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Elaine M. Huang is an Associate Professor of Human-Computer Interaction at the Department of Informatics, University of Zurich, where she has served since 2010. She also leads the People and Computing Lab, focusing on the dynamic interplay between human practices and technological advancements. Her academic background includes: PhD in Computer Science, Georgia Institute of Technology (2006) Dr. Huang's research centers on human-computer interaction, examining the bidirectional relationship between technology and human practices. She is particularly known for her work on gender equality in technology, challenging assumptions about innate gender differences and investigating how AI systems may perpetuate biases. Her research also spans sustainable interaction design, mental health technologies, and chronic disease management, always emphasizing empirical data over intuition. Analysis of her recent publications (2023-2025) reveals a strong trajectory toward socially impactful HCI, with significant focus on health technologies (diabetes management, mental health), cultural sensitivity in design, and the ethical challenges of AI. Her methodology often involves field studies to understand real-world technology use, countering the industry's reliance on intuition. As head of the People and Computing Lab, Dr. Huang oversees a research group dedicated to designing and evaluating technologies that address complex human needs. The lab's work frequently involves co-design with diverse user communities to ensure relevance and inclusivity in technological solutions.

• Human-Computer Interaction
• Gender Equality in Technology
• AI and Society
• +3 more

Thomas Demeester is an Associate Professor at the Internet Technology and Data Science Lab (IDLab), Ghent University - imec, Belgium. Appointed as Assistant Professor in 2019, he leads an AI research group focused on health applications and drug design, co-directing the Text-to-Knowledge research cluster with Prof. Chris Develder. His educational background includes: M.Sc. in Electrical Engineering from Ghent University (2005), completed with thesis work at ETH Zurich Ph.D. in Computational Electromagnetics from Ghent University (2009), funded by Research Foundation - Flanders (FWO) Demeester's research spans artificial intelligence with emphasis on deep learning and neuro-symbolic methods. Current tracks include energy-based models (Hopfield Networks, Deep Equilibrium Models), diffusion models for drug design, and clinical reasoning systems. His work bridges NLP, healthcare informatics, and generative AI with strong industry partnerships. Recent publications (2023-2025) reveal strategic expansion from NLP into health-centric AI: BioLORD biomedical encoders (2023), synthetic medical data frameworks (UAI/NeurIPS 2024), and novel diffusion model guidance (ICLR 2025). This evolution demonstrates convergence of generative modeling, clinical data analysis, and protein design. He actively mentors 24 PhD students across diverse AI domains: Current Research: Conversational agents, emotion analysis, clinical reasoning, antibody design, and diffusion model optimization Recent Graduates: Interpretable language models, biomedical semantics, task-oriented dialogue, and social media knowledge extraction Research is supported by imec funding and collaborations with Flemish biotech companies, building on his post-doctoral experience securing media-sector projects. Within IDLab, he co-leads the Text-to-Knowledge cluster driving NLP innovations for healthcare, legal, and economic applications.

• Artificial Intelligence
• Natural Language Processing
• Deep Learning
• +7 more

Professor Nikola Biller-Andorno is a leading academic in biomedical ethics and digital health innovation at the University of Zurich , where she directs the Institute of Biomedical Ethics and History of Medicine and serves as Vice Dean for Innovation and Digitalization at the Faculty of Medicine . Her work bridges cutting-edge technology with ethical frameworks for patient-centered healthcare. Director, Institute of Biomedical Ethics and History of Medicine (WHO Collaborating Centre) Vice Dean for Innovation and Digitalization, Medical Faculty Founding Director, UZH Center for Medical Humanities Chair, PhD program 'Biomedical Ethics and Law' Research Interests focus on digital transformation in healthcare, including ethical implications of AI, patient experience integration via big data, and crisis management frameworks during pandemics. Her scholarship addresses: Digitalization of health systems Algorithmic decision-making ethics Equity in digital health access Scientific Awards include: Commonwealth Fund Harkness Fellowship (2012-2014) Fellowship at Collegium Helveticum (2016-2020) Master of Health Business Administration (2018) Leadership roles in International Association of Bioethics and European Association of Centres of Medical Ethics

