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

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Amos Zamir

Ph.D. student

  • B.Sc., Computer Science, BGU 

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

Amos is developing methods for spatial network analysis and apply them to investigate 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 methods for visual interpretability of deep learning models and applies then to the domain of in vitro fertilization (IVF).

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Yishaia Zabary

Ph.D. student

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

Yishaia is developing analysis methods for sparse spatial biological networks and apply them to study collective cell death dynamics and brain vasculature structure.

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Yuval Tamir

Ph.D. student

  • B.Sc., M.Sc. Life Sciences, BGU

Yuval is investigating the interplay between cell morphology and its intracellular molecular composition and organization.

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Esraa Nsasra

Ph.D. student

  • B.Sc., M.Sc. Life Sciences, BGU

Esraa is applying deep generative networks to infer protein localization patterns.

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Amit Shakarchy

M.Sc. student

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

Amit is developing machine learning inference for live imaged single cell continuous state transitions and apply it to study myoblast differentiation and fusion.

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Naor Kolet

M.Sc. student

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

Naor is developing a method for anomaly detection in high-content image-based phenotypic screens.

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Ariel Bereslavsky

M.Sc. student

  • B.Sc., Computer Science & Math, TAU

Ariel is developing data-driven structural inference of biomolecular complexes in cells from super resolution microscopy data.

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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 developing a method for visual interpretation of image-to-image transformation models and apply it to understand in-silico organelle localization.

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Leor Ariel Rose

M.Sc. student

  • B.Sc., Software Engineering, SCE

Leor is developing an analysis pipeline for mass spectrometry imaging data and apply it to tissue samples of human glioma and triple negative breast cancer.

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Sarit Hollander

M.Sc. student

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

Sarit is developing a method to measure intracellular information transfer.

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Nitai Halle

M.Sc. student

  • B.Sc., Computer Science, BIU

Nitai is developing a method to optimize the antibody panel selection for multiplexed single cell spatial proteomics technologies.

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Nitsan Elmalam

M.Sc. student

  • B.Sc., Communication Systems Engineering, BGU

Nitsan is developing methods for inference of organelle-organelle spatial dependencies.

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Leah Wachtfogel

M.Sc. student

  • B.Sc., Computer Science & Neuroscience, BIU

Leah is investigating the brain vasculature structure in Glioblastoma (GBM) patients data.

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Noy Salomon

M.Sc. student

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

Noy is investigating the coupling between single cell signaling dynamics and multicellular synchronization.

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

  • 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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