جست‌وجوی استاد و پژوهشگر

Reto Nyffelerمشاهده پروفایل

دانشیار

• Plant systematics
• Biogeography
• Phylogenetics
• +۷ مورد دیگر

Reto Nyffeler , PD Dr., has been Lecturer and Curator of Phanerogams at the University of Zurich since 2002. He leads the Institute of Systematic Botany’s herbarium activities and heads the Nyffeler research group, collaborating closely with the Sukkulenten-Sammlung Zürich. Education & Career Diploma in Systematic Botany, University of Zurich (1988-1991) Ph.D., Institute of Systematic Botany, University of Zurich (1994-1997) Post-doctoral researcher & Mercer Fellow, Arnold Arboretum, Harvard University (1997-2000) Post-doctoral researcher, Stanford University (2000-2001) Lecturer and Herbarium Curator, University of Zurich (2002-present) Research Focus Nyffeler’s work integrates plant systematics, biogeography, and phylogenetic methodology. Empirically, he concentrates on the diversification of succulent plants—especially Cactaceae—using molecular phylogenetics to untangle taxonomy, growth-form evolution, and biogeographic history. Parallel interests include the floristics of alpine regions and the systematics of Campanulaceae, Asteraceae, and Ranunculaceae. Across dozens of peer-reviewed papers (2010-2025) he has advanced family-wide phylogenies for Cactaceae and Caryophyllales, documented repeated succulent radiations, and created online taxonomic backbones such as Caryophyllales.org . His current projects combine next-generation sequencing with classical morphology to revise genera like Parodia and to understand adaptation in high-altitude Callianthemum . Students & Mentoring PhD advisee: Anita Lendel (systematics of Trichocereeae) Master advisees: 16 students (2006-2018) working on alpine ecology, cactus morphology, and floristic change Research Group & Collaborations The Nyffeler group comprises a scientific assistant (Dr. Heike Hofmann), technical and IT staff, and rotating Master students. The team maintains close collaborations with the Sukkulenten-Sammlung Zürich, Harvard’s Arnold Arboretum (Mercer Fellowship network), and multiple international cactus specialists.

• Bioinformatics
• Structural Biology
• Computational Biology
• +۳ مورد دیگر

Martin Steinegger is a researcher affiliated with Johns Hopkins School of Medicine and previously held roles at institutions such as the Max Planck Institute for Biophysical Chemistry and Technical University of Munich. His research focuses on bioinformatics, protein structure prediction, and computational methods for analyzing large genomic datasets. He has contributed to tools like MMseqs2, ColabFold, and Foldseek, advancing fields like metagenomics and structural biology. His work emphasizes scalable algorithms and open-source software development. Education includes a Master of Computer Science from Ludwig-Maximilians-Universität München (2013-2014) and a Ph.D. from Technical University of Munich (2014-2018). He has also held visiting scholar positions at Seoul National University, Centre for Genomic Regulation, and University of California, San Francisco. Key research interests revolve around protein structure prediction, metagenomic analysis, and developing machine learning frameworks for biological data. His publications highlight innovations in protein language models, structural phylogenetics, and database management systems. Notable contributions include the AlphaFold Protein Structure Database, MMseqs2 sequence search tool, and ColabFold for accessible protein folding predictions. His work bridges computational methods with biological discovery, addressing challenges in structural biology and genomic data interpretation.

• Comparative Genomics
• Database Curation
• Evo-Devo
• +۴ مورد دیگر

Marc Robinson-Rechavi is a Professor at the University of Lausanne, Faculty of Biology and Medicine, Department of Ecology and Evolution. He leads the Evolutionary Bioinformatics Group , focusing on genome evolution and developmental biology (Evo-Devo) through the creation of databases like Bgee and MoultDB . Core projects: Bgee (gene expression database), MoultDB (arthropod molting genetics), SelectomeDB (positive selection) Collaborations: Paleontology, genome biology, and experimental Evo-Devo groups Research interests include linking developmental processes to genome evolution , with emphasis on gene duplication, regulatory sequence evolution, and molecular convergence. His work has significant applications in cancer research , agriculture , and biomedical studies . The group's publications (2020-2025) demonstrate expertise in single-cell transcriptomics , ontologies , and computational methods . Projects often involve ray-finned fishes , amphioxus , and arthropod diversity , with tools like OMAmer and Bio-SODA expanding bioinformatics capabilities. Current students and former group members have contributed to diverse projects including: Arthropod molting mechanisms Venom gland evolution Sex-biased gene expression Positive selection in human evolution

