Find Academic Supervisors

Oren WeimannView profile

Professor

• Theoretical Computer Science
• Design and Analysis of Algorithms
• Data Structures
• +9 more

Oren Weimann is a Professor in the Department of Computer Science at the University of Haifa, Faculty of Natural Sciences. His research lies at the intersection of theoretical computer science, algorithm design, and data structures, with a strong focus on planar graphs, combinatorial pattern matching, and fine-grained complexity. He has published extensively in top-tier venues such as STOC, SODA, ICALP, PODC, and ESA. Education: Ph.D., Massachusetts Institute of Technology (MIT), 2005–2009. Advisor: Erik Demaine. Dissertation: "Accelerating Dynamic Programming" Postdoc, Weizmann Institute of Science, 2009–2011. Host: David Peleg M.Sc., University of Haifa, 2004–2005. Advisor: Gad Landau. Dissertation: "Using PQ trees for Comparative Genomics" B.A., Technion – Israel Institute of Technology, 1999–2002 Oren Weimann's research centers on the design and analysis of efficient algorithms, particularly for planar and structured graphs. His work explores fundamental problems such as shortest paths, distance oracles, fault tolerance, edit distance, and pattern matching. He investigates both upper and lower bounds, often pushing the limits of what is computationally feasible under fine-grained complexity assumptions. His contributions include optimal labeling schemes, compressed data structures, and breakthroughs in dynamic and distributed graph algorithms. His recent publications reveal a consistent trend in developing highly efficient algorithms for planar graphs, with a focus on distance computation, fault tolerance, and compression. Keywords across these works include planar graphs, dynamic programming, string matching, and conditional lower bounds, reflecting a deep integration of algorithmic techniques and complexity theory. He frequently collaborates with leading researchers such as Shay Mozes, Paweł Gawrychowski, and Philip Bille. Scientific Awards: Best Paper Award, CPM 2007 Best Paper Award, ICALP 2020 (mentioned in context of work) Oren Weimann has advised numerous PhD and Master’s students, including Yaseen Abd-Elhaleem, Nathan Wallheimer, Aviv Bar-natan, and Shon Feller, whose dissertations have led to publications in major conferences. He has also mentored several postdoctoral researchers such as Shay Golan, Itai Boneh, and Panagiotis Charalampopoulos. His work has been supported by competitive research grants, though specific grant titles are not listed in the text. He has served on the program committees of key conferences including SODA, ICALP, CPM, ESA, and SPIRE, demonstrating active leadership in the theoretical computer science community. He is associated with a vibrant research group focused on algorithms and data structures, likely involving collaboration with students and postdocs on projects related to graph algorithms, string processing, and complexity. While no formal lab name is mentioned, his collaborative output suggests a strong, productive research team at the University of Haifa.

Michael ElkinView profile

Professor

• Theoretical Computer Science
• Discrete Mathematics
• Graph Algorithms
• +8 more

Michael Elkin is a Professor in the Department of Computer Science at Ben-Gurion University of the Negev, Israel. His research focuses on Theoretical Computer Science, Discrete Mathematics, and Algorithms, with specializations in graph algorithms, distributed computing, and metric embeddings. He has held editorial roles, including Associate Editor of the Journal of Computer and System Sciences, and has contributed to numerous program committees for top conferences like FOCS and SODA. Elkin's research interests include low-distortion embeddings, streaming and dynamic graph algorithms, and approximation algorithms. His work bridges distributed and centralized algorithm design, with applications in network optimization and computational geometry. Recent trends in his publications emphasize efficient spanner constructions, symmetry-breaking in distributed systems, and algorithmic approaches to graph coloring and metric spaces. Elkin has advised multiple PhD and Master’s students, including Leonid Barenboim (winner of the 2015 Distributed Computing Doctoral Dissertation Award) and Shay Solomon. He has been awarded Best Paper and Best Student Paper awards at PODC conferences for groundbreaking contributions to distributed algorithms. Additionally, he leads a postdoctoral research group focusing on graph algorithms and metric embeddings, collaborating with Eden Chlamtac and Ofer Neiman. Teaching highlights include courses on Distributed Algorithms, Design of Algorithms, and Metric Graph Algorithms. His academic service includes organizing academic programs and mentoring early-career researchers in theoretical computer science.

