Itay Barel

Itay Barel is a proficient data scientist with a comprehensive background in developing mathematical and theoretical models, along with statistical analysis in biophysical and physical sciences. Currently serving as a post-doctoral researcher at the University of California Santa Barbara, his work focuses on creating theoretical models and statistical methods for extracting essential parameters from molecular dynamics simulations and experimental data related to biological systems. Itay's passion lies in exploring and identifying patterns in extensive datasets, particularly leveraging machine learning algorithms to derive insights and validate predictions. With a keen interest in data analysis and deep learning, he utilizes tools like Python, Matlab, C++, and Java in his research endeavors. Itay's educational journey includes a Doctor of Philosophy in Chemical Physics, a Bachelor of Science in Computer Science, and a Bachelor of Science in Physical Chemistry from Tel Aviv University. Previously, he held roles as the Head of Software Development and Data Science at NEXA3D, a Postdoctoral Researcher at UC Santa Barbara, and a PhD student at Tel Aviv University.