Michael Baudisمشاهده پروفایل

استاد

• Bioinformatics
• Tumorgenomics
• Genomics
• +۴ مورد دیگر

Michael Baudis is a Professor of Bioinformatics and Tumorgenomics at the Institute of Molecular Biology , Faculty of Science, University of Zurich. He leads the development of the Progenetix database, a global reference for cancer genomic copy number alterations, and contributes to international standards through his membership in the Global Alliance for Genomics and Health (GA4GH) . Research focuses on genomic data representation , cancer subtype classification , and data sharing protocols Key projects include Beacon networks , Phenopackets , and GA4GH standards Email: michael.baudis@uzh.ch His recent work explores short tandem repeat variations , attention-based deep learning for CNAs , and heterogeneity in cancer classifications . Methodological contributions include segment_liftover , CNARA , and pgxRpi for genomic data calibration and analysis.

Tomoë I. M. Steineckمشاهده پروفایل

مدرس

• East Asian Art History
• Visual Culture Studies
• Japanese History
• +۸ مورد دیگر

Tomoë I. M. Steineck serves as a Lecturer in East Asian Art History and Visual Culture at the University of Zurich, holding dual appointments in the Department of Art History and the Institute of Asian and Oriental Studies (AOI). She also functions as a Partnership Strategist responsible for advancing knowledge exchange between the University of Zurich and the Rietberg Museum of Zurich. Her academic journey includes a PhD in Japanese Studies from the University of Tübingen (2024), an MA with distinction from SOAS University of London (1999), and a BA from the University of Heidelberg (1995). Dr. Steineck's research specializes in decolonial perspectives on cultural imperialism, particularly examining the intersections of German-speaking Europe and Japan through missionary exchanges and religiously-based cultural criticism. Her work foregrounds the role of visual culture in shaping global cultural asymmetries while exploring subaltern resistance through visual vocality. Key projects include the Digital Humanities initiative Database Japanese Buddhist Art in European Collections (JBAE), a critical commentary on Inoue Tetsujirō's correspondence, and extensive provenance research on Japanese religious objects in European museums. Her scholarly output reveals consistent focus on Edo-period sacred art, Buddhist material culture in European collections, and Protestant-Japanese religious encounters. The publications demonstrate methodological diversity spanning art historical analysis, material culture studies, digital humanities, and critical decolonial theory, with increasing attention to visual representation in cross-cultural contexts since 2015. Promotionspreis der Universität Tübingen 2025 (Faculty Award for outstanding doctoral project) Independent Researcher Scholarship Award for Japanese Art History by the Culture Communication Fund, Amsterdam (2001) As a curator and academic, Dr. Steineck has secured institutional partnerships and research grants supporting her Digital Humanities projects and cross-institutional collaborations. Her work with the Ethnographic Museum of the University of Zurich, the Rietberg Museum, and Japanese institutions demonstrates her capacity to bridge academic research with museum practice. She leads the international cooperative project A Critical Commentary on Inoue Tetsujirō's Collected Correspondence and its Dissemination throughout East Asia in collaboration with NICHIBUNKEN. Dr. Steineck directs the Digital Humanities project Database Japanese Buddhist Art in European Collections (JBAE), developed in cooperation with Hosei University Tokyo and multiple European museums. This initiative represents a significant team effort involving researchers across Switzerland, Germany, and Japan focused on documenting and analyzing Japanese Buddhist objects in European collections through digital methodologies.

