Prof. Dr. Nadine Scholten is a faculty member at the University Hospital Bonn , leading the Health Communication and Health Services Research (CHSR) center since 2024. She works within the Clinic for Psychosomatic Medicine and Psychotherapy under Prof. Geiser, affiliated with the Medical Faculty of the University of Cologne , where she earned her doctorate and habilitation and leads the LiVe working group . Research focus: Organizational health services research in hospital settings, implementation of therapies/innovations, secondary data analysis, patient/provider perspectives, cross-sectoral healthcare coordination, and regional health services. Current projects include Neo-Milk (donor milk banks in NICUs), Neo-CamCare (webcam use in NICUs), CoRe-Net (regional health development), and studies on outpatient antimicrobial therapy and pandemic impacts on healthcare. Teaching: Leads health communication skills training in medicine. Memberships: DNVF e.V., DGMS, AGENS (secondary data working group). Recent article trends: Focus on data linkage, patient experience, pandemic-era care adaptations, and cross-sectoral healthcare integration, with methodologies spanning qualitative/quantitative analysis of routine data (statutory insurance, DRG statistics).
Li Wei is a distinguished academic affiliated with Tsinghua University, with a focus on interdisciplinary research spanning artificial intelligence, machine learning, and computer vision. His work often intersects with medical informatics, remote sensing, and signal processing, demonstrating a commitment to advancing technological solutions in healthcare, environmental monitoring, and engineering systems. Research interests include deep learning applications in clinical diagnostics, satellite data analysis for climate modeling, and optimization of energy storage systems. He has contributed to innovative solutions in areas such as UAV-enabled edge computing, privacy-preserving blockchain protocols, and thermal-based surveillance systems. His collaborative projects often involve multidisciplinary teams across institutions. Publications reflect a strong emphasis on practical applications, such as mobile health tools for tumor recognition, transformer-based super-resolution techniques for oceanography, and AI-driven risk classification models for respiratory diseases. While no specific awards or grants are listed, his prolific output across top-tier journals indicates sustained research impact. Professional activities include contributions to conferences like RecSys, MICCAI, and AAAI, and editorial roles are implied through his extensive publication record. Collaborations with industry partners (e.g., in energy systems and medical imaging) suggest engagement with real-world problem-solving.
Ewa Szczurek is a Professor at the University of Warsaw's Faculty of Mathematics, Informatics and Mechanics and Co-director of the Institute for AI for Health, leading joint labs at Helmholtz Munich and the University of Warsaw. Education: Master degree in Computer Science from Uppsala University, Sweden (2005) Master degree in Computer Science from University of Warsaw, Poland (2006) Doctoral degree from Max Planck Institute for Molecular Genetics, Berlin (2011) Postdoctoral fellowship at ETH Zurich, Switzerland (2011) Habilitation at University of Warsaw, Poland (2020) Visiting associate professor at Northwestern University, USA (2023) Research Focus: Her work centers on probabilistic graphical models and deep generative models applied to computational medicine, with emphasis on oncology (tumor microenvironment modeling and evolution), pulmonology, and AI-driven antimicrobial peptide design to combat antibiotic resistance. She develops specialized deep learning frameworks for spatial transcriptomics analysis, tumor evolution reconstruction, and synthetic antimicrobial compound generation. Publication Trends: Recent publications (2022-2023) demonstrate consistent innovation in AI-driven biomedical solutions, bridging machine learning with oncology and infectious disease research. Her work shows increasing focus on generative models for drug design and spatial data analysis, with strong industry-academia collaborations (e.g., Merck, IMMUcan consortium). Awards: ERC Consolidator Grant (2023) for DOG-AMP project Scientific and didactic award from Rector of University of Warsaw ETH Zurich and IMPRS fellowship awards Grants & Leadership: Leads the ERC Consolidator Grant project DOG-AMP for antimicrobial peptide design. Serves as Associate Editor for Genome Biology and participates in program committees for ISMB and RECOMB-CCB conferences. Collaborates with international consortia including IMMUcan and Merck's Oncology Bioinformatics department. Labs & Networks: Co-directs AI for Health Institute with joint labs at Helmholtz Munich and University of Warsaw. Active in ELLIS (pan-European AI network) and Polish Bioinformatics Society, driving interdisciplinary research at the AI-medicine interface.
