جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Massimo Lopes is a Full Professor and Chair of the Board of Directors at the Institute of Molecular Cancer Research, University of Zurich. His research focuses on DNA replication stress, genome instability, and their role in cancer development and therapy. He has held various academic positions at the University of Zurich since 2005, including SNF Assistant Professor, Assistant Professor, and Associate Professor, before his current role since 2023. He also coordinates the Master in Cancer Biology program. Education: M.S. in Biology, University of Milano, Italy (1992-1997) Ph.D. in Genetics, University of Milano (1997-2000) His work explores replication fork dynamics, transcription-replication conflicts, and mechanisms of replication stress-induced tumorigenesis using molecular biology, cell biology, and single-molecule approaches. He investigates nuclear responses to replication stress and its implications for stem cells and tissues. His publications reveal trends in DNA replication, repair mechanisms, and cancer biology, with keywords spanning Molecular Biology, Genetics, and Genomics. Scientific Awards: 2001 AGI Award 2002 HFSP Fellowship 2002 SIBBM Award 2002 Premio Cecilia Cioffrese 2003 Charles Rodolphe Brupbacher Award 2005 Roche Fellowship 2006 Ernst Th. Jucker Award 2007 SNSF Professorship 2012 EMBO Young Investigator 2013 Götz Prize 2013 ERC Consolidator Grant 2017 WBW Young Investigator Award He has advised numerous PhD and MSc students, including Andrea Sanchi, Veronica Cherdyntseva, and Tristan Gasparetto. Collaborations span institutions like IRB (USI), CEDC (Université Paris Cité), and King's College London. Labs and Teams: The Lopes Lab at University of Zurich investigates replication stress, nuclear dynamics, and cancer mechanisms, with active projects in replication fork remodeling, transcription conflicts, and DNA repair. Social events include lab retreats, summer outings, and collaborative workshops.

• Molecular Biology
• Genetics
• Cancer Research
• +۵ مورد دیگر

Daniel Bopp is a Senior Research Associate and Groupleader at the Department of Molecular Life Sciences, Faculty of Science, University of Zurich. His laboratory focuses on the molecular evolution of sex determination mechanisms in insects, particularly using the common housefly (Musca domestica) as a model system. The rich diversity of sex determination systems within Musca populations provides a unique opportunity to investigate evolutionary changes in this fundamental developmental process. Dr. Bopp's research interests center on evolutionary biology, molecular genetics, and developmental biology, with particular emphasis on sex determination pathways in insects. His work explores how the differences in sex determination mechanisms came into existence and what evolutionary forces drive rapid turnovers of these mechanisms. The Bopp Lab investigates the molecular basis underlying evolutionary diversification of sex determining pathways, studying how minor changes in otherwise well-conserved pathways can lead to significant evolutionary innovations. Analysis of Dr. Bopp's recent publications reveals a consistent focus on the molecular characterization of sex determination genes in Musca domestica and comparative studies across insect species. His research combines molecular genetics, bioinformatics, and evolutionary analysis to understand the conservation and diversification of sex determination pathways. Key techniques employed in his work include RNA-DNA analysis, microinjections into embryos, CRISPR/CAS9, RNAi, and various '-OMICS' approaches. Dr. Bopp has maintained an active research group at the University of Zurich since the 1990s, progressing from Research Associate to his current position as Senior Research Associate and Groupleader. His laboratory provides training opportunities for master's students interested in genetics and developmental biology, offering hands-on experience with advanced molecular techniques. His educational background includes a PhD (1984-1987) and M.Sc. (1979-1983) in Molecular and Cell Biology from the University of Basel, Switzerland, followed by a visiting research fellowship at Princeton University (1988-1993) in Genetics and Developmental Biology.

• Evolutionary Biology
• Molecular Genetics
• Developmental Biology
• +۴ مورد دیگر

Vincent Jung is a PhD Student at EPFL (LTS4) and IDIAP, with a visiting researcher role at the University of Italian Switzerland (USI). He is affiliated with the Faculty of Communication, Culture and Society and the Institute of Argumentation, Linguistics and Semiotics (IALS). His research focuses on RNA Language Models (RNA-LMs), bridging methodologies from natural language processing and computational biology to address challenges in RNA sequence analysis, structure prediction, and interaction modeling. Supervised by Prof. Lonneke van der Plas, Prof. Pascal Frossard, and Prof. Raphaëlle Luisier Vincent's work emphasizes adapting and developing AI/ML techniques for biological applications, particularly in understanding RNA functionalities. He is based at USI's Lugano campus.