Nir KalismanView profile

Senior Lecturer

• Structural Biology
• Mass Spectrometry
• Computational Structural Modeling
• +3 more

Dr. Nir Kalisman is a Senior Lecturer in the Department of Biological Chemistry at The Hebrew University of Jerusalem's Silberman Institute of Life Sciences. His research focuses on structural biology of large protein complexes using cross-linking mass spectrometry (XL-MS) and computational modeling. He leads the Kalisman Lab, which pioneers methods to study protein interactions in systems like the SARS-CoV-2 proteins and neuronal synapses. PhD in Computer Science (Ben-Gurion University, 2008) Postdoc in Michael Levitt's Lab at Stanford University (2008–2013) Research interests include XL-MS method development, integrative structural modeling, and low-resolution crystallography applications. Key projects involve: Deciphering architectures of SARS-CoV-2 proteins (Nsp1, Nsp2, Nucleocapsid) Protein complex studies in neurobiology and transcription Formaldehyde cross-linking chemistry analysis Publications span structural biology innovations and protein interaction studies. Lab members include graduate students and specialists in mass spectrometry. Software contributions include tools for cross-link interpretation and sequence inference from crystallographic data.

Oren KolodnyView profile

Professor

• Ecological Dynamics
• Evolutionary Biology
• Microbiome-Host Interactions
• +4 more

Dr. Oren Kolodny is a Professor in the Department of Ecology, Evolution & Behavior at the Hebrew University's Silberman Institute for Life Sciences. His research focuses on modeling ecological and evolutionary dynamics, with emphasis on microbiome-host interactions, human prehistory, and conservation biology. He leads a lab exploring topics like species dynamics in fragmented landscapes, cultural evolution, and disease ecology. Key research themes include the role of microbiomes in host adaptation, the ecological mechanisms behind Neanderthal replacement by modern humans, and the application of computational models to microbiome diversity and disease transmission. His work integrates theoretical frameworks with empirical data, addressing both basic science and conservation challenges. Dr. Kolodny's recent publications emphasize interdisciplinary approaches, combining epidemiological modeling (SIR+ models) with evolutionary perspectives on cultural innovation and invasive species dynamics. He collaborates widely, bridging fields such as anthropology, microbiology, and computational biology. His lab actively engages in citizen science initiatives, e.g., amphibian conservation programs in Mediterranean urban areas. Despite no listed awards here, his impactful contributions are evident through prolific publication and cross-disciplinary research activity.

Ram OrenView profile

Professor

• Chromatin biology
• Epigenomic mechanisms
• Cellular differentiation
• +7 more

Prof. Ram Oren is a Principal Investigator at the Hebrew University of Jerusalem's Department of Epigenomics Biological Chemistry. His research focuses on chromatin dynamics and epigenomic mechanisms during cellular differentiation, leveraging single-cell technologies. He holds a Professorship and leads a multidisciplinary team integrating microfluidics, computational biology, and molecular biology. Research interests include enhancer regulation, cellular heterogeneity, and chromatin-cell cycle interactions. Notable achievements include ERC grants (Consolidator 2024, Starting 2016) and advancing single-cell epigenomic tools for cancer research. His lab's recent work revealed DNA methylation's role in enhancer heterogeneity during stem cell differentiation. Awards include the 2024 University Award of Excellence for group member Adi Alajem Melcer. Current projects aim to develop technologies for detecting drug-resistant cancer cell mutations at single-cell resolution.