Despina Kontos, PhD is the Herbert and Florence Irving Professor of Radiological Sciences at Columbia University Irving Medical Center (CUIMC), with appointments in the Department of Radiology and the Herbert Irving Comprehensive Cancer Center. She serves as the Chief Research Information Officer for CUIMC, Vice Chair of Artificial Intelligence and Data Science Research in the Department of Radiology, and Director of Biomarker Imaging at NewYork-Presbyterian Hospital. Additionally, she holds appointments in the Departments of Biomedical Informatics and Biomedical Engineering. Dr. Kontos received her educational training from prestigious institutions: BS in Engineering from the University of Patras, Greece MSc and PhD in Computer and Information Sciences from Temple University Postdoctoral training in Radiology at the University of Pennsylvania Certificates in Biostatistics and Epidemiology from UPenn, Cancer Biology from Harvard, and AI for Decision Making from Wharton As a computer scientist with expertise in artificial intelligence and machine learning, Dr. Kontos focuses on developing computational methodologies to leverage imaging as quantitative biomarkers for personalized disease prediction, particularly in cancer. Her research program investigates how imaging data can be mined to extract sophisticated phenotypic signatures with diagnostic, prognostic, and predictive value. While her primary focus has been on breast cancer, her lab also pursues related research in lung cancers, evaluating the integration of CT radiomic features with liquid biopsy data to characterize tumor heterogeneity. Dr. Kontos founded and directs Columbia University's Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), a multidisciplinary center dedicated to developing and integrating quantitative imaging and non-imaging biomarkers for personalized disease prediction. Through CIMBID, she has built a vibrant scientific ecosystem that brings together expertise across Columbia's campuses, linking basic science, engineering, clinical medicine, public health, and health services research. Analysis of Dr. Kontos's publication record reveals a strong focus on applying AI and machine learning to biomedical imaging, particularly for cancer risk prediction and personalized treatment. Her work demonstrates a progression from foundational methodological development to clinical translation, with increasing emphasis on multi-modal biomarker integration. Recent publications show expansion into new disease areas including Alzheimer's disease prediction, while maintaining her strong focus on breast and lung cancer applications. Dr. Kontos has received significant recognition for her contributions to the field: Academy for Radiology and Biomedical Imaging Research Distinguished Investigator Award (2020) Eastern Cooperative Oncology Group - American College of Radiology Imaging Network ECOG-ACRIN Young Investigator Award of Distinction for Translational Research (2014) Dr. Kontos has been highly successful in securing research funding, with numerous grants from federal agencies including the National Institutes of Health (NIH) and the Department of Defense (DOD), as well as private foundations such as the American Cancer Society (ACS) and the Radiological Society of North America (RSNA). Her leadership extends to mentoring students and postdoctoral researchers through her roles at CIMBID and the Department of Radiology. As the founding director of CIMBID, Dr. Kontos leads a multidisciplinary team that includes the Computational Imaging Biomarker Group (CBIG), the Laboratory of AI and Biomedical Science (LABS), and several other affiliated research labs. The center leverages Columbia's institutional strengths in engineering, data science, and clinical medicine to advance personalized healthcare through AI and imaging technologies.
Catia Pesquita is an Associate Professor in Computer Science at the Faculty of Sciences of the University of Lisbon , where she is also a Senior Researcher at LASIGE and leads the Health and Biomedical Informatics Research Line . With a multidisciplinary background in Biology and Computer Science, she focuses on Artificial Intelligence and Data Science applications in life and health sciences . Her research spans Semantic Web , Biomedical Ontologies , Knowledge Graphs , and Explainable AI , with significant contributions to ontology matching and semantic similarity . Education: PhD in Computer Science - Bioinformatics (2012) MSc in Bioinformatics (2008) Degree in Cell Biology and Biotechnology (2005) Current Projects: KATY (2021-2024): AI-Empowered Personalized Medicine for cancer treatments. BRAINTEASER (2021-2024): AI for ALS and MS disease progression models. Research Outputs: Developed tools like AgreementMakerLight (AML) , KGsim-benchmark , and the Epidemiology Ontology . Over 133 publications with significant citations (32,909 reads, 3,889 citations). Teaching: Lectures advanced topics in Databases , Data Integration , Bioinformatics , and Big Data . Advocacy: Vice-president of Biodata.pt , promoting biological data valorization in Portugal. Actively involved in initiatives to promote computer science careers to young women .
