Anima Anandkumar

Anandkumar was born in Mysore. Her parents are both engineers, and her grandfather was a mathematician. 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. She studied electrical engineering at the Indian Institute of Technology Madras and graduated in 2004.{{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}} She joined 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.{{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 }} She was an IBM Fellow at Cornell University between 2008 and 2009. Her thesis considered Scalable Algorithms for Distributed Statistical Inference.{{Cite book|title=Scalable algorithms for distributed statistical inference|last=Animashree.|first=Anandkumar|date=2009|oclc=458398906}} 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.{{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|url-status=dead}}

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 decompositions of latent variable models.{{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}} She joined Microsoft Research in New England as a visiting scientist in 2012. In 2013 she was awarded a National Science Foundation CAREER Award to investigate big data and social networks.{{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}} She was made an assistant professor with tenure at UC Irvine in 2016.{{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|url-status=dead}} She specialised in large-scale machine learning and high-dimensional statistics.{{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|url-status=dead}} Anandkumar was a principal scientist at Amazon Web Services from 2016 to 2018.{{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}} She worked with the Apache MXNet tool, introducing new functionality and developing multi-modal processing algorithms.{{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}} She represented Amazon Web Services at the Anita Borg Institute in 2017, the Mulan forum for Chinese women entrepreneurs and Shaastra in 2018, discussing Deep Learning.{{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}}{{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}} She also worked on Amazon Rekognition, Amazon Lex and Amazon Polly. She was involved with the launch of Amazon SageMaker, an opportunity for developers to use machine learning models.

Anandkumar joined the Machine Learning Conference Board of Advisors in 2018.{{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}} In 2018, Anandkumar joined NVIDIA as director of Machine Learning Research, and Caltech as the Bren Professor of Computing and Mathematical Sciences.{{Cite web|url=https://research.nvidia.com/person/anima-anandkumar|title=Anima Anandkumar {{!}} Research|website=research.nvidia.com|access-date=2019-01-07}}{{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|url-status=dead}} At NVIDIA she opened a new core laboratories in artificial intelligence and machine learning in Santa Clara.{{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}}{{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/|url-status=dead}} She has pushed for governments to invest in robotics and artificial intelligence.{{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}} She spoke at the 2018 TEDxIndianaUniversity event "From Ashes We Rise" about the algorithms she has developed to process big data.{{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}}{{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}}

Anima Anandkumar has also developed AI algorithms that with applications in various scientific domains including weather forecasting, drug discovery, scientific simulations and engineering design.{{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 |url=https://doi.org/10.1038/s42254-024-00712-5}} She invented Neural Operators that extend deep learning to modeling multi-scale processes in these scientific domains and learn in function spaces and are orders of magnitude faster than traditional simulations. She has developed AI-based high-resolution weather models,{{cite journal | vauthors=((Pathak, J., Subramanian, S., Harrington, P. B., Raja, S. S., Chattopadhyay, A., Mardani, M., Kurth, T., Hall, D., Li, Z., Azizzadenesheli, K., Hassanzadeh, P., Kashinath, K., Anandkumar, A.)) | title=FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators | volume=abs/2202.11214 | date=22 February 2022 | journal= PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference

| arxiv=2202.11214 }} an AI-aided method for designing anti-infection medical catheters.{{cite journal | title=AI-aided geometric design of anti-infection catheters | volume=10 | issue=1 | pages=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 }} Neural operators were featured as a highlight for 2021 in Math and Computer Science by the Quanta Magazine, {{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}} and genome-scale foundation models with emergent behavior in predicting evolutionary dynamics and protein function in several diverse tasks and scenarios,{{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 }} which won the Association for Computing Machinery (ACM) Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research in 2022.{{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}}

Anandkumar has also done some of the early work on generalist AI agents using language models, which are capable of life-long 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 form of program code to solve complex open-ended tasks in environments such as Minecraft {{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 }} and robotic reinforcement learning. {{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 }}

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. {{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}} In addition, she has given keynotes at the Annual Meeting of the US National Committee for Theoretical and Applied Mechanics, {{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)

}} the UCLA distinguished seminar, {{Citation | year=2024 | title=Anima Anandkumar | url=https://ww3.math.ucla.edu/dls/anima-anandkumar/ | access-date=30 March 2024}} the SIAM annual meeting, {{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}} the Nature Reviews Physics, hosted by the Alan Turing Institute, {{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}} and the TED2024 conference.{{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 }}