• Geometric Deep Learning
• Topological Deep Learning
• Topological Data Analysis
• +۷ مورد دیگر

Bastian Alexander Grossenbacher is a Full Professor of Machine Learning at the University of Fribourg, where he leads the AIDOS Lab within the Department of Informatics, Faculty of Science and Medicine. He holds secondary appointments at the Institute of AI for Health and the Helmholtz Pioneer Campus of Helmholtz Munich. He is also a TUM Junior Fellow and a member of ELLIS and AI-LIFE. He co-directs the Applied Algebraic Topology Research Network (AATRN) and is involved in the Topology, Algebra, and Geometry in Data Science (TAG DS) initiative. His research lies at the intersection of geometry, topology, and machine learning, with a focus on Geometric Deep Learning, Topological Deep Learning, and Topological Data Analysis. He develops novel machine learning methods that use topological and geometric priors to improve model robustness and interpretability, particularly in biomedical applications. His work spans theoretical foundations and practical implementations in areas such as single-cell analysis, medical imaging, and network science. The 15 most recent publications (2023–2025) reveal a strong trend toward integrating algebraic and differential topology into deep learning architectures. Key themes include the use of Euler Characteristic and magnitude transforms, curvature-based analysis of graphs and data, simplicial and manifold-based neural representations, and the application of topological methods to biomedical data. His articles appear in top-tier venues such as Nature Communications, ICML, NeurIPS, ICLR, and IEEE conferences, reflecting both theoretical depth and high-impact applications. ERC Starting Grant Bastian Rieck is actively involved in mentoring and academic leadership. He supervises PhD students and postdoctoral researchers in the AIDOS Lab and is open to new collaborations, particularly with candidates from interdisciplinary backgrounds. He has secured significant research funding, including the ERC Starting Grant, and leads multiple collaborative research initiatives. He emphasizes open science, sharing code, data, and educational materials publicly. He leads the AIDOS Lab, which focuses on advancing machine learning through topological and geometric principles. He is also a co-director of the Applied Algebraic Topology Research Network (AATRN), which hosts a large online seminar series. Additionally, he maintains DONUT, a curated database of non-theoretical applications of topology, and is active in the ELLIS and AI-LIFE networks, fostering international collaboration in AI and health.

• Multiscale/multiphysics modeling
• Biophysics
• Cellular and molecular biomechanics
• +۶ مورد دیگر

Igor V. Pivkin is a full professor at the Institute of Computing within the Faculty of Informatics at the University of Lugano (USI). He holds a B.Sc. and M.Sc. in Mathematics from Novosibirsk State University, followed by an M.Sc. in Computer Science and a Ph.D. in Applied Mathematics from Brown University. Before joining USI, he was a Postdoctoral Associate at MIT's Department of Materials Science and Engineering. His research focuses on multiscale/multiphysics modeling , numerical methods, and large-scale simulations of biological and physical systems. Key areas include biophysics, cellular/molecular biomechanics, stochastic modeling, and coarse-grained molecular simulations. He leverages high-performance computing and particle-based methods to address complex biological phenomena. His work spans diverse applications, including cancer cell dynamics, bioleaching bacterial biofilms, and erythrocyte mechanics in human spleen circulation. He has pioneered computational tools such as the Bayesian recursive global optimizer (BaRGO) and the in-silico lab-on-a-chip framework, enabling petascale simulations of microfluidic systems at cellular resolution. Pivkin collaborates extensively with institutions like the SIB Swiss Institute of Bioinformatics and has contributed to advancing methodologies for multi-model scientific simulations. His research integrates experimental data with computational models to bridge gaps between microscopic and macroscopic biological processes.

Ueli Zahndمشاهده پروفایل

استاد

• Late Medieval Intellectual History
• Reformation Studies
• Scholasticism
• +۴ مورد دیگر

Ueli Zahnd is a Full Professor and Director at the Institute for the History of the Reformation (University of Geneva). His research spans Late Medieval Intellectual History , Reformation Theology , and Digital Humanities projects. Key areas include scholastic traditions of Peter Lombard's Sentences , 16th-century Pauline exegesis, and medieval-reformed theological continuities. Current projects: A Digital Repertory of Peter Lombard's Sentences , Pauline Exegesis in the 16th Century (SNSF-funded), and Reformation Readings of Paul database Academic leadership roles: Steering committee member of International Federation of Institutes for Medieval Studies , Curatorium for Swiss manuscript cataloguing, and Scientific Council of the International Museum of the Reformation His recent publications focus on: Medieval scholastic commentaries' influence on reformed thought Calvin's theological development through digital humanities Reformation-era hermeneutics and philosophical debates Networks of reformed exegesis across Europe Editorial roles include: Texts and Studies of the Middle Ages (Brepols) Zwingliana (Zurich) Revue suisse d’histoire religieuse et culturelle