Benedikt Brors is a W3 Professor at Heidelberg University and Head of the Department of Applied Bioinformatics at the German Cancer Research Center (DKFZ) since 2014, with prior roles as Group Leader in Computational Oncology at DKFZ and lecturer in Bioinformatics at Heidelberg University from 2003 to 2014. His educational background includes a Dr. rer. nat. in Natural Sciences (1999) and Dipl. Chem. in Chemistry (1995), both from the University of Düsseldorf. Brors' research spans bioinformatics and computational oncology, focusing on cancer genomics, epigenomics, and large-scale genomic analysis through leadership in international consortia like the Pan-Cancer Analysis of Whole Genomes project. His scientific awards include: 2024 Career Award from Proteomass Scientific Society PhD Fellowship from North Rhine-Westphalia (1996-1998) He holds significant advisory and leadership roles across major cancer research networks: Scientific Advisory Board Member, Leibniz Institute for Immunotherapy Steering Committee Member, German Cancer Consortium (DKTK) DKTK Faculty, Core Center Heidelberg Steering Committee Member, Pan Prostate Cancer Group Co-speaker, PM4Onco project (Medical Informatics Initiative Germany) Coordinator, DKFZ activities in German Network for Bioinformatics Infrastructure (de.NBI) Chair, Pan-Cancer Analysis Working Group "Interaction of Genome and Epigenome"
Prof. Dr. Wolfgang Greiner, born in 1965, is the Chair of Health Economics and Health Management at Bielefeld University's Faculty of Health Sciences. He has held this position since April 2005 and leads Working Group 5 (Health Economics and Health Management). Current roles: Dean of Faculty, Chairman of Structure and Budget Commission, Habilitation Committee member. Affiliated with Bielefeld Center for Data Science (BiCDaS). His research focuses on health technology assessment , economic evaluation of health services , quality of life metrics , and disease management frameworks . Recent projects include AI-driven clinical decision support systems for sepsis, financial burden analysis for cancer patients, and smart home emergency call system effectiveness. Key awards include the Austrian Prize for Health Economics, Hannover University Science Prize, and Medvantis Research Prize. He serves as Managing Editor of the European Journal of Health Economics and sits on scientific advisory boards for health insurers. His 2025 articles address dengue burden, AI in critical care, and dyslipidemia epidemiology. Earlier works span meningococcal vaccines, HPV disease costs, and chronic disease management in Germany.
Prof. Dr. Holger Schulz is a Research Fellow and Project Coordinator at the Center for Psychosocial Medicine, Department of Medical Psychology at the University Medical Center Hamburg-Eppendorf (UKE). His work focuses on psychosocial aspects of oncology, mental health in palliative care, healthcare systems research, and digital health interventions. He actively contributes to clinical research and policy analysis, with expertise in mental disorders, healthcare disparities, and patient-centered care. Key research areas include psychosocial oncology, palliative care practices, mental health service utilization, and healthcare provider perspectives on end-of-life care. His work integrates epidemiological methods with clinical practice, emphasizing translational research to improve patient outcomes. He has led studies on smoking cessation in cancer patients, barriers to healthcare access for autistic adults, and the implementation of e-learning tools to enhance digital health literacy. Prof. Schulz collaborates with interdisciplinary teams on randomized controlled trials (e.g., BENITA trial for ovarian cancer patients) and contributes to national health policy initiatives (e.g., Versorgungsforschung im letzten Lebensjahr). His publications span journals in oncology, psychiatry, and health services research, reflecting his commitment to advancing evidence-based mental and physical healthcare integration.
