My Research

I find staggering the Human brain’s ability to make choices that are more flexible, efficient and robust than today’s most powered machines, in a bewilderingly complex world and under scarce resource. The overarching goal of my research is to understand the computational principles and limitations that underlie Human adaptive and efficient decision-making.

Focus: I investigate how biological and artificial neural networks encode visual inputs and their statistical structure to enable efficient inference.

Background: I am currently a postdoctoral researcher in Matthew Chalk’s lab. Previously, I held postdoctoral positions in Henry Markram and Michael Reimann’s group at the Blue Brain Project, EPFL, and in Timothy Gardner’s lab at Stanford University. I also have industry experience as a Lead Data Scientist, developing and deploying scalable machine-learning software.