Summary

I am a senior staff research scientist at Google DeepMind. Previously, I was at the Google Brain Team in Google Research. My research centers on bio-inspired computing, especially automated algorithm discovery, evolutionary computation, and the relationship between natural and artificial neural networks. I now focus on simultaneous symbolic–continuous optimization, such as is needed for architecture search or program/equation discovery.

You can find a selection of my publications in my resume and a complete list in my Google Scholar page. I am now developing an interest in AI safety.

Before Google, I did a physics Ph.D. under the supervision of Markus Meister (biology department) at Harvard University. My dissertation studied the neurophysiology of the retina from a machine learning standpoint. I built neural network models with correct anatomical structure to learn from their living biological counterparts. By learning to predict what the eye would tell the brain, these machine learning models also discover internal retinal physiology.

My contact information is here.