Find Academic Supervisors

Aryeh KontorovichView profile

Professor

• Theoretical Machine Learning
• Probability
• Statistics
• +4 more

Aryeh Kontorovich is a Professor in the Computer Science Department at Ben-Gurion University. His research primarily focuses on theoretical machine learning, with expertise in probability, statistics, Markov chains, and metric spaces. His research interests span theoretical machine learning, with particular emphasis on: Probability theory and concentration inequalities Statistical learning theory Markov chains and mixing time estimation Metric space learning Kernel methods Sample compression schemes Professor Kontorovich's recent publications (2021-2025) demonstrate a continued focus on theoretical foundations of machine learning. His work shows strong trends in statistical estimation for Markov processes, distribution learning, metric space analysis, and sample compression. Many papers explore the intersection of probability theory and machine learning, particularly examining concentration inequalities, minimax optimality, and theoretical guarantees for learning algorithms. His research consistently bridges abstract mathematical theory with practical machine learning applications. Scientific awards and recognitions: Distinguished contribution award at MLG 2007 for "A Universal Kernel for Learning Regular Languages" Professor Kontorovich has advised numerous students and collaborated extensively with researchers in theoretical machine learning. His work spans both theoretical foundations and practical applications, with significant contributions to understanding the mathematical limits of learning algorithms. While specific grant information isn't provided in the source material, his extensive publication record in top venues suggests successful funding for his research programs. He maintains active collaborations with researchers worldwide, including prominent names like L. Gottlieb, D. Berend, and S. Hanneke.

Danny DolevView profile

Professor

• Distributed Computing
• Fault-Tolerant Systems
• Algorithms
• +4 more

Prof. Danny Dolev is a distinguished academic holding the Berthold Badler Chair in Computer Science at The Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering. He is an ACM Fellow and IEEE Fellow. His research focuses on distributed computing, fault-tolerant systems, algorithms, and secure protocols. He has held leadership roles, including Director of his school (1999–2002) and Chair of the Israeli National Committee for Information Technology (1994–1998). Education: B.Sc., The Hebrew University of Jerusalem, 1971 M.Sc., Weizmann Institute of Science, 1973 PhD., Weizmann Institute of Science, 1979 Research Interests: Danny Dolev's work spans distributed algorithms, Byzantine fault tolerance, consensus protocols, and hardware algorithms. His contributions include groundbreaking research on self-stabilizing systems, secure communication, and fault-tolerant clock synchronization. His HEX and Chronos protocols exemplify innovations in scalable synchronization and network security. Publications: His recent work emphasizes Byzantine agreement, asynchronous fault tolerance, and game-theoretic distributed systems. Key papers address optimal resilience in consensus algorithms and secure multi-party computation. Awards: ACM Fellow (2010) IEEE Fellow (2004) Grants & Leadership: Member of the Scientific Council, European Research Council (2010–2014) Chair of Israel's National Committee for Information Technology (1994–1998) Leadership roles at IBM Almaden Research Center (1987–1993) and Stanford University (1979–1981) Labs & Teams: His research group at Hebrew University focuses on distributed systems, with collaborations on projects like Steward (wide-area Byzantine replication) and Self-Stabilizing Circuits .

Omri AbendView profile

Associate Professor

• Computational Linguistics
• Natural Language Processing
• Semantic Representation
• +9 more

Omri Abend is an Associate Professor at The Hebrew University of Jerusalem, affiliated with the School of Computer Science and Engineering and serving as Chair of the Department of Cognitive and Brain Sciences. His research lies at the intersection of Computational Linguistics, Natural Language Processing, and Cognitive Science, with a focus on semantic representation and language acquisition modeling. His primary research interests include: Computational modeling of child language acquisition Semantic representation frameworks, particularly Universal Conceptual Cognitive Annotation (UCCA) Statistical learning and machine translation Unsupervised grammar learning and lexical relation induction Cross-lingual and cross-domain alignment in language models Evaluation methodologies for NLP systems His recent publications demonstrate a strong trend toward analyzing large language models (LLMs), exploring human-like patterns in AI, improving evaluation metrics, and applying NLP to humanitarian domains such as Holocaust testimony analysis. His work combines theoretical linguistic insights with practical machine learning applications. Scientific awards include: Outstanding Paper Award at ACL 2017 Area Chair Award for Best Paper in the Track at ACL 2023 He has supervised and collaborated with numerous researchers and students across projects in semantic parsing, machine translation, and cognitive modeling. His work has been supported by community-wide initiatives such as the MRP shared tasks, which he co-organized. He also leads research on ethical AI, open human feedback, and the computational analysis of historical narratives. Omri Abend leads several research teams focused on: The development and application of the UCCA framework for semantic annotation Cross-lingual and cross-domain knowledge representation in LLMs Computational modeling of language acquisition Evaluation and improvement of NLP systems Application of NLP to digital humanities and historical testimony analysis