Anandkumar is committed to improving diversity in the technology sector. She launched a petition to Timothy A. Gonsalves to try and convince him at the Ministry of Human Resource Development to end gender segregation in the admissions process at the Indian Institute of Technology Madras.{{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/|url-status=dead}} The petition calls for campus-wide systems to monitor sexual harassment, improved campus security and increased engagement with alumni.{{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}} She has spoken openly about her own experiences of sexual harassment on social media and called for Intel to stop using female acrobats as entertainment at their conference parties.{{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}} She was one of several campaigners to rename the Conference on Neural Information Processing Systems 'NIPS' as NeurIPS.{{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}} In 2018, she was awarded a New York Times Good Tech Award.{{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}}

In December 2020, Anandkumar was embroiled in a Twitter controversy, when she published a list of individuals who allegedly followed, liked or supported any Tweets made by Pedro Domingos allegedly in relation to his controversial views on the renaming of NeurIPS, Timnit Gebru's controversial exit at Google, algorithmic bias or cancel culture, or simply followed him on Twitter. She never clarified how she actually came up with that list.{{cite news |last1=Soper |first1=Taylor |title=Retired UW computer science professor embroiled in Twitter spat over AI ethics and 'cancel culture' |url=https://www.geekwire.com/2020/retired-uw-computer-science-professor-embroiled-twitter-spat-ai-ethics-cancel-culture/ |access-date=17 December 2020 |work=GeekWire |date=16 December 2020}} She suggested that followers "try and change the mind of [these] fanboys of Pedro[...] Especially junior people".{{Cite news|url=https://twitter.com/AnimaAnandkumar/status/1338282250614411264|archive-url=https://archive.today/20201214175330/https://twitter.com/AnimaAnandkumar/status/1338282250614411264|url-status=dead|archive-date=2020-12-14|title= Archive of Twitter comments, now deleted.}} Following prompt backlash from individuals concerned about the circulation of such a blacklist, Anandkumar deactivated her Twitter account temporarily and issued an apology stating "I am by no means perfect. I am sorry if my actions/words have ever created a threatening environment. My intention was to change hearts and minds, and to raise awareness to the struggles that women and minorities face both online and in the real world. I will find better ways to achieve that goal".{{Cite news|url=https://anima-ai.org/2020/12/16/my-heartfelt-apology/|title= My heartfelt apology|access-date=2020-12-16}}

Anandkumar has won several awards and honours, including:{{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}}

• 2025 Time100 Impact Award{{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 }}
• 2025 IEEE Kiyo Tomiyasu Award{{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 |url=https://ieeexplore.ieee.org/document/10794439}}
• 2024 Blavatnik Award for Young Scientists{{cite web |title=Anima Anandkumar 2024 National Award Finalist - Faculty |url=https://blavatnikawards.org/honorees/profile/anima-anandkumar/ |website=Blavatnik Awards}}
• 2024 TED Speaker{{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 }}
• 2024 Distinguished Alumnus Award by IIT Madras
• 2023 Guggenheim Fellow{{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}}
• 2023 Schmidt Sciences AI 2050 Senior Fellow{{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}}
• 2023 AAAI Fellow
• 2022 Outstanding Paper at Neural Information Processing
• 2022 ACM Gordon-Bell Special Prize for HPC for COVID-19 Research{{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}}
• 2022 ACM Fellow{{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}}
• 2020 IEEE Fellow{{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|url-status=dead}}
• 2020 Women in AI research award by Venturebeat{{Cite web|url=https://news.developer.nvidia.com/nvidia-leaders-honored-at-venturebeat-transform-women-in-ai-awards/|title = NVIDIA Leaders Honored at VentureBeat Transform 'Women in AI Awards'|date = 17 July 2020}}
• 2017 Caltech Bren Chair
• 2015 Google Research Award{{Cite web|url=http://ai.googleblog.com/2016/02/google-research-awards-fall-2015.html|title=Google Research Awards: Fall 2015|website=Google AI Blog|date=12 February 2016 |access-date=2019-01-07}}
• 2015 Air Force Office of Scientific Research Young Investigator Award{{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}}
• 2015 University of California, Irvine Early Career Research Award{{Cite web|url=https://conferences.oreilly.com/strata/strata-ca-2017/public/schedule/detail/58431|title=Office Hour with Anima Anandkumar (UC Irvine): Big data conference: Strata + Hadoop World, March 13 - 16, 2017, San Jose, CA|last=Anandkumar|first=Anima|website=conferences.oreilly.com|access-date=2019-01-07}}
• 2014 Sloan Research Fellowship{{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}}
• 2013 Microsoft Faculty Fellowship{{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}}
• 2013 Army Research Office Young Investigator Award
• 2013 National Science Foundation CAREER Award
• 2011 ACM SIGMETRICS Best Paper Award
• 2009 ACM SIGMETRICS Best Thesis Award{{Cite web|url=http://acsp.ece.cornell.edu/honors.html|title=Honors and Awards|website=acsp.ece.cornell.edu|access-date=2019-01-07}}
• 2008 IEEE Signal Processing Society Best Paper Award{{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}}

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