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{{short description|Researcher and Professor of computing}}
{{Infobox scientist
| name = Anima Anandkumar
| image = Anima Anandkumar speaking at AAAS 2026.jpg
| caption = Dr. Anandkumar speaking at AAAS 2026
| birth_place = Mysore, India
| workplaces = [[University of California Irvine]] <br /> [[California Institute of Technology]]
| alma_mater = [[Indian Institute of Technology Madras]] ([[Bachelor of Science|BS]])<br /> [[Cornell University]] ([[Master of Science|MS]], [[Doctor of Philosophy|PhD]])
| doctoral_advisor = Lang Tong
| thesis_title = Scalable Algorithms for Distributed Statistical Inference
| thesis_url = https://web.archive.org/web/20190108050015/https://pdfs.semanticscholar.org/4008/25a65459f3e19d08f0d3b77c61713953521b.pdf
| thesis_year = 2009
}}

'''Animashree''' ('''Anima''') '''Anandkumar''' is the Bren Professor of Computing at [[California Institute of Technology]]. Previously, she was a senior director of [[Machine learning|Machine Learning]] research at [[Nvidia|NVIDIA]] and a principal scientist at [[Amazon Web Services]]. Her research considers [[Tensor algebra|tensor-algebraic]] methods, [[deep learning]] and non-convex problems.

== Education and early career ==
Anandkumar was born in [[Mysore]]. Her parents are both engineers, and her grandfather was a mathematician.<ref name=bit/> Her great-great-grandfather was the [[Sanskrit]] scholar [[R. Shamasastry]]. She began to study [[Bharatanatyam]] and she learnt this style of dancing for many years.<ref name=":0" /> She studied [[electrical engineering]] at the [[Indian Institute of Technology Madras]] and graduated in 2004.<ref name=bit>{{Cite journal|date=2008|title=Contributors|journal=IEEE Transactions on Information Theory|volume=54|issue=7|pages=3371–3382|doi=10.1109/TIT.2008.924739|issn=0018-9448}}</ref> She attended [[Cornell University]] for her graduate studies, earning a PhD under the supervision of Lang Tong in 2009. Her first project looked at distributed [[statistical estimation]].<ref>{{cite book |last1=Anandkumar |first1=Animashree |last2=Tong |first2=Lang |chapter=Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels |title=2006 40th Annual Conference on Information Sciences and Systems |date=2006 |pages=38–43 |doi=10.1109/CISS.2006.286427|isbn=1-4244-0349-9 |chapter-url=https://resolver.caltech.edu/CaltechAUTHORS:20170920-145744615 }}</ref> She was an [[IBM]] Fellow at [[Cornell University]] between 2008 and 2009. Her thesis considered ''Scalable Algorithms for Distributed Statistical Inference''.<ref name=":0">{{Cite book|title=Scalable algorithms for distributed statistical inference|last=Animashree.|first=Anandkumar|date=2009|oclc=458398906}}</ref> During her PhD she worked in the networking group at [[IBM]] on end-to-end service-level transactions. She was a postdoctoral scholar at [[Massachusetts Institute of Technology]] until 2010, where she worked in the [[Stochastic]] Systems Group with Alan Willsky.<ref>{{Cite web|url=http://www.widsconference.org/anima-anandkumar.html|title=Anima Anandkumar|website=Women in Data Science (WiDS) Conference 2019|access-date=2019-01-07|archive-date=2019-01-08|archive-url=https://web.archive.org/web/20190108100859/https://www.widsconference.org/anima-anandkumar.html}}</ref>

== Research ==
