MAITHRA RAGHU

GOOGLE BRAIN

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The Research and Applied AI Summit (RAAIS) is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology. We’ve been running for 6 years now and have hosted over fifty entrepreneurs and academics who have built billion-dollar companies and published foundational papers that drive the AI field forward. 

In the lead up to our 6th annual event that will be broadcast live online on the 26th June 2020, we’re running a series of speaker profiles highlighting what you can expect to learn on the day!

Understanding neural network representations to improve AI system design

While machine learning techniques such as transfer learning and meta-learning are increasingly popular and powerful, there are fundamental open questions on the algorithms, what representations they learn, and why they’re effective. Having a strong fundamental understanding and theory behind modern AI methods is important for creating and running large-scale, reliable AI systems in production. This is particularly true in domains such as medicine, which place a high bar on system reliability and explainability for the purposes of clinical decision support.

Welcome, Maithra!

At RAAIS 2020, we’re excited to be hosting Maithra Raghu from Google Brain where she is a Research Scientist. Maithra will be sharing her latest work on developing quantitative techniques to gain insights into deep learning representations, in particular, few-shot learning and transfer learning. Maithra uses these insights to inform AI system design and collaboration with human experts in medicine. Her work has been published in conferences such as NeurIPS, ICML, ICLR, WWW and has also been covered by many press outlets including The Washington Post, Fortune, WIRED, and Quanta Magazine. She has been named one of the Forbes 30 Under 30 in Science and an MIT Rising Star in EECS.

Most recently, Maithra published a survey of deep learning for scientific discovery with Eric Schmidt, former Executive Chairman and CEO of Google. Their work surveys a broad range of deep learning methods, new research results, implementation tips, and open source projects.

Prior to joining Google Brain, Maithra earned her PhD in Computer Science at Cornell University where she was advised by Jon Kleinberg. During her PhD, Maithra conducted extended research with Google Brain scientists Quoc Le and Samy Bengio. Prior to Cornell, she read Mathematics at the University of Cambridge. 

To find out more about Maithra's work, check out her webpage, Google scholar, and follow her on Twitter.

We’re excited to be hosting Maithra at RAAIS 2020, welcome!