Jonathan KahanaView profile

Researcher

• Machine Learning
• Computer Vision
• Representation Learning
• +5 more

Jonathan Kahana is a Researcher in the Computer Science department at the Hebrew University of Jerusalem . His research spans Machine Learning and Computer Vision , focusing on Weight Space Learning , Representation Learning , and Zero-Shot Model Search . He develops methods for probing neural network weights to extract information, including ProbeGen and Spectral DeTuning . His recent work includes mapping model weights into shared embedding spaces (ProbeX), recovering pre-fine-tuning weights of generative models, and improving zero-shot labeling with distribution priors. He contributes to open-source implementations, such as the ProbeGen GitHub repository. Research trends from his publications emphasize: Weight space analysis (ProbeGen, DSiRe) Model retrieval and classification (ProbeLog, Model Atlas) Disentanglement and invariance (Contrastive Objective, Red PANDA) Efficiency in probing (30-1,000x FLOPs reduction in ProbeGen) His work has been accepted at top-tier conferences including ICML , ICLR , and ECCV , with arXiv preprints covering topics like dataset size recovery and model tree analysis.

Roni KatzirView profile

Professor

• Formal Semantics
• Computational Linguistics
• Linguistic Theory
• +7 more

Prof. Roni Katzir is a faculty member in the Department of Linguistics at Tel Aviv University, affiliated with the School of Languages. He specializes in formal semantics, computational linguistics, and linguistic theory, with a focus on grammar induction, neural networks, and Minimum Description Length principles. His research integrates theoretical linguistics with cognitive science, exploring topics like large language models (LLMs), scalar implicatures, and phonological learning. He collaborates extensively with researchers such as Nur Lan, Emmanuel Chemla, and Danny Fox, contributing to venues like Linguistic Inquiry , Natural Language Semantics , and ACL conferences. Education details are not explicitly listed, but his work reflects advanced expertise in linguistics and computational methods. Research interests emphasize cognitive plausibility in grammar learning, communicative stability, and the application of computational models to linguistic theory. Publications span over two decades, with recent focus on LLMs' implications for linguistic cognition, neural network generalization, and MDL-based frameworks. His work bridges formal semantics, syntax, and phonology, addressing challenges in language learning and processing. Prof. Katzir's contributions include pioneering the use of Minimum Description Length in linguistic learning models and advancing understanding of logical operators' typological distribution. He maintains an active research lab and collaborates internationally, as evidenced by his co-authored works and conference presentations.

Liran CarmelView profile

Professor

• Ancient DNA Analysis
• Human Evolution
• Paleo-epigenetics
• +5 more

Prof. Liran Carmel is a Professor of Genetics at the Hebrew University of Jerusalem's Alexander Silberman Institute of Life Sciences (Faculty of Science). His lab focuses on ancient DNA analysis to study human evolution, paleo-epigenetics, and molecular evolution. Recent work includes reconstructing Denisovan anatomy through epigenetic maps and analyzing Bronze Age population dynamics in the Southern Levant. Research Interests: Decoding genetic and epigenetic changes driving human evolution Reconstructing ancient DNA methylation patterns Studying RNA biology mechanisms like splicing and nonsense-mediated decay Developing computational tools for paleogenomics (e.g., RoAM, Gene ORGANizer) Key Achievements: Identified Denisovan morphological traits through epigenomic analysis Discovered Neolithic-era metabolic adaptations via ancient methylation studies Received the 2021 Massry Prize and 2020 Science Breakthrough award Lab Activities: Current members: 4 PhD students, 1 MSc student, lab managers, and programmers Alumni include 19 researchers now in academia and industry roles worldwide Hosts annual retreats and collaborates internationally on projects like the Punic genome study