In 2010, Anandkumar joined [[University of California, Irvine]], as an assistant professor. At the time, the technology industry was at the beginning of the [[big data]] revolution. Here she started working on [[tensor decomposition]]s of [[latent variable model]]s.<ref>{{Cite journal|last1=Anandkumar|first1=Anima|last2=Ge|first2=Rong|last3=Hsu|first3=Daniel|last4=Kakade|first4=Sham M.|last5=Telgarsky|first5=Matus|date=2012-12-08|title=Tensor Decompositions for Learning Latent Variable Models|location=Fort Belvoir, VA|doi=10.21236/ada604494|arxiv=1210.7559|bibcode=2012arXiv1210.7559A|s2cid=14587260 | journal= Journal of Machine Learning Research}}</ref> She joined [[Microsoft Research]] in [[New England]] as a visiting scientist in 2012. In 2013 she was awarded a [[National Science Foundation CAREER Awards|National Science Foundation CAREER Award]] to investigate big data and social networks.<ref name=":2">{{Cite web|url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=1251267|title=NSF Award Search: Award#1251267 - BIGDATA: Small: DA: DCM: Measurement and Learning in Large-Scale Social Networks|website=www.nsf.gov|access-date=2019-01-07}}</ref> She was made an associate professor with tenure at [[University of California, Irvine|UC Irvine]] in 2016.<ref>{{Cite web|url=http://datascience.uci.edu/portfolio-items/anima-anandkumar/|title=Anima Anandkumar|website=UCI Data Science Initiative|access-date=2019-01-07|archive-url=https://web.archive.org/web/20150305044956/http://datascience.uci.edu/portfolio-items/anima-anandkumar/|archive-date=2015-03-05}}</ref> She specialised in large-scale machine learning and [[high-dimensional statistics]].<ref>{{Cite web|url=http://www.anderson.ucla.edu/centers/easton-technology-management-center/events/ces-2019/ces-2017/speakers|title=Speakers {{!}} UCLA Anderson School of Management|website=www.anderson.ucla.edu|access-date=2019-01-07|archive-url=https://web.archive.org/web/20190108052243/http://www.anderson.ucla.edu/centers/easton-technology-management-center/events/ces-2019/ces-2017/speakers|archive-date=2019-01-08}}</ref> Anandkumar was a principal scientist at [[Amazon Web Services]] from 2016 to 2018.<ref name=":3">{{Cite web|url=https://aws.amazon.com/blogs/machine-learning/in-the-research-spotlight-anima-anandkumar/|title=In the Research Spotlight: Anima Anandkumar|date=2017-05-16|website=Amazon Web Services|access-date=2019-01-07}}</ref> She worked with the [[Apache MXNet]] tool, introducing new functionality and developing multi-modal processing algorithms.<ref name=":3" /><ref>{{Cite web|url=https://www.oreilly.com/ideas/deep-learning-thats-easy-to-implement-and-easy-to-scale|title=Deep learning that's easy to implement and easy to scale|last=Lorica|first=Ben|date=2017-03-09|website=O'Reilly Media|access-date=2019-01-07}}</ref> She represented [[Amazon Web Services]] at the [[Anita Borg Institute]] in 2017, and in 2018, both the Mulan forum for Chinese women entrepreneurs and [[Shaastra]], where she discussed [[Deep learning|Deep Learning]].<ref>{{Citation|last=Amazon Web Services|title=Distributed Deep Learning|date=20 February 2017 |url=https://www.youtube.com/watch?v=p-0NsApwxGU|access-date=2019-01-07}}</ref><ref name=":5">{{Cite web|url=https://hub.packtpub.com/anima-anandkumar-the-machine-learning-guru-behind-aws-bids-adieu-to-aws/|title=Anima Anandkumar, the machine learning guru behind AWS bids adieu to AWS|last=Sugandha Lahoti|date=2018-09-01|website=Packt Hub|access-date=2019-01-07}}</ref> She also worked on [[Amazon Rekognition]], [[Amazon Lex]] and [[Amazon Polly]]. She was involved in the launch of [[Amazon SageMaker]], an opportunity for developers to use machine learning models.<ref name=":5" />
Anandkumar joined the Machine Learning Conference Board of Advisors in 2018.<ref name=":4">{{Cite web|url=https://mlconf.com/dr-anima-anandkumar-has-joined-the-mlconf-board-of-advisors/|title=Dr. Anima Anandkumar has Joined the MLconf Board of Advisors!|last=Courtney|date=2018-07-06|website=The Machine Learning Conference|access-date=2019-01-07}}</ref> In 2018, Anandkumar joined [[Nvidia|NVIDIA]] as director of Machine Learning Research, and [[Caltech]] as the Bren Professor of Computing and Mathematical Sciences.<ref name=":3" /><ref>{{Cite web|url=https://research.nvidia.com/person/anima-anandkumar|title=Anima Anandkumar {{!