Prof. Dr. Ursula Klingmüller is a Professor at Ruprecht-Karls-Universität Heidelberg and Head of the Division Systems Biology of Signal Transduction (B200) at the German Cancer Research Center (DKFZ) in Heidelberg since 2007. She holds a Venia Legendi in Cell Biology (Heidelberg University, 2004) and Molecular Biology & Genetics (University of Freiburg, 2000). Her career spans leadership roles in systems biology, integrating computational and experimental approaches to understand cellular signaling networks in cancer and other diseases. Education: Diploma in Molecular Biology, Cell Biology, and Virology (University of Heidelberg, 1988) Bachelor of Science (University of Bayreuth, 1985) Doctoral Thesis in Molecular Biology (Heidelberg University, 1992) Research Interests focus on systems biology approaches to signal transduction, particularly the JAK2/STAT5, AKT/ERK, and TGF-β pathways, their roles in cell proliferation, cancer invasion, and dynamic threshold regulation. Her work emphasizes computational modeling of signaling networks and their integration with clinical applications in precision medicine. Key Scientific Contributions include elucidating the context-specific dynamics of ERK phosphorylation, defining the regulatory roles of BAMBI in TGF-β signaling, and advancing personalized dose prediction models for erythropoietin therapies. Her publications reflect interdisciplinary research bridging molecular mechanisms with quantitative modeling. Scientific Awards: FEBS Anniversary Prize (1997) DAAD-Fellowship (1986) DFG-Research Fellowship (1993-1994) Election to the German Ethics Council (2016) Labs & Teams include the Systems Biology of Signal Transduction division at DKFZ, collaborations with the German Cancer Research Center, and leadership in the Master Program Molecular Biosciences at Heidelberg University. She also serves on editorial boards, including as Associate Editor for Nature Systems Biology and Applications , and chairs the Executive Women's Initiative at DKFZ.
Dana Mahr is a Researcher at the Karlsruhe Institute of Technology (KIT) within the Institute for Technology Assessment and Systems Analysis (ITAS) . Her work focuses on Technology Assessment , Science and Technology Studies , and Citizen Science , with particular interests in Epistemic Diversity , Digital Health Research , and the Sociopolitical dimensions of biomedical technologies . Key research areas: Participatory research, gender in science, public trust in technology, and science communication in digital contexts Current projects: Inspiring and Anchoring Trust in Science (IANUS), Moral economies of emerging technologies, and the role of experiential knowledge in biomedical research Teaching: Has designed courses on topics like "Big Data in Medicine" and "Citizen Science" at institutions including Université de Genève and University of Lübeck Her recent publications address issues such as digital patient twins , data diaries in health platforms , and the politics of gender and reproduction . She leads discussions on disinformation, public engagement, and the ethical implications of technology in healthcare. Mahr's work emphasizes the intersection of social theory , scientific governance , and democratic participation in shaping technological futures. Notable collaborations include research with European Citizen Science Association (ECSA) and contributions to debates on transgender rights and digital health equity . Her methodological approach combines historical analysis with participatory frameworks to challenge epistemic hierarchies in scientific practice.
Dr. rer. nat. Joscha Grüger is a researcher at the Experience-based Learning Systems department of the University of Trier . His work bridges artificial intelligence, medical informatics, and software engineering, focusing on AI-driven solutions for healthcare and data-intensive applications. Current research projects include: KI-AIM : AI-based anonymization in medicine KIAFlex : Interactive AI assistance for predictive and flexible control in discharge management DaTreFo : Encrypted data stewardship for medical research Pre-OnkoCase : Case-oriented decision support for skin cancer treatment His publications highlight expertise in probabilistic programming, IoT-enhanced event logs, and clinical decision support systems. Collaborations span international conferences like Petri Nets 2025, ICCBR, and RCIS. Contact: Joscha.Grueger@dfki.de .
