I work at Google DeepMind and previously at the Google Brain Team within Google Research. I focus on bio-inspired computing, especially automated machine learning (AutoML), the combination of evolutionary computation and learning, and the relationship between natural and artificial neural networks. You can find a selection of my publications in my resume and a complete list in my Google Scholar page.

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.

You can find my contact information here.