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A little bit about Sara Hooker:

“I lead Cohere For AI, a non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research.

Prior to Cohere, I was a research scientist Google Brain doing work on training models that go beyond test-set accuracy to fulfill multiple desired criteria -- interpretable, compact, fair and robust. I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world.

I founded a local Bay Area non-profit called Delta Analytics that works with non-profits and communities all over the world to build technical capacity and empower others to use data. Delta Analytics is entirely volunteer run. I remain an advisor to Delta Analytics.

I taught myself machine learning and hope to help others do the same. Sean and I were excited to do this podcast to connect with each other about machine learning, and also to make some of the ideas debated by researchers accessible to a wider audience.

Fun fact: two years ago I started painting. Variance in quality is admittedly high. ”

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A little bit about Sean Hooker:

“I am currently a Software Developer in London. I have recently completed a Masters in Computer Science at the University of Warwick. Prior to this, I studied Mathematics and Statistics during my undergraduate degree at Newcastle University.

My passion for Machine Learning has really come into fruition during my postgraduate studies and my current research ideas revolve around the implications of sparsity induction within Deep Neural Networks.

This podcast has been an incredible experience as it has allowed me to meet such interesting people and discuss such compelling topics.

Fun fact: I founded a Techno music meet up society during my time in Germany!”