• Computational Biology
• Natural Language Processing
• Bioinformatics
• +۳ مورد دیگر

Dr. Elisa Dultz is a Lecturer at the Department of Biology, ETH Zürich , affiliated with the Institute for Biochemistry. Her research focuses on nuclear pore complex (NPC) biogenesis, chromatin dynamics, and intracellular transport mechanisms. Institution: ETH Zürich Department: Biology Contact: HPM E 14.2, Otto-Stern-Weg 3, 8093 Zürich, Switzerland Email: elisa.dultz@bc.biol.ethz.ch Research Interests Dr. Dultz investigates the structural and functional dynamics of nuclear pores, particularly their assembly and regulation in yeast and mammalian cells. Her work integrates advanced microscopy techniques like 3D localization and single-particle tracking to study chromatin organization and macromolecular diffusion. Publication Trends Her publications span from 2005 to 2025, with recent work emphasizing NPC modularity, membrane fusion mechanisms, and quantitative imaging approaches. She has developed methodologies for analyzing directed motion in cellular contexts and explored nutrient-stress responses affecting transport. Laboratory & Collaborations At ETH Zürich, she contributes to the Institute for Biochemistry’s research on nuclear structure and dynamics, utilizing interdisciplinary techniques bridging molecular biology and computational analysis.

• Nuclear Pore Complex Biology
• Chromatin Dynamics
• Membrane Biogenesis
• +۴ مورد دیگر

Torsten Schwede is a Professor for Structural Bioinformatics at the Biozentrum, University of Basel since 2018, and currently serves as President of the SNSF Research Council since 2025. Previously, he was Vice President for Research at the University of Basel (2018-2024), Director of the SPHN Data Coordination Center (2016-2019), and Scientific Director of sciCORE Center for Scientific Computing (2014-2019). He has been a Group Leader at the SIB Swiss Institute of Bioinformatics since 2002 and served as Associate Professor (2007-2018) and Assistant Professor (2001-2007) at the Biozentrum. Dr. Schwede earned his PhD in protein crystallography from Albert Ludwigs University, Freiburg, Germany (1995-1998), following diploma studies in biochemistry at Albert Ludwigs University (1991-1994) and University of Bayreuth (1988-1991). His early career included positions as a staff scientist at GSK GlaxoSmithKline R&D (2000-2001) and postdoctoral researcher at GWER GlaxoWellcome Experimental Research (1999-2000). His research focuses on computational methods for modeling and simulating three-dimensional protein structures, particularly through homology modeling. His work enables investigation of protein functions at the atomic level, with applications in understanding disease-causing mutations and structure-based drug development. Dr. Schwede is best known for developing SWISS-MODEL, an automated protein homology-modeling server that has become a standard tool in structural bioinformatics. His recent work centers on benchmarking protein structure prediction methods through CAMEO and developing high-throughput pipelines like AlphaPulldown2 for structural modeling. Dr. Schwede's research has been widely recognized, including being selected by ISI Thomson Reuters as having the highest cited Swiss paper during 1999-2009 for his work on SWISS-MODEL. In 2014, his Nucleic Acids Research manuscript on SWISS-MODEL achieved rank 6 in traditional impact measure according to a study by the Swiss National Science Foundation. His work on protein-ligand interactions and computational drug discovery has also received significant attention in the scientific community. President of the SNSF Research Council (2025-present) President of the SNSF Research Council (2025-present) Member of RCSB PDB scientific advisory board (2015-present) Member of CASP organizing committee (2011-present) Chair of ELIXIR board (2015-2016) Conference Chair for ISMB 2019 in Basel At the Biozentrum, Dr. Schwede leads a research group dedicated to advancing computational methods for protein structure prediction and analysis, with a particular focus on making these tools accessible to the broader scientific community through web-based platforms and standardized data formats. His team's work on ModelArchive and CAMEO has established critical infrastructure for the structural biology community.

• Structural Bioinformatics
• Protein Structure Prediction
• Computational Biology
• +۵ مورد دیگر

Prof. Dr. Mihaela Zavolan is a Professor in Computational Biology/Genomics at the Biozentrum, University of Basel since 2014, where she leads her research group investigating gene expression regulation. She is also a group leader at the SIB Swiss Institute of Bioinformatics since 2003, combining computational approaches with biological insights to understand RNA processing and protein synthesis mechanisms. Dr. Zavolan earned her MD from the University of Medicine and Pharmacy of Timisoara, Romania (1992), followed by an M.Sc. (1996) and PhD (1999) in Computer Science from the University of New Mexico. Her interdisciplinary background bridges medicine, computer science, and molecular biology, enabling her unique approach to systems biology problems. Her research focuses on understanding how gene expression is regulated during stem cell differentiation, aging, and cancer development. Using a systems biology approach, her lab develops and applies computational methods to measure RNA, protein, and variant amounts across different cell types. They investigate mRNA variants and protein synthesis adaptation under various conditions, with particular interest in identifying cell-type specific biomarkers for age-related diseases and cancer. Analysis of her recent publications reveals a consistent focus on RNA processing mechanisms, particularly polyadenylation, translation dynamics, and the development of computational tools for RNA-seq analysis. Her work spans from fundamental molecular mechanisms to cancer applications, with increasing emphasis on single-cell technologies and multi-omics integration in recent years. Fellow of the International Society for Computational Biology (2024) Elected member of the European Molecular Biology Organization (EMBO) (2015) Appointed member of the Academia Europaea (2014) Scientific Advisory Committee, European Molecular Biology Laboratory (EMBL) (since 2018) As an editorial board member for journals including PLOS Genetics, Cells, Bioinformatics, RNA, and Genome Biology, Dr. Zavolan actively contributes to the scientific community. Her lab at the Biozentrum develops computational methods to measure RNA and protein variants across tissues and cell types, using computer models to identify regulatory signals and factors. The Zavolan Lab maintains strong collaborations with the Swiss Institute of Bioinformatics and participates in major research networks including the NCCR RNA & Disease.