• Digitalization of healthcare
• Artificial Intelligence in medicine
• Patient experiences in healthcare
• +4 more

Céline Bourquin Sachse is an Associate Professor at the Faculty of Biology and Medicine (FBM) of the University of Lausanne (UNIL) and serves as Director of the Research Center at the Liaison Psychiatry Service of the Lausanne University Hospital (CHUV). Her work bridges psychiatry, psychology, and the human and social sciences, focusing on improving clinician competencies in somatic care settings through psychosocial support and communication training. Her research is centered on two main themes: clinical communication and the lived experiences of physicians, particularly in high-stress medical environments. She leads the interdepartmental project Hospita-liens , which investigates interactions between patients, families, and healthcare professionals within the hospital system. Her methodological approach is grounded in qualitative research, drawing from ethnography, narrative analysis, and social science frameworks. Céline Bourquin Sachse completed her Master of Arts in linguistics, ethnology, and history at the University of Neuchâtel in 2003. She earned her PhD in Life Sciences from the University of Lausanne’s Faculty of Biology and Medicine in 2012. Her doctoral and postdoctoral work focused on HIV/AIDS prevention messaging and clinical communication in oncology. From 2012 to 2022, she was Research Manager at the CHUV Liaison Psychiatry Service, where she initiated the PENbank—a narrative repository of patient and family experiences. She was a private lecturer at FBM-UNIL from 2019 to 2022 before her promotion to Associate Professor in 2022. Her research trajectory reflects a strong commitment to human-centered healthcare innovation. She has secured competitive funding, including the SNSF Spark grant for the PENbank project, which supports the collection and use of lived experience narratives in medical training and service improvement. SNSF Spark funding for the PENbank project She has supervised research projects and mentored early-career researchers, though specific advisees are not listed. Her work is conducted within the Research Group of the Liaison Psychiatry Service (FOLD), an interdisciplinary team focused on integrating psychosocial perspectives into clinical practice. Future research directions likely include expanding the use of narrative medicine and digital tools for clinician training and patient engagement.

• Psychiatric Liaison
• Clinical Communication
• Physician Lived Experience
• +7 more

Dr. Christina Haag is a postdoctoral researcher at the Institute for Implementation Science in Health Care , affiliated with the Faculty of Medicine at the University of Zurich . She leads interdisciplinary projects at the intersection of mental health, digital health, and computational linguistics, focusing on chronic illnesses like multiple sclerosis (MS). Her work leverages free text, sensor data, and advanced analysis techniques such as hierarchical modeling and natural language processing (NLP). Doctorate from the Institute of Psychology, University of Zurich Research experience at the MRC Cognition & Brain Sciences Unit, University of Cambridge Her research explores: Daily-life mental and physical health indicators in MS Development of NLP methods for text classification and topic modeling Digital biomarker creation using wearable sensor data Mindfulness interventions for affective executive control Implementation of remote monitoring tools in healthcare Her recent publications highlight trends in applying NLP and machine learning to unstructured health data, analyzing MS activity patterns, and refining interdisciplinary research methodologies. She contributes to DSI communities including AI & Law , Health , and Ethics , and collaborates on projects like BarKA-MS and DSI-Approach . She is a core member of the UZH Digital & Mobile Health Group , working under Prof. Viktor von Wyl.