}} Research|website=research.nvidia.com|access-date=2019-01-07}}</ref><ref>{{Cite web|url=http://www.caltech.edu/content/caltech-celebrates-newest-cohort-named-professors|title=Caltech Celebrates Newest Cohort of Named Professors {{!}} Caltech|website=The California Institute of Technology|access-date=2019-01-08|archive-url=https://web.archive.org/web/20190109112222/http://www.caltech.edu/content/caltech-celebrates-newest-cohort-named-professors|archive-date=2019-01-09}}</ref> At NVIDIA she opened a new core laboratory in [[artificial intelligence]] and [[machine learning]] in [[Santa Clara, California|Santa Clara]].<ref>{{Citation|last=NVIDIA|title=Research at NVIDIA: New Core AI and Machine Learning Lab|date=29 November 2018 |url=https://www.youtube.com/watch?v=xFGGksGUVcg|access-date=2019-01-07}}</ref><ref>{{Cite web|url=https://daily-ai.com/nvidia-opening-core-ai-and-ml-research-lab-in-santa-clara/|title=NVIDIA Opening Core AI and ML Research Lab in Santa Clara|last=Daily-AI|date=2018-11-30|website=Daily AI|access-date=2019-01-07|archive-date=2019-04-14|archive-url=https://web.archive.org/web/20190414012548/https://daily-ai.com/nvidia-opening-core-ai-and-ml-research-lab-in-santa-clara/}}</ref> She has pushed for governments to invest in robotics and [[artificial intelligence]].<ref>{{Cite web|url=https://www.worldgovernmentsummit.org/annual-gathering/2018/speakers/636537495900634483-dr-anima-anandkumar|title=Dr. Anima Anandkumar|website=World Government Summit - Speakers|access-date=2019-01-07}}</ref> She spoke at the 2018 [[TEDxIndianaUniversity]] event "From Ashes We Rise" about the algorithms she has developed to process big data.<ref>{{Cite web|url=https://tedxindianauniversity.com/|archive-url=https://web.archive.org/web/20150602221646/http://tedxindianauniversity.com/|url-status=usurped|archive-date=June 2, 2015|title=Home|website=TEDxIndianaUniversity|access-date=2019-01-07}}</ref><ref>{{Cite web|url=https://www.idsnews.com/article/2018/10/a-variety-of-professionals-to-speak-at-tedxiu|title='From Ashes We Rise' TEDxIU talk to feature six speakers|website=Indiana Daily Student|access-date=2019-01-07}}</ref>

Anima Anandkumar has also developed AI algorithms that work with applications in various scientific domains including weather forecasting, drug discovery, scientific simulations and engineering design.<ref>{{cite journal |last1=Azizzadenesheli |first1=Kamyar |last2=Kovachki |first2=Nikola |last3=Li |first3=Zongyi |last4=Liu-Schiaffini |first4=Miguel |last5=Kossaifi |first5=Jean |last6=Anandkumar |first6=Anima |title=Neural operators for accelerating scientific simulations and design |journal=Nature Reviews Physics |date=May 2024 |volume=6 |issue=5 |pages=320–328 |doi=10.1038/s42254-024-00712-5 |arxiv=2309.15325 |bibcode=2024NatRP...6..320A }}</ref> She invented [[Neural operators|Neural Operators]] that extend deep learning to modeling multi-scale processes in these scientific domains, learn in function spaces, and are orders of magnitude faster than traditional simulations. She has developed AI-based high-resolution weather models,<ref>{{cite conference |author=Pathak, J. |author2=Subramanian, S. |author3=Harrington, P. B. |author4=Raja, S. S. |author5=Chattopadhyay, A. |author6=Mardani, M. |author7=Kurth, T. |author8=Hall, D. |author9=Li, Z. |author10=Azizzadenesheli, K. |author11=Hassanzadeh, P. |author12=Kashinath, K. |author13=Anandkumar, A. | title=FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators | date=22 February 2022 |book-title=PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference
