Our Team

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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

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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.

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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. 

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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".

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

Alumni

  • 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

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