Eran YahavView profile

Professor

• Programming Languages
• Software Engineering
• Program Analysis
• +12 more

Eran Yahav is a Professor in the Computer Science Department at the Technion, Israel Institute of Technology, and serves as CTO at Tabnine. His research bridges programming languages, software engineering, program analysis, and machine learning, focusing on program synthesis, verification, and code intelligence. Research Interests: His work spans program synthesis , abstract interpretation , verification of concurrent systems , binary analysis , and AI for code . He leads the PRIME project, which uses machine learning and static analysis to enable programming with millions of examples, improving code completion, search, and prediction. The recent publications reflect a strong trend toward integrating neural models with program analysis—using structured representations of code (e.g., AST paths) for property prediction, generating sequences from code (code2seq), learning distributed representations (code2vec), and interpreting neural networks via automata extraction. His work consistently appears in top-tier venues such as POPL, PLDI, ICSE, OOPSLA, and ICLR. Scientific Awards: Best paper award at ISSTA'07 Best paper award at ISSTA'06 Advising and Grants: He has advised numerous PhD and Master’s students, many of whom have published in premier conferences and now hold academic or industry positions. While specific grants are not mentioned, his sustained high-impact research and leadership in major projects (e.g., PRIME, Fender, SAFE) imply significant funding support. He has served on program committees for PLDI, POPL, CAV, OOPSLA, and VMCAI, reflecting his standing in the programming languages and verification communities. Labs and Teams: He leads a research group focused on program analysis and synthesis, with strong collaborations, particularly with Martin Vechev and others, on concurrency, synthesis, and machine learning for code. The group has developed influential tools such as PRIME, code2seq, code2vec, TRACY, and SAFE.

Yissachar NissanView profile

Professor

• Immunology
• Cancer Research
• Autoimmune Diseases
• +5 more

Prof. Yissachar Nissan is a faculty member at the Goodman Faculty of Life Sciences at Bar-Ilan University , where he leads research on Immunology and Cancer Research . His work focuses on the intercellular communication networks between the intestinal immune system, microbiome, nervous system, and epithelium. Research Interests: Immunology, Cancer Therapeutics, Host-Microbiota Interactions, Autoimmune Diseases, Systems Biology, and Biotechnology. Key Projects: Neonatal microbiota development, Autoimmune disease mechanisms, Chemotherapy-microbiome interactions, and Gut organ culture system innovation. His lab developed the Gut-Ex-Vivo System (GEVS) and 3D gut organ culture to study real-time host-environment dynamics. His publications span Cell , Nature , and PNAS , with emphasis on neuro-immune-microbiome crosstalk and personalized medicine. Students: Hadar Bootz, Valeriia Ivanova, Hadar Romano, Gitali Naim, Ofir Azriel, Yasmin Reich, Shahaf Yosef, Roey Forbat, Marie Grishevsky, Hadar Gilberg, Shira Pasternak, Ella Tamir, and Nili Barda. Contact: Office in the Institute of Nanotechnology and Advanced Materials (Building 206, 7th floor, Room C-769) , email nissany1@gmail.com . Lab Affiliations: Goodman Faculty of Life Sciences, Gonda Multidisciplinary Brain Research Center, and Bar-Ilan Institute for Nanotechnology and Advanced Materials.

Shay MoranView profile

Associate Professor

• Machine Learning Theory
• Computational Learning Theory
• Statistical Learning Theory
• +7 more

Shay Moran is an Associate Professor at the Faculty of Mathematics , Technion - Israel Institute of Technology, with affiliations to the Faculties of Computer Science and Data and Decision Sciences . They are also affiliated with Google Research in Tel Aviv . Shay's research interests center on mathematical problems inspired by learning theory and computer science , particularly in areas like machine learning theory, differential privacy, algorithmic stability, and online learning . Their work bridges abstract mathematics with practical algorithm design. Recent publications highlight trends in reductions between learning models, geometric interpretations of learning problems, and privacy-preserving algorithms . Key themes include sample compression, PAC learnability, boosting mechanisms, and adversarial robustness . Best Paper Runner-up , COLT 2021 Best Paper Award , COLT 2020 Final Award for Outstanding Paper in Machine Learning Shay has supervised numerous PhD and Master's students, including Vanessa Kosoy, Liza Nesterova, Hilla Schefler, Alexander Shlimovich, Tom Waknine , and Iska Tsubari . Former advisees include Idan Mehalel (PhD, co-advised with Yuval Filmus) and Zachary Chase (Postdoc) .

