordan S. et al. (2023-12-14). "Mathematical discoveries from program search with large language models" (in en). Nature 625 (7995): 468–475. doi:10.1038/s41586-023-06924-6. ISSN 1476-4687. PMID 38096900. 
  16. ↑ "Neural Program Synthesis" (in en-US). https://www.microsoft.com/en-us/research/project/neural-program-synthesis/. 
  17. ↑ "Picture: A Probabilistic Programming Language for Scene Perception". mrkulk.github.io. https://mrkulk.github.io/www_cvpr15/. 
  18. ↑ "MSDN Blogs". Microsoft. http://blogs.msdn.com/b/infernet_team_blog/archive/2014/06/25/community-based-bayesian-classifier-combination.aspx. 
  19. ↑ "Research Games - Microsoft Research". microsoft.com. Microsoft. http://research.microsoft.com/en-us/projects/researchgames/. 
  20. ↑ Kosinski, Michal; Stillwell, David; Kohli, Pushmeet; Bachrach, Yoram; Graepel, Thore (January 2012). "Personality and Website Choice" (in en-US). ACM Web Sciences. https://www.microsoft.com/en-us/research/publication/personality-and-website-choice/. 
  21. ↑ "Human Pose Estimation for Kinect". http://research.microsoft.com/en-us/projects/vrkinect/. 
  22. ↑ Degrave, Jonas; Felici, Federico; Buchli, Jonas; Neunert, Michael; Tracey, Brendan; Carpanese, Francesco; Ewalds, Timo; Hafner, Roland et al. (February 2022). "Magnetic control of tokamak plasmas through deep reinforcement learning" (in en). Nature 602 (7897): 414–419. doi:10.1038/s41586-021-04301-9. ISSN 1476-4687. PMID 35173339. Bibcode: 2022Natur.602..414D. 
  23. ↑ Kirkpatrick, James; McMorrow, Brendan; Turban, David H. P.; Gaunt, Alexander L.; Spencer, James S.; Matthews, Alexander G. D. G.; Obika, Annette; Thiry, Louis et al. (2021-12-10). "Pushing the frontiers of density functionals by solving the fractional electron problem" (in en). Science 374 (6573): 1385–1389. doi:10.1126/science.abj6511. ISSN 0036-8075. PMID 34882476. Bibcode: 2021Sci...374.1385K. https://www.science.org/doi/10.1126/science.abj6511. 
  24. ↑ "Computer Vision Awards – The Computer Vision Foundation". https://www.thecvf.com/?page_id=413#Koenderink. 
  25. ↑ "The British Machine Vision Association: The Sullivan Doctoral Thesis Prize". https://www.bmva.org/bursaries/sullivan-prize.html. 
  26. ↑ "Awards – Ismar 2021". https://ismar2021.vgtc.org/program/awards/index.html. 
  27. ↑ "UIST 2021 - Home". https://uist.acm.org/uist2021/. 
  28. ↑ "안녕하세요!". www2014. http://www2014.wwwconference.org/%EC%95%88%EB%85%95%ED%95%98%EC%84%B8%EC%9A%94/. 
  29. ↑ "ECCV 2010, 11th European Conference on Computer Vision - awards". forth.gr. http://www.ics.forth.gr/eccv2010/awards.php. 
  30. ↑ "Uncertainty in Artificial Intelligence" (in en). http://www.facebook.com/pages/Uncertainty-in-Artificial-Intelligence/104313386288699. 



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