Biography:

I hold a Ph.D. in Computer Science from the University of Haifa (2014). In 2014-2017, I worked as a Postdoctoral Researcher at the Network Biology Research Laboratories at Technion – Israel Institute of Technology where I developed a new experimental low-cost platform for closed-loop interactions with a cortical neuronal network and machine learning, that analyzed the activity in real-time. In 2017-2019, I worked as a Postdoctoral Research Associate at the College of Information and Computer Sciences at the University of Massachusetts Amherst. At UMass, I spearheaded the BindsNET project – an open-source Python framework that enables the rapid building of rich simulation of spiking networks. Currently, I am working as a Research Scientist at the Levin Lab at the Allen Discovery Center at Tufts University. There, I participate in various projects involving the exploration of computational abilities in non-neuronal cells or other data science projects.

Originally, my research journey started with projects on brain modeling, namely modeling of left and right hemispheres, data analysis of brain imaging, and a closed-loop system that utilized a brain-computer interface on a cortical neuronal tissue. Currently, I focus mainly on the emergent behavior of biologically inspired neuronal systems. In that regard, I explore biological and biologically inspired systems that intrinsically learn and adapt to their environment.