Manuel Gilمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Evolutionary Genomics
• Computational Biology
• +۳ مورد دیگر

Manuel Gil is a Researcher at the Zurich University of Applied Sciences (ZHAW), affiliated with the School of Life Sciences and Facility Management and the Institute of Computational Life Sciences. His work focuses on computational methods in bioinformatics, including ancestral sequence reconstruction, multiple sequence alignment, and semantic integration of biological databases. He leads projects such as computational literature-based drug discovery for natural products and the development of tools like ProPIP and ARPIP. His research interests span evolutionary genomics, bioinformatics software development, and semantic querying of biomedical data. Notable contributions include advancing indel-aware phylogenetic analysis and enabling semantic access to federated bioinformatics databases through projects like Bio-SODA. Publications emphasize methodological advancements in sequence alignment, ancestral reconstruction, and knowledge graph applications in biomedicine. Collaborations include work with institutions like the SIB Swiss Institute of Bioinformatics and involvement in international conferences on text and data mining.

• Bioinformatics
• Text Mining
• Machine Learning Applications in Biomedical Research
• +۴ مورد دیگر

Patrick Ruch is a Professor at the Geneva School of Economics and Management (HES-SO), specializing in bioinformatics, text mining, and computational methods for health sciences. He leads research in areas such as machine learning applications in biomedical research, research data management, and natural language processing for scientific literature triage. His work emphasizes improving reproducibility, equity in publishing, and the integration of AI in healthcare. Key affiliations include the SIB Swiss Institute of Bioinformatics and the ArODES initiative. Research interests focus on leveraging AI to enhance data-driven decision-making in medicine, addressing systemic biases in academic publishing, and developing tools for genomic variant curation. He has collaborated extensively on international projects like BiCIKL and DOME, advancing FAIR data principles and open science practices.

Matthias Leeseمشاهده پروفایل

استادیار

• Technology and Governance
• International Relations
• Criminology
• +۴ مورد دیگر

Matthias Leese is an Assistant Professor for Technology and Governance at ETH Zurich's Department of Humanities, Social and Political Sciences. His research bridges International Relations, Criminology, and Science and Technology Studies, focusing on how technological tools reshape security practices and governance. He leads the CURATE Project (ERC/SERI Grant) examining data quality in European law enforcement and border control, and serves on the DATAMIG EU COST Action Management Committee for migration technology research. His research emphasizes qualitative empirical methods to study socio-technical relations in security contexts, including predictive policing, aviation security, and EU databases. Recent work explores data temporalities, algorithmic accountability, and the socio-political impacts of security technologies. Leese's articles analyze topics like algorithmic accountability in criminal justice, data quality frameworks in migration governance, and the evolution of EU security systems. He co-edits the Journal of International Relations and Development and contributes to policy discussions on digital sovereignty and ethical technology implementation. Grants: CURATE (ERC/SERI Starting Grant), DATAMIG (EU COST Action) Teaching: Focuses on technology governance, security studies, and research methods. Labs/Teams: Leads the Technology and Governance research group at ETH Zurich.

