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Pushmeet Kohli
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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.
Key Information
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
[edit]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
[edit]Before joining Google DeepMind, 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
[edit]- 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 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
[edit]Kohli'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
[edit]- ^ a b Pushmeet Kohli publications indexed by Google Scholar
- ^ a b Pushmeet Kohli at the Mathematics Genealogy Project
- ^ a b Kohli, Pushmeet. "CURRICULUM VITAE" (PDF). Microsoft Research. Retrieved 24 June 2025.
- ^ 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.
- ^ IEEE. "Pushmeet Kohli - IEEE author profile". IEEE. Retrieved 12 November 2023.
- ^ Pushmeet Kohli at DBLP Bibliography Server
- ^ Parmy Olson (12 October 2011). "Microsoft Uses Facebook As Giant 'Lab' To Study Game Theory". Forbes.
- ^ 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. PMID 34265844. Wikidata Q107555821.
- ^ "AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms". Google DeepMind. 14 May 2025. Retrieved 13 June 2025.
- ^ "TIME100 AI 2023: Pushmeet Kohli". Time. 7 September 2023. Retrieved 11 November 2023.
- ^ "Google DeepMind has launched a watermarking tool for AI-generated images". MIT Technology Review. Retrieved 11 November 2023.
- ^ 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.
- ^ "Google DeepMind AI speeds up search for disease genes". BBC News. 19 September 2023. Retrieved 11 November 2023.
- ^ 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.
- ^ 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.
- ^ "Neural Program Synthesis". Microsoft Research. Retrieved 26 December 2019.
- ^ "Picture: A Probabilistic Programming Language for Scene Perception". mrkulk.github.io. Retrieved 1 August 2015.
- ^ "MSDN Blogs". Microsoft.
- ^ "Research Games - Microsoft Research". microsoft.com. Microsoft.
- ^ Kosinski, Michal; Stillwell, David; Kohli, Pushmeet; Bachrach, Yoram; Graepel, Thore (January 2012). "Personality and Website Choice". ACM Web Sciences.
- ^ "Human Pose Estimation for Kinect".
- ^ 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.
- ^ 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. hdl:10486/717813. ISSN 0036-8075. PMID 34882476. S2CID 245012496.
- ^ "Computer Vision Awards – The Computer Vision Foundation". www.thecvf.com. Retrieved 18 November 2023.
- ^ "The British Machine Vision Association: The Sullivan Doctoral Thesis Prize". www.bmva.org. Retrieved 11 November 2023.
- ^ "Awards – Ismar 2021". ismar2021.vgtc.org. Retrieved 18 November 2023.
- ^ "UIST 2021 - Home". uist.acm.org. Retrieved 18 November 2023.
- ^ "안녕하세요!". www2014.
- ^ "ECCV 2010, 11th European Conference on Computer Vision - awards". forth.gr.
- ^ "Uncertainty in Artificial Intelligence". UAI. Retrieved 26 December 2019.