Lab of Computational Cell Dynamics

Computational cell dynamics

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

Lion is developing a method for visual interpretation of image-to-image transformation models and applying it to in-silico organelle localization.

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

Gad is developing a method for local assessment of the confidence of image-to-image transformation models and applying it to in-silico organelle localization

Omer is developing a method for inference of organelle alterations by combining supervised interpretable AI and in silico labeling.

Orit is mentoring students in multiple diverse projects, advising on computational and technical issues, formulating challenging research questions and keeping contact with collaborators

Esraa is developing methods for quantitative spatiotemporal characterization of heterogeneous collective cell death

Leor is developing methods for analysis and integration of multimodal bioimaging data.

Mark is developing methods to analyze spatial metallomics data and apply them to triple negative breast cancer patient samples

Alon is developing computational methods for data-driven early prediction of a tissue rigidity phase transition in zebrafish morphogenesis

Oded is developing methods for visual interpretability of deep learning models and applying them to biomedical images

Guy is developing network-based representations to measure cell biological state transitions for intracellular and for tissue organization

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

Reut is developing methods to analyze fluorescence lifetime imaging microscopy (FLIM) in the context of triple negative breast cancer patient samples

Omri is working on data-driven modeling of inter-organelle dynamic interactions throughout differentiation with multispectral live imaging.