• Mental Health
• Natural Language Processing
• Activity Sensing Data
• +3 more

Katarzyna Wac is a researcher at the University of Geneva affiliated with the Faculty of Economics and Management and the Information Science Institute . Her work bridges Digital Health , Mobile Computing , and Human-Computer Interaction , focusing on leveraging wearable devices, smartphones, and AI for health and quality of life (QoL) quantification. Research Themes: Digital biomarkers for Alzheimer's and migraines, QoL assessment via ubiquitous computing, peer- and self-reported behavioral data, and QoE of mobile applications. Labs: Leads the mQoL Lab , a platform for interactive, mobile, and wearable-based studies. Her recent publications explore Transformer models for health data analysis, social robots in homecare, and ethical frameworks for digital mental health. She has contributed to standards for proxy-reported QoL measures and personalized drug delivery systems in digital health. The multimodal integration of emotional signals and context-aware QoS/QoE provisioning for m-health services are recurring technical themes. Key collaborations include the MobiHealth project and COPD24 , translating future internet technologies into telemonitoring solutions. Her work spans from foundational studies on mobile cognition to applied ambulatory assessment of affect and health risks.

• Digital Health
• Mobile Computing
• Human-Computer Interaction
• +4 more

Flurin Condrau serves as a Full Professor at the University of Zurich within the History of Medicine department. His academic focus centers on 20th-century medical history with particular expertise in tuberculosis, public health campaigns, and pharmaceutical developments across German, English, and Swiss contexts. Condrau's research examines tuberculosis sanatoriums, antibiotic impacts on hospital governance, and psychopharmacological experimentation ethics. His work reveals how social structures shaped disease management through comparative analysis of institutional practices and patient experiences during critical medical transitions. Analysis of his 2009-2019 publications shows consistent investigation into infectious disease history, psychiatric medicine evolution, and therapeutic revolutions. Key trends include ethical scrutiny of drug trials, reinterpretation of medical institutions, and cross-national comparisons of public health responses to epidemics. No specific scientific awards or prizes are documented in the provided materials. While explicit details about student supervision remain undisclosed, Condrau's extensive editorial work and collaborative publications indicate significant academic mentorship. His research has likely attracted competitive grants supporting historical investigations into medical institutions and therapeutic practices. As a core member of Zurich's History of Medicine team, Condrau contributes to preserving medical heritage through museum studies and archival research, examining how historical medical practices inform contemporary healthcare challenges.

• History of Medicine
• Social History of Medicine
• History of Tuberculosis
• +3 more

Matthias Bannert is a Lecturer at the Department of Management, Technology, and Economics at ETH Zürich, where he works at the KOF Swiss Economic Institute (Konjunkturforschungsstelle). His work focuses on the intersection of economics, software development, and data management, with particular expertise in time series analysis and official statistics. Bannert designs solutions for state-of-the-art data processing, management, and publishing of economic data and research. Bannert completed his doctoral thesis titled "Survey Based Research in Economics - Essays on Methodology, Economic Applications and Long Term Processing of Economic Survey Data" at ETH Zürich in 2016. His academic journey began when he joined KOF in late 2008, initially working as a researcher for the Business Tendency Survey group before transitioning to the institute's IT department. Dr. Bannert's research interests span several interconnected domains at the nexus of economics and data science. He specializes in developing software environments for official statistics, with particular focus on processing and managing economic time series data through open-source driven data pipelines. His technical expertise includes R programming and PostgreSQL database systems, which he applies to create robust solutions for economic data analysis. Bannert is particularly interested in survey methodology, nowcasting techniques, and the development of reproducible research workflows. His work bridges the gap between theoretical economics and practical software implementation, ensuring that economic research can leverage state-of-the-art data processing techniques. Analysis of Bannert's publication record reveals a consistent focus on the application of data science techniques to economic research problems, particularly in the domain of official statistics and survey-based economics. His work demonstrates a progression from theoretical survey methodology to practical software implementation, with increasing emphasis on real-time economic forecasting and data management systems. A distinctive feature of his research is the development of open-source R packages that make advanced economic data analysis more accessible to researchers and practitioners. As an active contributor to the R language for Statistical computing and the open source community, Bannert has developed several notable software packages including timeseriesdb, tstools, and kofdata, which are available on CRAN. These tools reflect his commitment to creating reproducible, transparent, and efficient workflows for economic data analysis. Bannert serves as a data science supervisor for multiple KOF research projects and is a co-Principal Investigator in an SNF-funded Digital Lives project in collaboration with KOF's labor market expert group. His teaching activities include "Hacking for Sciences - An Applied Guide to Programming with Data" and involvement in the Nowcasting Lab, which provides live out-of-sample forecasting and model testing capabilities for economic researchers. Dr. Bannert is affiliated with the KOF Swiss Economic Institute, where he contributes to several research groups including the KOF Macroeconomic Forecasting group and the KOF Data Science and Macroeconomic Methods group. His work at KOF bridges the institute's traditional economic research with modern data science approaches, helping to position the institute at the forefront of data-driven economic analysis.

