Our Team
Assaf Zaritsky
Principal Investigator
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Postdoc, Danuser lab, UT Southwestern Medical Center
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Ph.D., Computer Science, Tel Aviv University
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M.Sc., Computer Science, BGU
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B.Sc., Mathematics and Computer Science, BGU
Alon Shpigler
Ph.D. student
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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.
Amos Zamir
Ph.D. student
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B.Sc., Computer Science, BGU
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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.
Oded Rotem
Ph.D. student
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B.Sc., Physics, TAU
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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).
Yishaia Zabary
Ph.D. student
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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.
Yuval Tamir
Ph.D. student
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B.Sc., M.Sc. Life Sciences, BGU
Yuval is investigating the interplay between cell morphology and its intracellular molecular composition and organization.
Esraa Nsasra
Ph.D. student
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B.Sc., M.Sc. Life Sciences, BGU
Esraa is applying deep generative networks to infer protein localization patterns.
Amit Shakarchy
M.Sc. student
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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.
Naor Kolet
M.Sc. student
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Software Engineering, BGU (direct M.Sc. track)
Naor is developing a method for anomaly detection in high-content image-based phenotypic screens.
Ariel Bereslavsky
M.Sc. student
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B.Sc., Computer Science & Math, TAU
Ariel is developing data-driven structural inference of biomolecular complexes in cells from super resolution microscopy data.
Hila Ben Ami
M.Sc. student
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B.Sc., Industrial Engineering, BGU
Hila is developing methods to measure how cells influence each other during migration.
Lion Ben Nedava
M.Sc. student
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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.
Leor Ariel Rose
M.Sc. student
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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.
Sarit Hollander
M.Sc. student
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B.Sc., Software and Information Systems Engineering, BGU (direct M.Sc. track)
Sarit is developing a method to measure intracellular information transfer.
Nitai Halle
M.Sc. student
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B.Sc., Computer Science, BIU
Nitai is developing a method to optimize the antibody panel selection for multiplexed single cell spatial proteomics technologies.
Nitsan Elmalam
M.Sc. student
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B.Sc., Communication Systems Engineering, BGU
Nitsan is developing methods for inference of organelle-organelle spatial dependencies.
Leah Wachtfogel
M.Sc. student
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B.Sc., Computer Science & Neuroscience, BIU
Leah is investigating the brain vasculature structure in Glioblastoma (GBM) patients data.
Noy Salomon
M.Sc. student
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Software and Information Systems Engineering, BGU (direct M.Sc. track)
Noy is investigating the coupling between single cell signaling dynamics and multicellular synchronization.
Alumni
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Assaf Nahum, M.Sc. 2021, Quantifying the dynamics of long-range cell-cell mechanical communication
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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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Noam Tzukerman, M.Sc., 2022, Using unlabeled information of embryo siblings from the same cohort cycle to enhance in vitro fertilization implantation prediction
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Kathrine (Katya) Smoliansky, M.Sc., 2022, Applying in silico labeling via transfer learning as a tool to dissect organelle-organelle spatial dependencies