جست‌وجوی استاد و پژوهشگر

Viktor von Wylمشاهده پروفایل

استادیار

• Digital Health
• Epidemiology
• Public Health
• +۶ مورد دیگر

Professor Viktor von Wyl is an Assistant Professor with Tenure Track for Digital and Mobile Health at the University of Zurich's Faculty of Medicine. He is affiliated with the Institute for Implementation Science in Health Care and serves as a DSI professor within the Digital Society Initiative. Since October 2023, he has been a member of the Directorate of the Swiss School of Public Health. He leads the Swiss Multiple Sclerosis (MS) Registry at the Institute of Epidemiology, Biostatistics & Prevention, which combines citizen science with digital health methodologies to improve MS care. He holds a PhD in Epidemiology from ETH Zurich (2008) and a Master’s in Biology from the University of Basel (2002). His professional career includes roles as a data manager for an HIV cohort in Washington, D.C. (2002–2004), an HIV epidemiologist at University Hospital Zurich (2004–2010) and University College London (2010–2011 with SNF support), and a Senior Researcher at the CSS-Institute in Luzern (2011–2014), focusing on end-of-life care and risk adjustment. His research interests prioritize digital epidemiology methodology, including the integration of digital data and citizen science. He explores text analysis via crowdsourcing, public trust in health systems, and factors influencing health behaviors, such as adherence to preventive measures during pandemics. His work addresses challenges in chronic disease management (e.g., MS) and musculoskeletal health through practice-based research networks (PBRNs), leveraging frameworks for interdisciplinary collaboration and implementation science. Scientific Awards: SNF Fellowship (2010–2011) SNF-funded Research at CSS Institute (2011–2014) His grants include SNF support for postdoctoral and CSS research. He co-leads the MAP-U and MAP-Z studies on mental health in conflict and displacement contexts. His advisory work involves the development of frameworks for clinician-patient engagement in PBRNs and the optimization of digital health study designs. He directs the Swiss MS Registry and chairs the Swiss Chiropractic Practice-based Research Network (Swiss ChiCo), advancing musculoskeletal primary care research. Viktor’s labs include the Swiss MS Registry and collaborations within the Institute of Epidemiology, Biostatistics & Prevention. He co-founded the corona immunitas digital ecohort to study pandemic impacts and has pioneered the use of fitness trackers in neurorehabilitation studies through the BarKA-MS initiative.

Gilles Philippeمشاهده پروفایل

استاد

• Stylistics
• Pragmatics
• Textual Genetics
• +۳ مورد دیگر

Gilles Philippe is a full Professor of French Linguistics in the French Section of the Faculty of Letters at the University of Lausanne. He previously taught at multiple institutions including the Universities of Amiens, Grenoble, Paris III, Harvard, Columbia, and Helsinki. His research focuses on stylistics and pragmatics of literary texts, with an emphasis on 19th and 20th century French prose. Key works include *The Discourse in Itself* (1997), *Subject, verb, complement* (2002), and *French, the last of the languages* (2010). He is a contributor to the prestigious Gallimard's Bibliothèque de la Pléiade series. His academic journey began at the École Normale Supérieure. Research interests further include textual genetics and the evolution of literary styles. Recent scholarship explores narrative techniques, stylistic norms, and comparative linguistic analysis across historical periods. His publications span monographs, edited volumes, and peer-reviewed articles, reflecting a deep engagement with both theoretical linguistics and literary practice. His work frequently bridges historical linguistics and literary criticism, examining how stylistic choices reflect broader cultural shifts. Collaborations with international scholars and editorial contributions highlight his role as a leading figure in French literary studies.

