My research spans machine learning, evolutionary computation, optimization, and computational neuroscience. There is a high degree of overlap between these areas — for example, evolutionary methods are applied to optimize neural architectures, and probabilistic graphical models are used both in machine learning and in modeling brain connectivity. Click on any area below for detailed information and publications.

Research at a Glance

50+
Collaborating institutions
20+
Countries
12
Research visits abroad
70+
Talks & presentations