|arxiv=2202.11214 }} </ref> an AI-aided method for designing anti-infection medical catheters.<ref>{{cite journal | title=AI-aided geometric design of anti-infection catheters | volume=10 | issue=1 | article-number=eadj1741 | journal= Science Advances | date=2024 | doi=10.1126/sciadv.adj1741| arxiv=2304.14554 | last1=Zhou | first1=Tingtao | last2=Wan | first2=Xuan | last3=Huang | first3=Daniel Zhengyu | last4=Li | first4=Zongyi | last5=Peng | first5=Zhiwei | last6=Anandkumar | first6=Anima | last7=Brady | first7=John F. | last8=Sternberg | first8=Paul W. | last9=Daraio | first9=Chiara | pmid=38170782 | pmc=10776022 | bibcode=2024SciA...10J1741Z }} </ref> Neural operators were a featured highlight for 2021 in Math and Computer Science as printed in [[Quanta Magazine]],<ref> {{Citation | year=2021 | title=The Year in Math and Computer Science | url=https://www.quantamagazine.org/the-year-in-math-and-computer-science-20211223/ | access-date=30 March 2024}} </ref> and genome-scale foundation models with emergent behavior in predicting evolutionary dynamics and protein function in several diverse tasks and scenarios,<ref>{{cite journal | last1=Zvyagin | first1=Maxim | last2=Brace | first2=Alexander | last3=Hippe | first3=Kyle | last4=Deng | first4=Yuntian | last5=Zhang | first5=Bin | last6=Bohorquez | first6=Cindy Orozco | last7=Clyde | first7=Austin | last8=Kale | first8=Bharat | last9=Perez-Rivera | first9=Danilo | last10=Ma | first10=Heng | last11=Mann | first11=Carla M. | last12=Irvin | first12=Michael | last13=Ozgulbas | first13=Defne G. | last14=Vassilieva | first14=Natalia | last15=Pauloski | first15=James Gregory | last16=Ward | first16=Logan | last17=Hayot-Sasson | first17=Valerie | last18=Emani | first18=Murali | last19=Foreman | first19=Sam | last20=Xie | first20=Zhen | last21=Lin | first21=Diangen | last22=Shukla | first22=Maulik | last23=Nie | first23=Weili | last24=Romero | first24=Josh | last25=Dallago | first25=Christian | last26=Vahdat | first26=Arash | last27=Xiao | first27=Chaowei | last28=Gibbs | first28=Thomas | last29=Foster | first29=Ian | last30=Davis | first30=James J. | last31=Papka | first31=Michael E. | last32=Brettin | first32=Thomas | last33=Stevens | first33=Rick | last34=Anandkumar | first34=Anima | last35=Vishwanath | first35=Venkatram | last36=Ramanathan | first36=Arvind |display-authors=1| title=GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics | journal=The International Journal of High Performance Computing Applications | volume=37 | issue=6 | date=2023 | issn=1094-3420 | doi=10.1177/10943420231201154 | pages=683–705|biorxiv=10.1101/2022.10.10.511571| pmc=9709791| pmid=36451881 }}</ref> which won the Association for Computing Machinery (ACM) Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research in 2022.<ref name="auto">{{cite web |title=ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research Awarded to Team for Modelling How Pandemic-Causing Viruses, Especially SARS-CoV-2, are Identified and Classified |url=https://www.acm.org/media-center/2022/november/gordon-bell-special-prize-covid-research-2022 |access-date=30 March 2024}}</ref>

Anandkumar has also done some of the early work on generalist AI agents using language models, which are capable of simulating a life cycle in their learning using foundation models in an interactive manner. In particular, her work has shown how interactive in-context learning in language models can be used to construct actions in the form of program code to solve complex open-ended tasks in environments such as Minecraft<ref> {{cite arXiv| title=Voyager: An Open-Ended Embodied Agent with Large Language Models | date=30 March 2023 | eprint=2305.16291 | last1=Wang | first1=Guanzhi | last2=Xie | first2=Yuqi | last3=Jiang | first3=Yunfan | last4=Mandlekar | first4=Ajay | last5=Xiao | first5=Chaowei | last6=Zhu | first6=Yuke | last7=Fan | first7=Linxi | last8=Anandkumar | first8=Anima | class=cs.AI }} </ref> and robotic reinforcement learning.<ref> {{cite arXiv | title=Eureka: Human-Level Reward Design via Coding Large Language Models | eprint=2310.12931 | author1=Yecheng Jason Ma | last2=Liang | first2=William | last3=Wang | first3=Guanzhi | last4=Huang | first4=De-An | last5=Bastani | first5=Osbert | last6=Jayaraman | first6=Dinesh | last7=Zhu | first7=Yuke | last8=Fan | first8=Linxi | last9=Anandkumar | first9=Anima | date=2023 | class=cs.RO }} </ref>