Laurence Bachmannمشاهده پروفایل

دانشیار

• Gender Studies
• Feminist Sociology
• Personal Development Techniques
• +۶ مورد دیگر

Laurence Bachmann is an Associate Professor at the Geneva School of Social Work (HETS-GE), part of the Western Switzerland University of Applied Sciences (HES-SO). She works within the Social Work Department and the Social Research Center (CERES), with additional involvement in the VisionS - HES Health-Social Continuing Education Center. Her academic position focuses on gender studies, social work practices, and personal transformation processes. Professor Bachmann's research interests center on gender and social work, particularly the transformation of gendered dispositions, becoming a feminist, the appropriation of social sciences, and sociology of self-knowledge tools. Her work examines how individuals transform their gendered dispositions through engagement with feminist ideas and social science knowledge. She has conducted significant research on nonviolent communication, debt management in social work, and masculinity studies. Her publication trends reveal a consistent focus on gender transformation processes, social work practices, and personal development techniques. Recent work (2023-2025) increasingly examines embodied leadership, reflective practices in social work management, and the experiences of men transforming their relationship to dominant masculinity. Throughout her career, she has maintained a strong focus on how social science knowledge is appropriated to transform gendered dispositions and practices. Professor Bachmann led a major SNSF-funded research project (2020-2024) titled 'Personal development: a cross-cutting sociological analysis of popular techniques of the self and their scope' with a budget of 406,407 CHF. This project examined nonviolent communication across different contexts including French-speaking Switzerland and California, analyzing how individuals appropriate these techniques and transform their dispositions. The research took an intersectional approach considering gender, class, and other social positions. She has collaborated extensively with colleagues including Anne Perriard, Sophie Rodari, Anne Ronchi, and Francis Loser, often working in interdisciplinary teams that bridge sociology, social work practice, and organizational development. Her research frequently connects theoretical frameworks with practical applications in social work settings.

• German Linguistics
• German Literature
• Historical Linguistics
• +۳ مورد دیگر

Lysander Büchli serves as a Lecturer in the Department of German Linguistics and Literature at the University of Basel's Faculty of Humanities. Concurrently, he pursues doctoral studies within the Faculty of Humanities and Social Sciences at the same institution. His academic work operates within Basel's tripartite German Studies framework encompassing German Linguistics, German Medieval Studies, and Modern German Literature. The department examines linguistic communication in social contexts against cognitive structures while exploring literary works through historical and aesthetic lenses. Büchli's position connects to broader departmental research themes including language standardization debates (such as 'Fahrrad' versus 'Velo' usage), genitive case evolution, sociolinguistic perception patterns, language acquisition processes, and historical textual analysis from the 8th century to contemporary literature. As a doctoral candidate, he contributes to the department's mission of studying German-language culture across its entire historical and geographical spectrum, with particular relevance to the department's focus on literature from the 18th to 21st centuries and linguistic developments in social contexts.

Adrian Soldatiمشاهده پروفایل

پژوهشگر

• Primate Behaviour
• Animal Cognition
• Communication Systems in Primates
• +۳ مورد دیگر

Dr. Adrian Soldati is a Researcher affiliated with the University of St Andrews' School of Psychology and Neuroscience. His work focuses on primate behavior and cognition, particularly the evolution of communication systems in chimpanzees and bonobos. He investigates how these primates' communication informs our understanding of human language origins. Dr. Soldati holds a cotutelle PhD from the University of St Andrews and the University of Neuchâtel, Switzerland. His research combines field observations with cutting-edge methodologies like thermal imaging and AI-driven analysis to study vocal ontogeny, gestural dialects, and social behavior in wild populations. Key research foci include chimpanzee vocal communication, the role of audience in displays, and cross-species comparisons to uncover evolutionary pathways. His collaborative projects span multiple field sites, including Uganda's Budongo Forest, and involve partnerships with institutions worldwide. Recent work highlights rhythmicity in chimpanzee drumming, dialect variation in gestures, and the application of neural networks to analyze primate vocalizations. These studies contribute broadly to primatology, cognitive science, and evolutionary biology.