Idit KeidarView profile

Professor

• Fault-tolerant distributed algorithms
• Concurrent systems
• Distributed storage
• +5 more

Idit Keidar is currently the Dean of the Viterbi Faculty of Electrical and Computer Engineering at the Technion - Israel Institute of Technology, where she also holds the Lord Leonard Wolfson Academic Chair. She received her BSc, MSc, and PhD (all summa cum laude) from the Hebrew University of Jerusalem in 1992, 1994, and 1998 respectively, with Danny Dolev as her PhD advisor. She completed her postdoctoral studies at MIT with Nancy Lynch. Her academic lineage includes notable figures such as Copernicus, Leibniz, Jacob Bernoulli, Euler, Lagrange, Laplace, and Poisson. Keidar's research focuses on fault-tolerant distributed and concurrent algorithms and systems, with particular interest in distributed storage theory and systems, concurrent data structures and transactions, and scalable Byzantine fault-tolerance. She approaches her work with the goal of finding theoretical foundations that can help explain and improve practical implementations. Her research has significant implications for large-scale distributed systems, cloud computing, and multi-core architectures. Keidar has made substantial contributions to the field through her editorial work as editor of the ACM SIGACT News Distributed Computing Column from 2007-2013 (previously co-editing with Sergio Rajsbaum from 2000-2007). Her publications span theoretical foundations, practical applications, and educational aspects of distributed computing. The trends in her work show a consistent focus on bridging theory and practice in distributed systems, with increasing attention to large-scale systems, transactional memory, and Byzantine fault tolerance as these areas have gained practical importance. Scientific Awards and Recognition: Lord Leonard Wolfson Academic Chair Editor of ACM SIGACT News Distributed Computing Column (2000-2013) Keidar has held significant leadership positions in the distributed computing community, serving as PC Chair for PPoPP 2019 and PODC 2018, Organizing Committee Chair for DISC 2013 in Jerusalem, and PC Co-Chair for LADIS 2021. She has been actively involved with the Networked Software Systems Laboratory at the Technion. Beyond her technical work, Keidar is also a creative writer, with a short story winning 2nd place in the Shirat Ha'Mada creative writing contest for scientists.

Ido DaganView profile

Professor

• Natural Language Processing
• Textual Entailment
• Semantic Representation
• +5 more

Ido Dagan is a Professor at the Department of Computer Science at Bar-Ilan University , Israel, and founder of the Natural Language Processing (NLP) Lab . He is a Fellow of the Association for Computational Linguistics and served as ACL President (2010) and Executive Committee member (2008–2011), leading the establishment of Transactions of the Association for Computational Linguistics . Dagan’s research focuses on applied semantic processing , including textual entailment , natural semantic representation , multi-text information consolidation , and interactive text summarization . His recent work addresses attributable text generation , summary-source alignment , and cross-sentence argument detection , with applications to fact verification and hallucination detection. Key trends in his publications include cross-document coreference resolution , question-answering systems , semantic parsing , and interactive summarization . Notable collaborative projects involve UI trajectory analysis and long-context QA with Arman Cohan and Jacob Goldberger. Scientific Awards Fellow, Association for Computational Linguistics (ACL) President, ACL (2010) Executive Committee, ACL (2008–2011) Advising & Collaborations Dagan has supervised numerous PhD, MSc, and postdoctoral students since 1997, including Shachar Mirkin and Shmuel Amar . He collaborates with researchers like Ori Ernst , Avi Caciularu , and Aviv Slobodkin , with grants from institutions like IBM Haifa Scientific Center and AT&T Bell Laboratories .

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.

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.

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.