Roi ReichartView profile

Professor

• Artificial Intelligence
• Cognitive Science
• Digital Healthcare
• +4 more

Roi Reichart is a Professor at the Faculty of Data and Decision Sciences, Technion - Israel Institute of Technology, where he directs the Natural Language Processing (NLP) research group. He holds the Schmidt Career Advancement Chair in Artificial Intelligence and serves as Co-editor in Chief of the Transactions of the Association for Computational Linguistics (TACL) . His research focuses on robust and sample-efficient NLP methods, causality, and multi-modal learning integration with applications in neuroscience, mental health, and digital healthcare. Artificial Intelligence Cognitive Science Digital Healthcare Machine Learning Natural Language Processing Multi-modal Learning Reichart actively collaborates with industry as a chief scientist and consultant, including roles at suridata.ai (acquired by Fortinet), Yahoo!, Gong.io, and Meta. He also co-edits a special issue on AI in Alzheimer’s disease research in the DADM journal. Scientific awards include: Senior Area Chair Best Paper Award (NNACL 2025) ELLIS Fellowship

Dan GarberView profile

Associate Professor

• Machine Learning
• Continuous Optimization
• Large-Scale Data Analysis
• +2 more

Dan Garber is an Associate Professor at the Faculty of Data and Decision Sciences at the Technion - Israel Institute of Technology. He joined the faculty in 2017 after completing his Ph.D. at the Technion (2015) and a year as a Research Assistant Professor at Toyota Technological Institute in Chicago (2016). His research bridges machine learning, continuous optimization, and algorithm design, focusing on developing efficient methods for high-dimensional optimization with applications in data science and machine learning. Education: B.Sc. in Computer Engineering (2010), Technion M.Sc. in Computer Science (2012), Technion Ph.D. in Computer Science (2015), Technion Garber leads the Technion Optimization Lab (TOL) , which specializes in foundational research on continuous optimization methodologies and their applications in engineering, medicine, and industry. His work emphasizes theoretical guarantees for scalable algorithms, including those used in large-scale data analysis and sequential decision-making systems. Funding & Awards: Israel Science Foundation grants (2018-2022, 2022-2026, ~$250,000 each) ERC Consolidator Grant (2025-2030, ~1.785M Euro) Best Student Paper Award at COLT Conference (2022) with Ben Kretzu Garber supervises graduate students in optimization and machine learning, including M.Sc. and Ph.D. candidates. His laboratory supports research projects and disseminates advancements through workshops, schools, and seminars. Contact: dangar@technion.ac.il | Office: Bloomfield 406

Zvi LotkerView profile

Lecturer

• Computer Networks
• Distributed Systems
• Mobile Computing
• +1 more

Zvi Lotker is a Lecturer in the Department of Communication Systems Engineering at Ben-Gurion University. His research focuses on computer networks, distributed systems, and mobile/wireless computing. Education: Ph.D. in Electrical Engineering (2003), Tel-Aviv University, Israel. Dissertation: Algorithms in Networks under Prof. Boaz Patt-Shamir. M.Sc. in Mathematics (1998), Tel Aviv University. Thesis: On the d distance between iid and Markov process under Prof. Meir Smordinsky. B.Sc. in Mathematics & Computer Science (1991), Ben-Gurion University. B.Sc. in Industrial Engineering (Information Systems track, 1991), Ben-Gurion University. No scientific awards, grants, or advised students are listed in the provided information.

Miri I. BarakView profile

Professor

• Innovative Thinking and Project-Based Learning
• Technology-Enhanced Learning
• Science Education
• +7 more

Miri I. Barak is a Professor at the Technion - Israel Institute of Technology in Haifa, Israel. Her research focuses on innovative thinking , technology-enhanced learning , and project-based education , with a strong emphasis on science education and massive open online courses (MOOCs) . She has developed tools like the Flexible Thinking in Learning (FTL) scale and platforms such as Wandering and AugmentedWorld to promote interactive and location-based learning. Key Research Areas: Innovative thinking in hybrid/online environments Flexible thinking and adaptability in education Impact of cultural background on learning outcomes Design of educational games and escape rooms Motivation in MOOCs and language effects Her recent work explores AI ethics education and educational escape games for nutrition and science engagement. She has published extensively in journals like Computers & Education and Thinking Skills and Creativity , addressing topics such as team diversity, self-regulation, and knowledge-sharing systems like MOSAICA . No scientific awards or student advising details were explicitly mentioned in the provided texts.