While at Caltech, Anandkumar co-founded the AI for Science initiative in 2018. In 2023, she was invited by the Presidential Council of Advisors on Science and Technology (PCAST) on AI+Science.<ref> {{Citation | year=2024 | title=Anima Anandkumar Briefs PCAST on AI Enabling Science | url=http://www.cms.caltech.edu/news-events/news/anima-anandkumar-briefs-pcast-on-ai-enabling-science | access-date=30 March 2024}} </ref> In addition, she has given keynotes at the Annual Meeting of the US National Committee for Theoretical and Applied Mechanics,<ref> {{Citation | year=2020 | url=https://www.nationalacademies.org/event/08-27-2020/machine-learning-in-mechanics-the-us-national-committee-on-theoretical-and-applied-mechanics-usnc-tam | access-date=30 March 2024 | title = Machine Learning in Mechanics: The U.S. National Committee on Theoretical and Applied Mechanics (USNC/TAM)
}} </ref> the UCLA distinguished seminar,<ref> {{Citation | year=2024 | title=Anima Anandkumar | url=https://ww3.math.ucla.edu/dls/anima-anandkumar/ | access-date=30 March 2024}} </ref> the SIAM annual meeting,<ref> {{Citation | year=2024 | title=AN21 Invited Presentations | url=https://www.siam.org/conferences/cm/program/invited-presentations/an21-invited-presentations | access-date=30 March 2024}} </ref> the Nature Reviews Physics, hosted by the Alan Turing Institute,<ref> {{Citation | year=2024 | title=Nature Reviews Physics: Machine learning research in industry | url=https://www.turing.ac.uk/events/nature-reviews-physics-machine-learning-research-industry | access-date=30 March 2024}} </ref> and the TED2024 conference.<ref name="auto1">{{cite web |last1=Anandkumar |first1=Anima |title=AI that connects the digital and physical worlds |url=https://www.ted.com/talks/anima_anandkumar_ai_that_connects_the_digital_and_physical_worlds |website=TED|date=9 July 2024 }}</ref>

== Campaigns ==
Anandkumar launched a petition to [[Timothy A. Gonsalves]] to try and convince the [[Ministry of Human Resource Development]] to end gender segregation in the admissions process at the [[Indian Institute of Technology Madras]].<ref name=":7">{{Cite web|url=http://www.t5eiitm.org/2018/01/shaastra-spotlight-interviews-anima-anandkumar/|title=Shaastra Spotlight Interviews: Anima Anandkumar|last=Ghosh|first=Shubhangi|date=2018-01-18|website=The Fifth Estate|access-date=2019-01-07|archive-date=2019-05-28|archive-url=https://web.archive.org/web/20190528222244/http://www.t5eiitm.org/2018/01/shaastra-spotlight-interviews-anima-anandkumar/}}</ref> The petition calls for campus-wide systems to monitor sexual harassment, improved campus security and increased engagement with alumni.<ref name=":7" /><ref>{{Cite news|url=https://economictimes.indiatimes.com/industry/services/education/more-girl-students-to-get-admission-in-iits-from-2018/articleshow/58197318.cms|title=More girl students to get admission in IITs from 2018|date=2017-04-15|work=The Economic Times|access-date=2019-01-07}}</ref> She has spoken openly about her own experiences of sexual harassment and called for [[Intel]] to stop using female acrobats as entertainment at their conference parties.<ref>{{Cite magazine|url=https://www.wired.com/story/artificial-intelligence-researchers-gender-imbalance/|title=AI Is the Future—But Where Are the Women?|last=Simonite|first=Tom|date=2018-08-17|magazine=Wired|access-date=2019-01-07|issn=1059-1028}}</ref> She was one of several campaigners to rename the [[Conference on Neural Information Processing Systems]] 'NIPS' as NeurIPS.<ref>{{Cite magazine|url=https://www.wired.com/story/ai-researchers-fight-over-four-letters-nips/|title=AI Researchers Fight Over Four Letters: NIPS|last=Simonite|first=Tom|date=2018-10-26|magazine=Wired|access-date=2019-01-07|issn=1059-1028}}</ref> In 2018, she was awarded a [[The New York Times|''New York Times'']] Good Tech Award.<ref>{{Cite news|url=https://www.nytimes.com/2018/12/21/technology/year-in-technology-2018.html|title=The 2018 Good Tech Awards|last=Roose|first=Kevin|date=2018-12-21|work=The New York Times|access-date=2019-01-08|issn=0362-4331}}</ref>