• Distributed parameter systems
• Repetitive control
• Internal model based control
• +13 more

Professor George Weiss is a Professor of Control Engineering at the Department of Electrical Engineering - Systems, Faculty of Engineering, Tel Aviv University. He has been at Tel Aviv University since October 2007, following previous appointments at Imperial College London (1998-2007), Exeter University (1996-1998), Ben-Gurion University (1991-1996), and The Weizmann Institute (1991-1992). His research bridges theoretical foundations of control systems with practical applications in renewable energy integration and power electronics. Professor Weiss earned his PhD in Applied Mathematics from The Weizmann Institute of Science in Israel in 1989 and his MEng in Control and Computer Engineering from the Polytechnic Institute of Bucharest in 1981. His academic journey includes postdoctoral positions at Virginia Tech (1989-1991) and Brown University (1988-1989). His research focuses on distributed parameter systems, repetitive control, internal model based control, passive and conservative systems, control in power electronics, and grid integration of renewable energy. He is renowned for developing the concept of "synchronverters" with Qing-Chang Zhong, enabling grid integration of large renewable energy generators. His work spans theoretical mathematical control and practical industrial applications, with significant contributions to wave energy conversion and wind turbine vibration suppression. Analysis of his recent publications reveals a strong emphasis on renewable energy applications, particularly wind and wave energy systems, alongside fundamental theoretical work on well-posed systems and distributed parameter control. His research integrates mathematical rigor with practical engineering solutions for energy conversion systems. Professor Weiss has received substantial research funding including a 4M Euro "ConFlex" grant from the European Commission (as PI) and multiple grants from the Israel Science Foundation. His work has been supported by EPSRC, the Royal Society, and industry partners including MST, Coriolis, Solar Edge, Bioness, and Synvertec. He has supervised numerous PhD students who have gone on to prominent academic positions worldwide and serves as academic responsible for the Control Teaching Laboratory. His consulting work demonstrates the practical impact of his research across the renewable energy sector.

Renana KeydarView profile

Associate Professor

• Digital Humanities
• Computational Text Analysis
• Holocaust Studies
• +5 more

Dr. Renana Keydar is an Associate Professor of Law and Digital Humanities at The Hebrew University of Jerusalem, where she serves as Academic Director of the Center for Digital Humanities (DH@HU) and heads the Alfred Landecker Lab for Computational Analysis of Holocaust Testimonies. She holds additional affiliations as a 2024-25 Fellow at Brandeis University's Institute for Advanced Israel Studies and is a core member of Edut 710, Israel's largest civil initiative documenting survivor testimonies of the October 7, 2023 attacks. Her academic credentials include a PhD in Comparative Literature from Stanford University (2015), and magna cum laude degrees in Law and Political Science from Tel Aviv University (2003). Prior to academia, she served as an advocate in Israel's State Attorney's Office - High Court of Justice Department. Keydar's pioneering research bridges computational methods with humanities scholarship, focusing on: Developing AI models for analyzing mass atrocity testimonies using NLP and machine learning Creating trauma-informed digital archives for Holocaust and contemporary crisis documentation Computational analysis of legal narratives in human rights law and international courts Ethical frameworks for applying AI to sensitive historical materials Her scholarly output demonstrates consistent focus on computational jurisprudence, with recent works examining algorithmic analysis of UN human rights recommendations, judicial attitudes toward sexual violence victims, and computational models for Holocaust testimony. Keydar has received the prestigious Alon Fellowship for outstanding young researchers and leads multiple major initiatives: Designing Edut 710's AI-powered testimony platform documenting 1,600+ accounts from October 7 attacks Developing 'distant listening' computational methods for Holocaust testimonies Directing the Future of the Past research group funded by Israel's Ministry of Science

Michael LondonView profile

Associate Professor

• Neural Coding
• Dendritic Processing
• Neuronal Noise
• +3 more

Michael London is an Associate Professor at The Hebrew University of Jerusalem's Edmond and Lily Safra Center for Brain Sciences. His research focuses on the interface between biophysical properties of neurons and information encoding, particularly nonlinear dendritic processes and neuronal noise effects. Key projects involve studying sensory systems (mouse barrel cortex) and self-generated activity (ultrasonic vocalization circuits). Techniques include patch-clamp, two-photon imaging, optogenetics, and computational modeling. Notable collaborations include work on cortical interneurons with Idan Segev and studies of adrenergic modulation with Inbal Goshen. His lab has published extensively on topics like neural coding dynamics, circuit function, and neuron-network interactions. He advises a team of ~9 PhD students and postdocs, focusing on experimental/theoretical integration. Laboratory location: Goodman Brain Sciences Building, Level 1, Room 2103. Active in neuroscience education through ELSC's PhD program and summer internships. Maintains an open-source lab website at www.mikilon.org with research tools and datasets.