Alain Ausoniمشاهده پروفایل

پژوهشگر

• French as a Foreign Language
• Multilingualism in Literature
• Translingual Writing
• +۷ مورد دیگر

Alain Ausoni is a researcher (MER 1) at the School of French as a Foreign Language within the Faculty of Arts at the University of Lausanne (UNIL), a position he has held since August 2018. His academic journey includes a Master's in Comparative Literature from the University of Kent and a doctorate from the University of Oxford as a Berrow Scholar. He previously studied at UNIL and holds a teaching diploma from HEP-VD. His research focuses on multilingualism in literature and the teaching of spoken French in FLE contexts. He is particularly known for his work on translingual writing—autobiographical practices by non-native French authors—and for developing pedagogical tools for oral comprehension. His recent book Mémoires d'outre-langue (2018) explores this theme in depth. He co-created the digital platform FLORALE (florale.unil.ch) with Christian Surcouf, a corpus-based resource for teaching spoken French, supported by the Educational Innovation Fund. The trends in his scholarly publications reveal a sustained engagement with translingual autobiography, oral language variation in French, and innovative FLE pedagogy. His works analyze how learners comprehend spontaneous spoken French and how literary authors navigate identity across languages. He has also contributed to the historical understanding of oral corpus use in language teaching. Alain Ausoni was supported by an SNSF mobility grant during his postdoctoral fellowship at the École normale supérieure de Paris, completed in January 2019. He has not received any explicitly mentioned scientific awards in the provided texts. He has not listed any students or advising roles. He is involved in digital educational innovation through the FLORALE project, which represents a significant contribution to applied linguistics and language teaching methodology.

Shahin Tavakoliمشاهده پروفایل

مدرس ارشد

• Statistics
• Functional Data Analysis
• Neuro-imaging
• +۴ مورد دیگر

Shahin Tavakoli is a Senior Lecturer in the Research Institute for Statistics and Information Science at the Geneva School of Economics and Management (University of Geneva). He holds a PhD in Mathematical Statistics from EPFL and has held positions as a University Research Fellow at the University of Cambridge and a tenure-track Assistant Professor at the University of Warwick. His research focuses on functional data analysis with applications in neuroimaging, phonetics, biophysics, econometrics, and genomics. Education: BSc/MSc in Mathematics (EPFL), PhD in Mathematical Statistics (EPFL). Key roles include Associate Editor for the Journal of Statistical Planning and Inference and proposer for a JRSS B discussion paper. Teaching includes Applied Bayesian Statistics, Multivariate Analysis, and Mathematics courses at the University of Geneva. Research interests emphasize statistical methodologies for complex data structures, including high-dimensional functional time series and spatial modeling of linguistic data. Notable recent publications address phonetic analysis, brain imaging, and econometric factor models. Collaborations span institutions like the University of Cambridge, University of Warwick, and LMU Munich. Advising includes PhD students Marco Palma and Beatrice Matteo, with contributions to projects such as functional regression clustering and normative brain mapping. His work bridges theoretical statistics with applied domains, reflecting interdisciplinary impact across natural and social sciences.

Anne Göhringمشاهده پروفایل

پژوهشگر

• Computational Linguistics
• Natural Language Processing
• Machine Translation
• +۵ مورد دیگر