== Awards and honors ==
Anandkumar has won several awards and honours, including:<ref>{{Cite web|url=https://simons.berkeley.edu/people/anima-anandkumar|title=Anima Anandkumar {{!}} Simons Institute for the Theory of Computing|website=simons.berkeley.edu|date=22 September 2016|access-date=2019-01-07}}</ref>
* 2025 [[Time 100|Time100]] Impact Award "for using AI to accelerate scientific discovery"<ref>{{cite magazine |last1=Pillay |first1=Tharin |title=Anima Anandkumar Accelerates Scientific Discovery with AI |url=https://time.com/collection/time100-impact-awards/7212504/time100-impact-awards-anima-anandkumar/ |magazine=Time|date=6 February 2025 }}</ref>
* 2025 IEEE Kiyo Tomiyasu Award "for contributions to AI, including tensor methods and neural operators with applications to scientific domains"<ref>{{cite journal |title=Anima Anandkumar to Receive the 2025 IEEE Kiyo Tomiyasu Award [Society News] |journal=IEEE Robotics & Automation Magazine |date=2024 |volume=31 |issue=4 |page=193 |doi=10.1109/MRA.2024.3478648 |bibcode=2024IRAM...31Q.193. }}</ref>
* 2024 Blavatnik Award for Young Scientists for "groundbreaking advancements in AI to address practical scientific challenges, drastically accelerating simulation of complex phenomena like weather forecasting, scientific simulations, engineering design and scientific discovery"<ref>{{cite web |title=Anima Anandkumar 2024 National Award Finalist - Faculty |url=https://blavatnikawards.org/honorees/profile/anima-anandkumar/ |website=Blavatnik Awards}}</ref>
* 2024 [[TED (conference)|TED]] Speaker on "AI that connects the digital and physical worlds"<ref name="auto1"/>
* 2024 Distinguished Alumnus Award by IIT Madras for "her achievements and contributions towards interdisciplinary scientific innovation"<ref>{{cite web |title=Prof. Anima Anandkumar |url=https://acr.iitm.ac.in/latestdaas/prof-anima-anandkumar/ |website=Indian Institute of Technology Madras |access-date=6 July 2025}}</ref>
* 2023 Guggenheim Fellow in the field of computer science<ref>{{cite web |title=ANNOUNCING THE 2023 GUGGENHEIM FELLOWS |url=https://www.gf.org/news/foundation-news/announcing-the-2023-guggenheim-fellows/ |access-date=30 March 2024}}</ref>
* 2023 Schmidt Sciences AI 2050 Senior Fellow that supports established leaders who have made significant contributions to their field<ref>{{cite web |title=Second Cohort of AI2050 Senior Fellows Named By Schmidt Futures |date=17 October 2023 |url=https://www.schmidtfutures.org/second-cohort-of-ai2050-senior-fellows-named-by-schmidt-futures/ |access-date=30 March 2024}}</ref>
* 2023 AAAI Fellow for "significant contributions to machine learning including neural operators for scientific machine learning and tensor methods for probabilistic models"<ref>{{cite web |title=Elected AAAI Fellows |url=https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/ |website=Association for the Advancement of Artificial Intelligence |access-date=6 July 2025}}</ref>
* 2022 [[ACM Fellow]] for "contributions to tensor methods for probabilistic models and neural operators"<ref>{{cite web |last1=Peltz |first1=Benjamin |title=Anima Anandkumar Named ACM Fellow |url=https://www.eas.caltech.edu/news/anima-anandkumar-named-an-acm-fellow |website=Caltech |date=18 January 2023 |access-date=6 July 2025}}</ref><ref>{{cite web|url=https://www.acm.org/media-center/2023/january/fellows-2022|title=Global computing association names 57 fellows for outstanding contributions that propel technology today|publisher=Association for Computing Machinery|date=January 18, 2023|access-date=2023-01-18}}</ref>