• Software Environments for Official Statistics
• Processing and Management of Economic Time Series Data
• Open Source Driven Data Pipelines
• +7 more

Prof. Dr. Veronika Waldboth is a Professor for Family-Centered Nursing at the ZHAW School of Health Sciences (Institute of Nursing). Her work focuses on Advanced Practice Nursing (APN) , Rare Diseases , Digital Technologies in Nursing , and Participative Mixed Methods Research . PhD in Nursing (2013-2017) from King's College London MSc and BSc in Nursing from Zurich University of Applied Sciences and University of Verona Her research explores family transitions in chronic conditions, with emphasis on neuromuscular diseases and low-birth-weight infants . She leads projects like the Swiss Nursing Research Agenda and Care-NMD-CH , focusing on interprofessional care models and digital health platforms. Recipient of the 2015 Nursing Science Foundation Switzerland Young Researchers Award Active in Rare Disease Action Forum and ORCID ID 0000-0003-2785-3241 Current projects include Care Management for Neuromuscular Diseases and Global Bridge in Health Professions Education . Her teaching includes Advanced Practice Competencies and Rare Diseases Nursing Education .

• Family Nursing
• Advanced Practice Nursing (APN)
• Rare Diseases Nursing
• +4 more

Gerhard Schwabe is a Professor in the Department of Informatics at the University of Zurich, Faculty of Business, Economics and Informatics. His research spans collaborative technologies, information management, E-government, blockchain applications, and digital health. He leads the Information Management Research Group and contributes to the university's Digital Society Initiative (DSI). Research Focus: Human-AI collaboration, blockchain systems, crisis informatics, persuasive technologies Key Projects: RefuGPT (refugee support chatbots), Scripted Medicine (health worker assistance), PROMISE (AI prompt orchestration) Technical Expertise: Design Science Research, conversational agents, data-driven governance His recent publications emphasize AI integration in collaborative workflows, blockchain applications for data markets, and digital solutions for crisis management. He explores how generative AI impacts freelance development practices and transforms advisory services through automated systems. Contact: schwabe@ifi.uzh.ch

• Collaborative Technologies
• Information Management
• E-Government
• +5 more

Ehud Reiter is a Professor of Natural Language Generation at the University of Aberdeen's School of Natural and Computing Sciences, Department of Computing Science. With over three decades of research experience, he is recognized as one of the world's leading experts in Natural Language Generation (NLG), particularly in data-to-text systems, evaluation methodologies, and healthcare applications. Reiter's research primarily focuses on creating systems that generate accurate, useful, and understandable natural language from structured data. His work spans multiple domains including healthcare (medical note generation, patient-facing systems), sports reporting, and explainable AI. A significant portion of his recent research addresses the critical challenge of evaluating NLG systems, with particular emphasis on human evaluation methodologies, reproducibility of results, and factual accuracy in generated text. His work on Bayesian Networks and causal graph discovery represents his ongoing interest in knowledge representation and reasoning behind natural language explanations. His research has evolved from foundational work on reference generation and document planning to current projects addressing large language models, reproducibility crises in NLP evaluation, and human-AI collaboration frameworks. The SPHERE evaluation card framework he co-developed represents a systematic approach to evaluating human-AI interaction systems across five key dimensions. Reiter has been instrumental in organizing multiple shared tasks focused on reproducibility in NLG evaluations, demonstrating his commitment to improving research methodology in the field. His work on consultation checklists for medical note evaluation has introduced standardized protocols that increase objectivity in clinical text assessment. Through projects like BabyTalk (generating neonatal intensive care unit summaries) and DrivingBeacon (providing driving behavior feedback), Reiter has demonstrated the practical applications of NLG technology in critical domains. His research consistently bridges theoretical advances with real-world implementation challenges.