Tilia Ellendorffمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Biomedical Informatics
• Text Mining
• +۳ مورد دیگر

Tilia Ellendorff is a researcher at the University of Zurich , affiliated with the Department of Computational Linguistics under the Faculty of Arts and Social Sciences . She contributes to the Text Crunching Center (TCC) by developing solutions for text analytics, information extraction, and natural language processing . Her work bridges computational methods with biomedical and health-related domains, as evidenced by her involvement in the Digital Society Initiative (DSI) Community Health. Fields of Interest: Natural Language Processing, Biomedical Informatics, Text Mining, Information Extraction, Computational Linguistics, Machine Learning Her research focuses on creating annotated corpora, optimizing language models for clinical and biomedical texts, and advancing text mining tools for tasks like entity recognition and causal network extraction. She has contributed to collaborative initiatives such as BioCreative V and SMM4H, emphasizing hybrid approaches and multi-task learning. Contact: ellendorff@cl.uzh.ch

Johannes Graënمشاهده پروفایل

پژوهشگر

• Corpus Linguistics
• Computer-Assisted Language Learning (CALL)
• Games with a Purpose (GWAP)
• +۲ مورد دیگر

Dr. Johannes Graën is a Researcher at the University of Zurich , affiliated with the Department of Computational Linguistics under the Faculty of Arts and Social Sciences . He leads the Language Technology group within the Linguistic Research Infrastructure, focusing on corpus linguistics, computer-assisted language learning (CALL), and games with a purpose (GWAP). Primary Affiliation: University of Zurich Role: Researcher and Educator His research emphasizes corpus linguistics , NLP tools for education , and language learning games . He develops web-based infrastructures like the LiRI Corpus Platform and SwissBERT, a multilingual language model tailored for Swiss languages. His work often intersects with machine translation , word alignment , and multilingual resource exploitation . The trends in his publications highlight multimodal corpus analysis , CALL applications , and parallel corpora modeling . He has contributed to tools like Multilingwis and SPARCLING, which enhance the accessibility and annotation of multilingual datasets.

• Bioinformatics
• Computational Biology
• Genomics
• +۴ مورد دیگر

Prof. Dr. Maria Anisimova is a Professor at the Institute of Computational Life Sciences within the ZHAW School of Life Sciences and Facility Management. Her research focuses on computational methods in evolutionary genomics, bioinformatics, and molecular evolution. Key areas include tandem repeat analysis, ancestral sequence reconstruction, and cancer genomics. She leads multiple projects on colorectal cancer mechanisms, computational drug discovery, and evolutionary biology. Her work integrates statistical models and algorithms to address challenges in genome analysis, including indel evolution, phylogenetics, and natural language-based database querying. Notable contributions include tools like ARPIP, ProPIP, and TRAL, advancing sequence alignment and tandem repeat detection. She also explores the role of protein intrinsic disorder and tandem repeats in cancer biology. Prof. Anisimova’s interdisciplinary approach spans bioinformatics, computational biology, and clinical applications, with publications in journals like *Nature*, *Genome Biology*, and *Molecular Biology and Evolution*. She has authored a textbook on evolutionary genomics and contributed to major conferences and workshops in the field.

Monica Andrea Garcia Otaloraمشاهده پروفایل

مدرس

• Taxonomy of rust fungi
• Lichen systematics
• Molecular phylogeny
• +۴ مورد دیگر

Dr. Monica Andrea Garcia Otalora is a Lecturer at the Department of Biology, ETH Zurich, Switzerland. She is affiliated with the Gruppe Biosystematik and coordinates the 'Deep Digitization of Fungi' program at the Zurich Fungarium (Z+ZT). Her research focuses on fungal taxonomy, particularly rust fungi on Solanaceae and lichen-forming Ascomycetes, with an emphasis on Collemataceae. Her work integrates molecular phylogeny, population genetics, and biodiversity informatics to digitize fungal collections and study symbiotic relationships. Education PhD in Biology (2008), Universidad Rey Juan Carlos, Madrid MSc in Botany (2004), Universidad Rey Juan Carlos, Madrid BSc in Microbiology (1999), Universidad de los Andes, Bogotá Research Highlights Leading digitization projects for plant-pathogenic fungi in Swiss herbaria Published catalogues of rust fungi on Solanaceae with 1,400+ images Explored species delimitation in lichen symbionts using multi-locus data Documented invasive South American rust fungi in Europe Labs/Teams She leads the fungal collection curation team at the United Herbaria Zurich (Z+ZT). Her work involves collaboration with institutions like the Swedish Museum of Natural History and the Swiss National Herbarium (B). She teaches the Field Course in Mycology (Spring Semester 2024) at ETH Zurich.