Anima Anandkumar

Anima Anandkumar holds dual positions in academia and industry. She is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. At NVIDIA, she is leading the research group that develops next-generation AI algorithms. At Caltech, she is the co-director of Dolcit and co-leads the AI4science initiative, along with Yisong Yue. She has spearheaded the development of tensor algorithms, first proposed in her seminal paper. They are central to effectively processing multidimensional and multimodal data, and for achieving massive parallelism in large-scale AI applications. Prof. Anandkumar is the youngest named chair professor at Caltech, the highest honor the university bestows on individual faculty. She is recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Faculty fellowships from Microsoft, Google and Adobe, and Young Investigator Awards from the Army research office and Air Force office of sponsored research. She has been featured in documentaries and articles by PBS, wired magazine, MIT Technology review, yourstory, and Forbes. Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018.

Posts by Anima Anandkumar

Technical Walkthrough 1

Accelerating Climate Change Mitigation with Machine Learning: The Case of Carbon Storage

We present a new generation of neural operators, named U-FNO, that empowers a novel technology for solving multiphase flow problems with superior accuracy, speed, and data efficiency. 11 MIN READ
Technical Walkthrough 0

Building a Benchmark for Human-Level Concept Learning and Reasoning

Humans have an inherent ability to learn novel concepts from only a few samples and generalize these concepts to different situations. Even though today’s… 10 MIN READ
Technical Walkthrough 0

Adding External Knowledge and Controllability to Language Models with Megatron-CNTRL

Large language models such as Megatron and GPT-3 are transforming AI. We are excited about applications that can take advantage of these models to create better… 8 MIN READ