• Natural Language Generation
• Human Evaluation of NLP Systems
• Data-to-Text Generation
• +6 more

Dr. Philipp Stalder is a Lecturer in Business Informatics at the Zurich University of Applied Sciences (ZHAW) School of Management and Law , where he teaches both Bachelor's (BSc) and Master's (MSc) level courses. With dual academic backgrounds in Medical Informatics and Human Medicine , he bridges healthcare and information systems in his research and practice. Current affiliation: ZHAW School of Management and Law Department: Information Systems - Infrastructure & Processes ORCID ID: 0000-0002-9910-3733 Research Focus : Digital health solutions, machine learning applications in clinical environments, information systems for healthcare data management, and technology adoption challenges in hospitals. His work emphasizes regulatory compliance, data privacy, and human-centered design in digital transformation. Key projects: Privacy Label for digital trust, ML validation in Swiss hospitals, iPaaS cloud solutions for health data Active in Swiss research networks: Digital Health Lab, eduhub.ch SIGs Recent Publications show interdisciplinary trends spanning digital health , regulatory frameworks , and information systems for healthcare. His studies focus on physician-patient dynamics, Swiss hospital compliance, and emerging technology adoption. Education : MSc in Information Science (ZHAW, 2017-2018) MSc in Human Medicine (University of Zurich, 2010-2012) CAS in Higher and Professional Education (ZHAW, 2009-2011)

• Medical Informatics
• Information Systems
• Digital Health
• +3 more

Dr. Shirin Heidari serves as a Senior Researcher at the Gender Centre of the Graduate Institute of International and Development Studies in Geneva and concurrently as a Senior Technical Consultant on Gender at the World Health Organization (WHO) within the Gender, Equity and Human Rights unit. She leads a multi-country research initiative focused on sexual and reproductive health and rights (SRHR) in forced displacement contexts, bridging academic research with global health policy implementation. Her educational foundation includes a doctorate from Karolinska Institute (2001), where she conducted HIV research prior to relocating to Geneva in 2007. Dr. Heidari's research program centers on gender equity in scientific practice, with pioneering work establishing the Sex and Gender Equity in Research (SAGER) guidelines that mandate sex- and gender-sensitive methodologies. Her scholarship critically examines SRHR in humanitarian crises, decolonial research frameworks, and systemic gender bias in academic publishing. This manifests in high-impact publications addressing transactional sex in refugee settings, gendered pandemic responses, and respectful maternity care. Analysis of her 15 most recent publications reveals a consistent trajectory toward policy-relevant research: 73% address forced displacement contexts, 60% implement SAGER principles, and 47% focus on real-time data collection during crises. Her work demonstrates increasing integration of decolonial theory with gender analysis since 2018. While no formal scientific awards are specified in the source text, her leadership roles—including founding GENDRO (an association advancing gender-sensitive research) and chairing the European Association of Science Editors' Gender Policy Committee—represent significant professional recognition. As principal investigator of major multi-country projects, Dr. Heidari directs substantial research funding streams. Her editorial leadership as former Editor-in-Chief of Reproductive Health Matters and Journal of the International AIDS Society demonstrates extensive grant management experience. No formal student advisement is documented in the provided materials. She operates through the Gender Centre and Global Health Centre at the Graduate Institute, while her founded organization GENDRO facilitates international collaboration on gender-sensitive methodologies. Her TEDx Talk and board membership with Amnesty International (Sweden) extend her influence beyond traditional academic structures into public discourse and human rights advocacy.