* 2022 Outstanding Paper at [[Conference on Neural Information Processing Systems|Neural Information Processing]]<ref>{{cite web |last1=Agarwal |first1=Alekh |last2=Oh |first2=Alice |last3=Belgrave |first3=Danielle |last4=Cho |first4=Kyunghyun |last5=Ghadiyaram |first5=Deepti |last6=Vanschoren |first6=Joaquin |title=Announcing the NeurIPS 2022 Awards |url=https://blog.neurips.cc/2022/11/21/announcing-the-neurips-2022-awards/ |website=Neural Information Processing Systems |date=21 November 2022 |access-date=6 July 2025}}</ref>
* 2022 ACM Gordon-Bell Special Prize for HPC for COVID-19 Research<ref name="auto"/>
* 2021 IEEE Fellow for "contributions to theory and applications in signal processing, machine learning, and artificial intelligence"<ref>{{Cite web|url=https://cms.caltech.edu/news/1372|title=Caltech Computing + Mathematical Sciences | News | Anima Anandkumar Elevated to IEEE Fellow|access-date=2020-12-31|archive-date=2020-12-22|archive-url=https://web.archive.org/web/20201222221407/https://www.cms.caltech.edu/news/1372}}</ref>
* 2017 [[Caltech]] Bren Endowed Chair<ref>{{cite web |title=Caltech Celebrates Newest Cohort of Named Professors |url=https://cce.caltech.edu/news-and-events/news/caltech-celebrates-newest-cohort-named-professors |website=Caltech |date=11 June 2018 |access-date=6 July 2025}}</ref>
* 2015 [[Air Force Research Laboratory|Air Force Office of Scientific Research]] Young Investigator Award<ref>{{Cite web|url=https://cml.ics.uci.edu/2015/01/anima-anandkumar-receives-afosr-young-investigator-award/|title=Anandkumar receives AFOSR Young Investigator Award {{!}} Center for Machine Learning and Intelligent Systems|date=22 January 2015 |access-date=2019-01-07}}</ref>
* 2014 [[Sloan Research Fellowship]]<ref>{{Cite web|url=https://cml.ics.uci.edu/2014/02/anandkumar-receives-early-career-sloan-research-fellowship/|title=Anandkumar Receives 'Early-Career' Sloan Research Fellowship {{!}} Center for Machine Learning and Intelligent Systems|date=20 February 2014 |access-date=2019-01-07}}</ref>
* 2013 [[Microsoft]] Faculty Fellowship<ref>{{Cite web|url=http://engineering.uci.edu/news/2013/6/microsoft-research-names-anima-anandkumar-faculty-fellow|title=Microsoft Research Names Anima Anandkumar a Faculty Fellow {{!}} The Henry Samueli School of Engineering at UC Irvine|website=engineering.uci.edu|access-date=2019-01-07}}</ref>
* 2013 [[National Science Foundation CAREER Awards|National Science Foundation CAREER Award]]<ref name=":2" />
* 2011 [[ACM SIGMETRICS]] Best Paper Award
* 2008 [[IEEE Signal Processing Society]] Young Author Best Paper Award<ref>{{Cite journal|last1=Anandkumar|first1=Animashree|last2=Tong|first2=Lang|date=October 2007|title=Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels|journal=IEEE Transactions on Signal Processing|volume=55|issue=10|pages=5032–5043|doi=10.1109/tsp.2007.896302|bibcode=2007ITSP...55.5032A|issn=1053-587X|citeseerx=10.1.1.71.1653|s2cid=10708719}}</ref>
* 2008-09 Fran Allen IBM PhD Fellowship<ref>{{cite web |last1=Ju |first1=Anne |title=Ph.D. student's IBM award will help support women in engineering |url=https://news.cornell.edu/stories/2008/12/students-ibm-award-will-help-support-women-engineering |website=Cornell Chronicle |publisher=Cornell |access-date=6 July 2025}}</ref>

== References ==
{{Reflist}}<ref>{{Cite news |date=2025-07-30 |title=8 Indian-origin AI and ML experts in the US: Where did they study |url=https://timesofindia.indiatimes.com/education/news/8-indian-origin-ai-and-ml-experts-in-the-us-where-they-studied-and-their-impact/articleshow/122994310.cms |access-date=2025-12-31 |work=The Times of India |issn=0971-8257}}</ref>{{Authority control}}

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Anima Anandkumar - Revision history

Aranyam at 15:39, 20 March 2026