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.

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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.

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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.

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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.


  • Assaf Nahum, M.Sc. 2021, Quantifying the dynamics of long-range cell-cell mechanical communication

  • Itay Erlich, Ph.D. 2021 (HUJI), Methods for predicting in vitro fertilization (IVF) embryo developmental potential by machine learning algorithms of video streaming data

  • Noam Tzukerman, M.Sc., 2022, Using unlabeled information of embryo siblings from the same cohort cycle to enhance in vitro fertilization implantation prediction  

  • Kathrine (Katya) Smoliansky, M.Sc., 2022, Applying in silico labeling via transfer learning as a tool to dissect organelle-organelle spatial dependencies

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