• Gene Expression Regulation
• RNA Processing
• Protein Synthesis
• +۶ مورد دیگر

Prof. Dr. Kurt Stockinger is a Professor of Computer Science at ZHAW School of Engineering and holds a doctorate at the University of Zurich . He serves as Head of the MAS Data Science program and co-leads the ZHAW Datalab . His research focuses on Intelligent Information Systems , bridging information systems, natural language processing, and machine learning. Affiliated with the University of Zurich, he contributes to Quantum Machine Learning and Open Data Exploration initiatives. Stockinger's educational background includes a PhD in Computer Science (University of Vienna & CERN), a Master in Business Informatics (University of Vienna), and a CAS in Didactics & Methodology (ZHAW). He has taught courses in Quantum Computing , Big Data for Natural Sciences , and Data Science programs at ZHAW and University of Zurich. His research spans Data Science , Big Data , Natural Language Query Processing , Knowledge Graphs , and Quantum Machine Learning . Recent publications focus on quantum autoencoders , hybrid quantum neural networks , and prompt engineering for knowledge graph question answering. He has developed frameworks like ScienceBenchmark for real-world NL-to-SQL evaluation and NQuest for natural language query exploration. Scientific awards include the Best Paper Award at 7th Swiss Conference on Data Science (2020) He leads major projects such as DataGEMS (Data Discovery Platform, Horizon Europe) Digital Health Zurich (Clinical Innovation Lab) INODE4StatBot.swiss (NL-to-SQL Translation) GraphQueryML (Graph Database Optimization) ScienceBenchmark (NL-to-SQL Evaluation) Stockinger's work intersects with computer vision , biomedical data , and industrial applications , demonstrated through collaborations with institutions like Lawrence Berkeley National Laboratory, CERN, and University of Washington. He has contributed to establishing QuantumBasel and ZHAW Datalab as research hubs.

• Data Science
• Big Data
• Natural Language Query Processing
• +۴ مورد دیگر

Emmanuel Levy is a Full Professor at the Department of Molecular and Cellular Biology, University of Geneva. His research focuses on the self-organization of proteins, integrating computational and experimental approaches such as structural biology, proteomics, and synthetic biology. Using budding yeast as a model organism, his lab investigates principles of protein assembly, phase separation, and evolutionary constraints. Full Professor University of Geneva Department of Molecular and Cellular Biology Research interests include: Protein Structure and Assembly Synthetic Biology applications Proteomics and Evolutionary Biology Biomolecular Condensates Structural and Computational Biology Recent publications highlight work on: Protein complex alignment Co-translational assembly Evolution of oligomeric states Coiled coil analysis Stickiness and condensate recruitment Phase separation dynamics Laboratory name: Explorers and Architects of Cells' Proteome

• Protein Structure
• Synthetic Biology
• Proteomics
• +۳ مورد دیگر

Ramesh Pillai is a Full Professor in the Department of Molecular and Cellular Biology at the University of Geneva, Switzerland. His research focuses on RNA modifications and non-coding RNAs in gene expression regulation, utilizing animal and cell culture models alongside protein biochemistry, structural biology, and bioinformatics. Research Interests RNA Modifications Non-Coding RNAs piRNA Biogenesis Nuclear Silencing Machineries Structural Biology Bioinformatics Students and Collaborators Current PhD Students: Nancy Allahib, Julie RIGHI, Wanying Zhang, Xin Hu, Gonçalo ROSA FERNANDES Past PhD Students: Michaela DOHNALKOVA, Kyrylo KRASNYKOV, Lingyun LI, Mateusz MENDEL, Sara MOREIRA DA SILVA, Joanna WENDA Lab Members: Fabienne Burger Guevara, Pascal Gos, David Homolka, Elena Delfino, Nicole Raad, Graeme Wells, Carmen Fernandez Rodriguez, Harsha Raheja The lab is currently recruiting for two research projects on RNA modifications in gene expression and structural biology of piRNA biogenesis.

• RNA Modifications
• Non-Coding RNAs
• Gene Expression Regulation
• +۵ مورد دیگر