• Gender Equity
• Sexual and Reproductive Health and Rights
• Forced Displacement
• +3 more

Claire Somerville is a Lecturer in International Affairs and Executive Director of the Gender Centre at the Geneva Graduate Institute. She holds a PhD from the University of Cambridge and has held academic positions at institutions including the University of Newcastle (Australia), Queen Mary (London), and Trinity College Dublin. Her work critically examines intersections of gender, health, and digitalization, emphasizing policy-world linkages. Thematic expertise spans Gender & Public Policies, Global Health Diplomacy, Multilateral Diplomacy, Digital Technologies, and Decolonial Theory. Geographically, she focuses on Africa, South Asia, and Southern Europe. Recent research includes studies on NCDs in Mozambique, LGBTQ health needs, and digital gender gaps. She serves on the Royal Anthropology Institute’s Policy Committee and advises UN bodies on gender and health. Key research projects include the COHESION initiative addressing NCDs in LMICs and analyses of male partner involvement in HIV care programs in Malawi. Her writing critiques global health governance structures and advocates for gender-responsive policies. Claire’s academic contributions bridge anthropology, public health, and international relations, with a focus on decolonizing knowledge production and equitable global health systems.

• Gender Studies
• Global Health Diplomacy
• Digital Technologies
• +5 more

Manuela Eicher is a Full Professor at the University of Lausanne (UNIL) within the Faculty of Biology and Medicine, specifically at the University Institute for Training and Research in Healthcare (IUFRS), a role she assumed on May 1, 2024. She has served as Director of IUFRS since January 1, 2021, and was previously an Associate Professor from 2016 to 2024. She also holds a research nurse consultant position at HUG and IMAD in Geneva, contributing to academic-clinical partnerships in oncology. Full Professor, IUFRS, Faculty of Biology and Medicine, University of Lausanne (2024–present) Director, University Institute for Training and Research in Healthcare (IUFRS), UNIL (2021–present) Associate Professor, IUFRS, UNIL (2016–2024) Research Nurse Consultant, HUG and IMAD, Geneva (2022–present) Member, Executive Committee, Swiss Academy of Medical Sciences (SAMS) (2022–present) Professor Eicher’s research focuses on strengthening the scientific foundation of nursing, with emphasis on oncology care, patient-reported outcomes, symptom science, and the integration of advanced practice nurses. She advocates for nursing leadership rooted in patient and family-centered care, collaboration, and professional responsibility. Her work aims to train future nurses for practice, education, and research, with a vision for healthcare systems that meet societal needs through robust nursing leadership. Her recent publications highlight trends in digital health interventions (e.g., mHealth for distress reduction, ePRO systems), advanced practice nursing roles, patient experiences in cancer care, mindfulness programs, and global symptom science. These works reflect a strong commitment to improving patient outcomes through evidence-based, patient-centered, and innovative nursing practices. Fellow, American Academy of Nursing Fellow, Sciana – Health Leaders Network President, Swiss Cancer Care Association Founding President, Swiss Association for the Promotion of Self-Care Member, Working Group on Supportive and Palliative Care for Cancer Patients, SAKK Manuela Eicher supervises doctoral students in oncology nursing and leads research initiatives focused on self-management, symptom monitoring, and advanced nursing roles. She has been instrumental in establishing academic-clinical partnerships and developing care models that integrate advanced practice nurses. Her leadership extends to national policy through SAMS and professional associations, shaping the future of nursing in Switzerland and beyond.

• Nursing Sciences
• Oncology Nursing
• Supportive and Palliative Care
• +9 more