Rami Nasser (PhD, 2025; MSc, 2021):
Protein representation learning

Lorenzo Signorini (PhD, 2025):
Inference and annotation of signaling pathways

Yair Pickholz (MSc, 2025):
Pathway enrichment analysis

Yonatan Lourie (MSc, 2025):
Clustering and classification of the dead sea scrolls

Itay Kahane (MSc, 2023):
Mutational signature analysis

Barel Mashiach (MSc, 2024):
Overlapping correlation clustering

Shani Jacobson (MSc, 2023):
Attractor finding in asynchronous Boolean networks

Neta Zadok (MSc, 2023):
Prediction of autism spectrum disorder genes

Daniel Pirak (MSc, 2022):
Network orientation

Reut Danino (MSc, 2023):
Batch correction of single cell RNA-seq data

Itay Sason (PhD, 2022):
Mutational signature analysis

Asia Gervitz (MSc, 2022):
Prediction of genetic interactions, cancer dependencies and drug sensitivities

Barak Gross (MSc, 2022):
Multi-task learning for predicting SARS-CoV-2 antibody escape

Nitay Izhacky (MSc, 2021):
Prediction of cancer dependencies from expression data using deep learning

Hadas Biran (MSc, 2019):
Network propagation

Ariel Bruner (MSc, 2020):
A robustness analysis of Boolean models of cellular circuits

Dana Silverbush (PhD, 2018):
Network annotation

Barak Sternberg (MSc, 2018):
A dynamic algorithm for network propagation

Nir Atias (PhD, 2016):
Network-based modeling of biological processes

Yael Silberberg (PhD, 2017):
Systems medicine

Dalya Gartzman (MSc, 2016):
Overlapping correlation clustering

Arnon Mazza (PhD, 2016):
Reconstruction and alignment of biological networks

Jan Rudolph (MSc, 2016):
Elucidating active proteins and signaling
pathways from phosphoproteomic data

Uri Valevski (MSc, 2015):
Predicting harmful mutations from protein sequences

Dima Bloch (MSc, 2013):
Approximation Algorithms and Hardness Results
Based Graph for Shortest Path Orientations

Shay Houri (MSc, 2013)
Sign Assignment Problems on Protein Networks

Assaf Gottlieb (Post-Doc, 2012):
Methods for Predicting Drug Properties

Oded Magger (MSc, 2011):
Enhancing the Prioritization of Disease Causing Genes
Through Tissue-Specific Protein-Protein Interaction Networks

Liram Vardi (MSc, 2011):
A Linearized Constraint Based Approach
for Modeling Signaling Networks

Liat Perlman (MSc, 2010):
Combining Drug and Gene Similarity Metrics
for Drug-Target elucidation

Misael Mongiovi (Post-Doc, 2010):
Methods for Network Alignment and Querying

Tomer Benyamini (MSc, 2010):
Computational Metabolic Modeling of Cellular Growth

Inbar Cohen-Gihon (PhD, 2010):
Domain-Based Evolution of Protein Networks

Tal Peleg (MSc, 2010):
Network-Free Inference of Knockout Effects in Yeast

Nir Yosef (PhD, 2009):
Functional Models of Cellular Response to Perturbation

Oron Vanunu (MSc, 2009): (MSc, 2009)
Associating Genes and Protein Complexes
with Disease via Network Propagation

Sharon Bruckner (Hüffner) (MSc, 2009):
Topology Free Querying of Protein
Interaction Networks

Sasha Medvedovsky (MSc, 2009):
An Algorithm for Orienting Graphs Based on Cause-
Effect Pairs and its Applications to Orienting Protein networks

Liron Levkovitz (MSc, 2009):
Identification of Enriched Transcription Factor
Binding Sites in the Promoters of Co-Expressed Genes

Shaul Karni (MSc, 2009):
A Network-Based Method for Predicting
Disease Causing Genes

Tomer Shlomi (PhD, 2008):
Functional Models and Building Blocks
of Metabolic and Protein Networks

Maxim Kalaev (MSc, 2008):
Algorithms and Tools for the Alignment of
Multiple Protein Networks

Guy Geva (MSc, 2008):
Identification of Protein Complexes from
Co-Immunoprecipitation Data

Oved Ourfali (MSc, 2007):
SPINE: A Framework for Signaling-Regulatory
Pathway Inference from Cause-Effect Experiments

Eitan Hirsh (MSc, 2007):
Identification of Conserved Protein Complexes
Based on a Model of Protein Network Evolution