Prof. Dr. Ute Nöthlings is a full-time Professor of Nutritional Epidemiology at the University of Bonn's Institute of Nutrition and Food Sciences. Since 2012, she has directed the DONALD Study (Dortmund Nutritional and Anthropometric Longitudinally Designed cohort) and the COPLANT Study (a cohort on plant-based diets), focusing on dietary assessment methods, metabolomics, and microbiome research to understand diet-health relationships across the lifespan. Key Affiliations: University of Bonn, DONALD Study Director, COPLANT Study Director Her research spans three core areas: Dietary Methodology: Developing tools like NutriDiary app and glycemic index extended food-frequency questionnaires for precise nutrient intake analysis. Diet-Disease Relationships: Investigating links between adolescent dietary patterns and adult health outcomes (e.g., fatty liver indices, type 2 diabetes risk markers) through epidemiological cohort studies. Metabolomic & Microbiome Integration: Using advanced omics approaches to identify biomarkers for food intake and explore physiological mechanisms in chronic disease prevention. Key Collaborations: Rhineland Study, UK Biobank, European observational studies on body mass index and gut microbiome Recent publications demonstrate her work's scope: Metabolomic profiling of sweetened beverages and added sugar Gut microbiome analysis in obesity and colorectal cancer Development of sustainable food-based dietary guidelines using mathematical optimization Validation of dietary assessment tools against biomarkers
Sarah Goodwin is an academic affiliated with Monash University in Australia, specializing in data visualization, immersive analytics, and human-computer interaction. She holds a PhD in Visualisation for Household Energy Analysis from City University London (2015). Her research focuses on developing innovative visualization techniques for complex data, particularly in energy systems, healthcare, and geographic information. Key contributions include the Australian Cancer Atlas project (2024), which addressed geostatistical uncertainty visualization, and work on mixed-reality technologies embedding human values (2025). She collaborates extensively with researchers like Tim Dwyer and leads the Data Visualisation and Immersive Analytics Research Lab at Monash. Her publications span journals like IEEE Transactions on Visualization and Computer Graphics and conferences such as CHI and IEEE VAST. Research highlights include gaze analytics tools (VETA), tangible immersive systems (Uplift), and energy consumption visualization frameworks.
Anne Daubmann is a Research Fellow at the Institute of Medical Biometry and Epidemiology within the Faculty of Medicine at the University Medical Center Hamburg-Eppendorf (UKE) . Her work focuses on Medical Biometry and Health Services Research , with significant contributions to Mental Health , Multiple Sclerosis , and Primary Care domains. Her research spans: Digital health interventions for cancer patients Nutritional strategies in MS management Family-oriented mental health policies AI reliability in medical guidelines Resuscitation training methodologies Scientific Awards: Certificate in Medical Biometry (2020) from GMDS and IBS-DR She holds memberships in the International Biometric Society, German Region (IBS-DR) . Her methodological expertise includes statistical analysis in clinical trials and health outcomes evaluation .
Summary Prof. Tim Kacprowski is a Professor and Head of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics (PLRI), jointly affiliated with TU Braunschweig and Hannover Medical School. His research focuses on integrating computational methods with biomedical challenges, particularly in network medicine, federated learning, and alternative splicing analysis. Key projects include the development of the NeDRex platform for drug repurposing and the FeatureCloud framework for privacy-preserving federated learning in healthcare. Research Interests His work spans multiple domains: Network Medicine: Leveraging molecular networks for disease module identification and drug discovery. Data Science: Advanced analytics for biomedical data, including ECG monitoring, microbiome studies, and flow cytometry. Federated Learning: Developing decentralized AI systems to protect patient data while enabling collaborative research. Alternative Splicing: Investigating splicing patterns in diseases like cancer and kidney disorders. Publications Trends Recent publications emphasize tools for drug repurposing (NeDRex-Web), ethical AI in clinical decision-making, and microbiome dynamics in chronic diseases. His work bridges computational methods with clinical applications, addressing challenges in precision medicine and healthcare technology. Labs & Collaborations As head of the Data Science group at PLRI, he leads interdisciplinary teams advancing biomedical informatics. Collaborations span institutions in Germany and internationally, focusing on translational research and AI-driven healthcare solutions.