Miri AdlerView profile

Senior Lecturer

• Tissue Biology
• Cell-Cell Communication
• Fibrosis Research
• +4 more

Dr. Miri Adler is a Senior Lecturer (Assistant Professor) at the Alexander Silberman Institute of Life Sciences and the Faculty of Medicine at the Hebrew University of Jerusalem, and a visiting scientist at Yale University's Tananbaum Center. Her research focuses on uncovering universal principles of tissue organization and function, particularly in health and disease, with an emphasis on fibrosis, cell-cell communication circuits, and systems-level analysis of complex biological networks. She leads a multidisciplinary team combining theoretical models, computational methods, and experimental data to study tissue repair, homeostasis, and pathological processes like fibrosis. Education: Ph.D. in Physics (Weizmann Institute, 2019), M.Sc. in Physics (Weizmann Institute, 2013), B.Sc. in Physics (Technion, 2010). Previous positions include postdoctoral fellowships at the Broad Institute (MIT/Harvard) and Weizmann Institute, and a visiting scientist role at Yale. Research interests span network hyper-motifs, division of labor in tissues, fibrosis mechanisms, and fold-change detection in biological systems. Key contributions include identifying fibrosis subtypes (‘cold’ and ‘hot’) and developing theoretical frameworks to predict therapeutic targets. Her work integrates concepts from mathematics, computer science, and physics with biology. Scientific awards include the Alon Fellowship (2024), EMBO Excellence in Life Sciences Fellowship (2020), and the Lee A. Segel Prize in Theoretical Biology (2017). The lab actively seeks students and researchers in computational biology, systems biology, and mathematical modeling. Advising: Supervises graduate and undergraduate students in projects related to tissue dynamics, network analysis, and fibrosis modeling. Collaborates with experimental labs to validate theoretical predictions in heart, lung, and liver tissues. Current team includes postdocs, M.Sc. students, and undergraduate researchers. Labs & Teams: The Adler Lab at Hebrew University focuses on multidisciplinary approaches to tissue biology, with a particular emphasis on fibrosis and systems-level tissue organization. Collaborations span institutions including Yale University and the Broad Institute.

Gili GreenbaumView profile

Assistant Professor

• Ecological genomics
• Evolutionary modeling
• Conservation genomics
• +3 more

Dr. Gili Greenbaum is an Assistant Professor at The Hebrew University of Jerusalem's Department of Ecology, Evolution and Behavior. His research focuses on computational population genomics, addressing eco-evolutionary processes through genomic data analysis and mathematical modeling. Key areas include conservation genomics, gene drive technology, and human evolution under disease pressures. He leads a lab with interdisciplinary collaborations, advising students across biology, mathematics, and computer science disciplines. Research emphasizes genomic approaches for endangered species conservation, particularly fragmentation impacts on population genetics. Projects also explore gene drive deployment risks and ecological modeling of ancient human interactions with Neanderthals. His lab develops tools like DORA for ancient DNA visualization and modelRxiv for model sharing. Current projects include predicting conservation risks using machine learning, studying immune-related genomic signatures in human populations, and modeling social evolution dynamics. The lab collaborates with institutions globally and offers training opportunities for graduate students and postdocs in computational biology and theoretical ecology.

Alon ZaslaverView profile

Professor

• Systems Biology
• Neurogenetics
• Neural Circuits
• +5 more

Prof. Alon Zaslaver is a Professor in the Department of Genetics at the Hebrew University of Jerusalem's Institute of Life Sciences. He leads the Zaslab, an interdisciplinary Systems Biology lab combining molecular genetics, computational modeling, and neurobiology. His work focuses on understanding neural circuits and gene networks in C. elegans, particularly in learning/memory mechanisms and sensory processing. Research Interests: Computation in neural circuits with single-neuron resolution Plasticity in neural networks (aging, neurodegeneration) Epigenetic memory transmission across generations Evolutionary genomics of transcription networks Neuro-developmental disorders modeling Gut-brain axis signaling Awards & Grants: ERC Starting Grant 2013: 'Design Principles in Encoding Complex Noisy Environments' Farkas-Himsley 2016 Award for Young Researchers Lab Team: PhD students: Eddie Bokman (computational biology), Yuval Balshayi (physics-based modeling) MSc students: Neta Barlam (neurodevelopmental disorders), Omri Babay (memory mechanisms) Alumni: Dr. Rotem Ruach (data scientist at Prospera Technologies)