Anne Göhring is an Academic Associate at the University of Zurich, working within the Language, Technology and Accessibility research team at the Institute of Computational Linguistics. With over a decade of experience in computational linguistics and natural language processing, she has established herself as a specialist in machine translation, sign language processing, and German language analysis. Her work bridges theoretical linguistics with practical applications, particularly focusing on accessibility technologies and resource-poor languages. Her educational background includes: 2001-2010: Studies in Spanish Linguistics and Literature, Computational Linguistics 2006-2007: Erasmus study year at Universidad Complutense Madrid Dr. Göhring's research spans multiple domains of computational linguistics with a strong emphasis on practical applications. She has made significant contributions to machine translation systems, particularly for hybrid approaches and low-resource languages like Quechua. Her recent work has increasingly focused on sign language processing, developing corpora and translation systems to improve accessibility. She also conducts important research in semantic role labeling, sentiment analysis, and German language processing, with applications ranging from social media analysis to veterinary text mining. Analysis of her recent publications reveals a clear trajectory toward accessibility-focused NLP research, particularly in sign language technologies. While maintaining expertise in German language processing and machine translation, her 2023-2024 work shows a strong emphasis on sign language corpora development (SwissSLi) and pose-based identification systems. Earlier work focused more on semantic analysis, sentiment detection, and cross-lingual processing, demonstrating remarkable versatility across NLP subfields. Dr. Göhring has been actively involved in numerous research projects: 2011-2014: SNSF project SQUOIA on Hybrid Machine Translation 2015: CTI project SentiSpider on expectation-based sentiment analysis 2016-2018: What's up, Switzerland? corpus project 2018-2022: Sentiment inference research 2021-2024: NCCR Evolving Language Project: IMAGINE 2022-2026: Flagship IICT Throughout her career, Dr. Göhring has supervised numerous student projects and taught courses ranging from introductory computational linguistics to specialized seminars on machine translation and NLP for medicine. Her teaching portfolio demonstrates commitment to both foundational knowledge and cutting-edge applications in the field. She is an active member of the Language, Technology and Accessibility research group at the University of Zurich, collaborating extensively with researchers like Manfred Klenner, Sarah Ebling, and Martin Volk on diverse NLP challenges.

• Professional Communication
• Academic Writing
• Discourse Rhetoric
• +۳ مورد دیگر

Esther Galliker is a Lecturer at the Institute of Communication and Marketing (IKM) within the Lucerne School of Business at Hochschule Luzern (HSLU). She holds a Dr. phil. from the University of Wuppertal (2014) and a lic. phil. from the University of Zürich (2005). Her professional roles include being Managing Director of Galliker Baumgartner GmbH (2020–present), Project Manager for the Open Education Platform (2016–2019), and Researcher in the SNF-Dore Project (2006–2010). Her expertise spans professional communication, academic writing, discourse rhetoric, conversation analysis, and sociolinguistics. Her research focuses on youth language in German-speaking Switzerland, stylistic variation, and the intersection of technology and communication in agile teams. Notable projects include investigating hospitality communication through ethnographic studies and analyzing linguistic innovation in youth discourse. Recent publications include work on technology-supported communication in hybrid meetings and the role of dialect in Swiss German youth speech. Dr. Galliker has contributed to numerous conferences and authored/co-authored books such as Bricolage: Ein kommunikatives Genre im Sprachgebrauch Jugendlicher aus der Deutschschweiz (2014). She is active in academic organizations like the GAL (Gesellschaft für Angewandte Linguistik) since 2007 and serves on the board of the Dozierendenverband of HSLU since 2016.

• Natural Language Generation
• Computational Linguistics
• Referring Expression Generation
• +۵ مورد دیگر

Emiel Krahmer is a Professor in the Department of Communication and Cognition at Tilburg University's School of Humanities in the Netherlands. With over 368 publications and more than 7,000 citations, he is a leading researcher in Natural Language Generation (NLG) and Computational Linguistics. His work spans multiple subfields including Referring Expression Generation, Data-to-Text systems, human evaluation methodologies, and more recently, the application of Large Language Models in therapeutic contexts. Professor Krahmer's research interests focus on the computational aspects of language generation, with particular emphasis on how machines can produce human-like referring expressions, generate text from structured data, and evaluate the quality of automatically generated language. His work combines theoretical linguistics with practical applications, bridging the gap between computational models and human language production. He has made significant contributions to understanding the psychological aspects of language generation and how these can inform computational models. His recent publications demonstrate a clear evolution in his research trajectory, moving from foundational work in referring expression generation to exploring the capabilities of modern Large Language Models in specialized contexts like motivational interviewing. The analysis of his 15 most recent articles reveals a strong focus on reproducibility in human evaluation studies, the application of NLG techniques in healthcare contexts, and the development of robust evaluation frameworks for NLG systems. His work increasingly intersects with clinical psychology and therapeutic applications, showing how language generation technology can be adapted for sensitive communication contexts. Professor Krahmer has been instrumental in organizing key events in the NLG community, including serving as co-editor for the Proceedings of the First Workshop on Natural Language Generation in Healthcare (2021). His work on human evaluation best practices has helped establish standards in the field, while his research on reproducibility addresses critical methodological challenges in NLP research. His collaborations span multiple institutions and disciplines, reflecting the interdisciplinary nature of his work. He has mentored numerous researchers who have gone on to make their own contributions in computational linguistics, as evidenced by his extensive co-authorship network. While specific lab affiliations aren't detailed in the provided information, his work is clearly embedded within Tilburg University's research ecosystem focused on language technology and human communication.

