Lab of Computational Cell Dynamics

Our Team

Assaf Zaritsky

Principal Investigator

​

• Postdoc, Danuser lab, UT Southwestern Medical Center

• Ph.D., Computer Science, Tel Aviv University

• M.Sc., Computer Science, BGU

• B.Sc., Mathematics and Computer Science, BGU

Alon Shpigler

Ph.D. student​

​​

• B.Sc., M.Sc. Industrial Engineering, BGU

​​

Alon is developing methods for application of deep generative networks for microscopy images.

Amos Zamir

Ph.D. student

​​

• B.Sc., Computer Science, BGU 

• M.Sc., Software and Information Systems Engineering, BGU

​

Amos is investigating intercellular information transfer during collective calcium signaling. 

Oded Rotem

Ph.D. student​

​​

• B.Sc., Physics, TAU

• M.Sc., Energy Engineering, BGU

​​

Oded is developing generative deep neural networks to live imaging of developing embryo from in vitro fertilization (IVF) treatments as part of designing a "virtual embryo".

Yishaia Zabary

M.Sc. Student

​

• B.Sc., Software and Information Systems Engineering, BGU

​​

Yishaia is developing computational methods and agent-based simulations to study mechanisms of collective cell death.

Katya Smoliansky 

M.Sc. student

​​

• B.Sc., Bioinformatics, BGU  

​

Katya is applying deep generative networks to image cell data to systematically infer protein localization patterns.

Yuval Amit

M.Sc. student​

​​

• B.Sc., Computer Science, BGU

​​

Yuval is interested in how heterogeneous local non-linear dynamic events integrate in time and space to drive global emergent properties in a simple model of contractile gels.

Amit Shakarchy

M.Sc. student

​

• Software and Information Systems Engineering, BGU (direct M.Sc. track)

​​

Amit is investigating fundamental principles of muscle regeneration using quantitative live cell imaging,
and machine learning.

Naor Kolet

M.Sc. student

​

• Software Engineering, BGU (direct M.Sc. track)

​​

Naor is developing methods to measure alterations in intracellular organization via microscopy-based high-content phenotypic screening and generative neural networks.

Noam Tzukerman

M.Sc. student​

​​

• B.Sc., Computer Science, TAU

​​

Noam is using the "side information" of embryos from the same in vitro fertilization treatment cohort to improve machine-learning driven embryo assessment.

Hila Ben Ami

M.Sc. student

​

• B.Sc., Industrial Engineering, BGU

​​

Hila is developing methods to measure how cells influence each other during migration.

Lion Ben Nedava

M.Sc. student

​

• B.Sc., Electrical Engineering & Computer Science, TAU

​​

Lion is interested in understanding the potential and limitations of in silico labeling  - localizing subcellular structures from 3D transmitted light images - to make it a practical tool.

Saar Ben-David

M.Sc. student​

​​

• B.Sc., Computer Science, BGU

​​

Saar investigates how calcium signaling orchestrates emergent multicellular behavior in vivo.

Gil Baron

M.Sc. student

​

• B.Sc., Software and Information Systems Engineering, BGU

​​

Gil is benchmarking and develop new deep learning architectures for in silico labeling, localization of subcellular structures from 3D transmitted light images.

Netanel Shaked

Undergraduate research

​

• B.Sc., Software and Information Systems Engineering, BGU

​​

Netanel is developing an analysis pipeline for automated analysis of 3D brain reconstruction containing activated neurons in the adult mouse brain.