Interdisciplinary Graduate Program
How the dynamics of neural networks in the brain support the processes of learning and memory, using
theoretical tools from the worlds of mathematics and physics and analyzing data from
experiments obtained from research laboratories with which he collaborates.
Continue Reading Barak, Omri
Machine/Deep-learning applications in medical imaging, magnetic resonance imaging, medical image analysis Continue Reading Freiman, Moti
Machine Learning and Stochastic Optimization Continue Reading Levy, Kfir
Computational Molecular Biology, Systems biology, machine learning, Biological Networks, Stem cells, single cell RNA-sequencing Continue Reading Mandel-Gutfreund, Yael
Enviromatics, a new research field that aims at devising machine learning methods and mathematical models for better understanding built and natural complex environments. Continue Reading Fishbain, Barak
Applying engineering to biology: Principles of genetic circuit design and synthetic biology. Continue Reading Ramez Daniel
The basis of behavioral individuality; regulation of long-term behavior across development
mathematical modeling of metamaterials, Homogenization of partial differential equations for composite materials Continue Reading Shmuel, Gal
Electrical phenomena in point and extended biological systems; low-dimensional models of excitability. Continue Reading Marom, Shimon
The genome harbors additional codes. The genetic code was just the first one to be discovered. In order to decipher and decode the genome, we need to make a Biological Rosetta stone. Our research is dedicated to achieving this goal. Continue Reading Amit, Roee