• Machine Learning
• Probabilistic Modeling
• Neural Networks
• +۴ مورد دیگر

Carl Allen is a Laplace Junior Chair in Machine Learning at École Normale Supérieure, Paris, working in the research group of Stéphane Mallat, Giulio Biroli and Garbiele Peyré. Previously, he was a postdoctoral fellow at ETH Zurich and completed his PhD in Machine Learning in 2021 at the University of Edinburgh under the supervision of Professors Tim Hospedales and Iain Murray. His educational background includes a BSc in Mathematics & Chemistry from the University of Southampton, an MSc in Mathematics and the Foundations of Computer Science (MFoCS) from the University of Oxford, and MScs in Artificial Intelligence and Data Science from the University of Edinburgh. Before transitioning to AI/ML research, he spent several years in Project Finance. Allen's research focuses on mathematically understanding mechanisms behind successful machine learning methods, particularly neural networks. He investigates how machine learning models exploit aspects of data distribution from a probabilistic perspective. His current topics include explaining how VAEs disentangle independent factors of data, identifying mathematical models behind self-supervised learning, and deriving probabilistic interpretations of softmax classification. His PhD work investigated neural representations of discrete objects and their relationships, with a main result explaining how word embeddings can seemingly be added and subtracted (e.g., queen ≈ king - man + woman), which received Best Paper (honorable mention) at ICML 2019. His research spans theoretical foundations of machine learning, with particular emphasis on representation learning, disentanglement, and probabilistic modeling of neural networks. His work connects mathematical principles with practical machine learning applications, aiming to develop more interpretable and reliable algorithms. Allen has received notable recognition including a Best Paper honorable mention at ICML 2019 and a research grant from the Hasler Foundation. He has delivered invited talks at prestigious institutions including Harvard Center of Mathematical Sciences & Applications and Astra-Zeneca. His collaborative work spans multiple institutions, including a notable internship at Samsung AI Centre, Cambridge, where he worked at the intersection of representation learning and logical reasoning. His research has significant implications for developing more interpretable, reliable, and theoretically grounded machine learning systems.

Giuseppe Samoمشاهده پروفایل

دانشیار

• Quantitative Linguistics
• Computational Linguistics
• Syntactic Cartography
• +۱۲ مورد دیگر

Giuseppe Samo is an Associate Professor in Linguistics at Beijing Language and Culture University and a Research Associate at the University of Geneva's Centre Universitaire d’Informatique. He is affiliated with the University of Geneva's Faculty of Letters and the IDIAP research center. His work bridges quantitative computational syntax with syntactic cartography , focusing on V2 phenomena and toponym analysis. His research interests include syntactic structure modeling , machine learning applications in linguistics , and game-based research methodologies . He specializes in language variation , computational analysis of linguistic data , and digital humanities , particularly examining urbanonym semantics and multilingual corpora . Recent publications demonstrate trends in computational syntax (7/15), toponymic studies (4/15), and language technology (4/15). Key methodologies involve quantitative analysis of syntactic locality, cross-linguistic comparisons , and synthetic dataset creation for testing large language models. He leads the research project 'Encoding syntactic structures as vectorial representations for deep learning' (funded by Beijing Language and Culture University, #20YBB06). His collaborative work spans institutions in Switzerland, Italy, and China , with notable contributions to diachronic syntax and epigraphic data encoding .

