Vassilis Kehayas, PhD

Institute of Computer Science, F.O.R.T.H, Greece
Vassilis obtained his Ph.D. in Neuroscience from the University of Geneva. As a former experimentalist, he has extensive experience with in vivo electrophysiology, optogenetics, in vivo two-photon imaging and other microscopy techniques. Nowadays, as a postdoctoral fellow, he spends his days as a computational neuroscientist studying cortical connectivity and working with tools such as multilevel Bayesian models, graph theory, and machine learning in MATLAB and R.

Having served as a reviewer for Nature, Nature Neuroscience, Neuron, Journal of Neuroscience, and PNAS, he has an aptitude for editing research articles, and for writing original research and invited articles that have been published in Nature, Nature Communications, Neuron, and Science.

Vassilis cares a lot about effective communication, open and reproducible research, and getting to the bottom of things. He is the creator of, a science blog where he informally presents topics with a focus on computational methods. In addition to assisting with writing and editing, Vassilis can assist with statistical models, compelling data visualization, and with reviewing analysis code on systems and theoretical neuroscience.
Helping neuroscientists reach excellence through effective communication.