• Linguistics
• Pragmatics
• Romance Languages
• +۵ مورد دیگر

Dr. Davide Garassino is affiliated with the ZHAW School of Applied Linguistics and the Institute of Multilingual Communication at Zurich University of Applied Sciences (ZHAW). His research focuses on pragmatics, information structure, and political communication in Romance languages, with a particular emphasis on presuppositions and cross-linguistic comparisons between French and Italian. He has contributed to studies on AI-generated texts, digital literacy in EFL education, and experimental approaches to political discourse analysis. Garassino holds editorial roles, co-editing the volume *When Data Challenges Theory: Unexpected and Paradoxical Evidence in Information Structure* (2022) with Daniel Jacob. His work integrates corpus linguistics, cognitive pragmatics, and sociolinguistics, addressing topics such as vowel length in Ligurian and prosodic variation. He collaborates extensively with researchers like Viviana Masia, Nicola Brocca, and Lorenzo Filipponio. Recent studies explore how presuppositions function in political communication, including analyses of tweets and the integration of AI tools like ChatGPT into linguistic research. He also investigates pedagogical strategies for teaching critical digital literacy in multilingual contexts.

Stefan Schneiderمشاهده پروفایل

پژوهشگر

• Energy Systems
• Environmental Science
• Statistical Methods
• +۱ مورد دیگر

Stefan Schneider is a researcher at the University of Geneva, affiliated with the Groupe Systèmes Energétiques and Institut Forel since 2014. He holds a PhD in Applied Mathematics (1994) focused on numerical methods for differential equations and previously worked in R&D at Deram SA (banking software) from 2000-2013. His current research spans energy systems modeling, including territorial heat demand analysis, electricity consumption decomposition, and evaluation of innovative energy solutions for urban environments. Academic Affiliation: University of Geneva (Institut Forel, Groupe Systèmes Energétiques) Industry Experience: R&D at Deram SA (banking software, 2000-2013) Education: PhD in Applied Mathematics (1994) Research interests focus on energy demand modeling, district heating systems, and techno-economic analysis of urban energy solutions. He contributes to projects with industrial partners like Service Industriels de Genève (SIG), including geothermal heat pumps, energy efficiency atlases, and temperature reduction strategies for district heating networks. His earlier work in population genetics (1995-2002) led to the Arlequin software package, widely adopted in genetic data analysis. Recent publications (2017-2025) emphasize building energy modeling, heat demand forecasting, and sustainable urban infrastructure. While no explicit awards or advisees are mentioned, his interdisciplinary career bridges mathematics, computational methods, and applied energy systems research.

• Data Science
• Machine Learning
• Spatial Analysis
• +۵ مورد دیگر

Curdin Derungs is a Lecturer in Data Science at the Lucerne School of Computer Science (HSLU), Switzerland. He specializes in applying statistical and machine learning techniques to energy systems, spatial analysis, and natural language processing. His professional competencies include data-driven automation, deep learning, time series analysis, and energy systems optimization. Derungs holds a PhD in Natural Sciences (University of Zurich, 2013) with a focus on NLP and spatial analysis, and a DAS in Applied Statistics (ETH Zurich, 2019). Earlier degrees include a Master's in Geography (2008) and Atmospheric Physics (ETH Zurich, 2008). His research explores intersections between data science and environmental sustainability, including energy efficiency optimization, spatial language dynamics, and landscape modeling. Recent work focuses on occupant behavior in energy systems, geotagged text analysis, and soil formation modeling. Key projects include SCCER FEEB&D Work Package 2 on renewable energy systems, the Romande Energy Demonstrator, and urban greening studies. He actively contributes to interdisciplinary initiatives like the IGE Innovationswettbewerb 2019 and Innovationspark Zentralschweiz.