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• Statistical Genetics
• Computational Biology
• Biostatistics
• +3 more

Xia Shen is a Senior Research Specialist at the Karolinska Institutet , working within the Department of Medical Epidemiology and Biostatistics . She is part of Yudi Pawitan's research group, focusing on statistical and bioinformatics analyses of high-throughput molecular data. PhD in Statistical Genetics (2012), Uppsala University MSc in Applied Statistics (2008), Dalarna University BSc in Statistics and Actuarial Science (2007), Renmin University of China Her research spans statistical genetics , computational biology , and bioinformatics , with particular emphasis on genetic correlation estimation, pleiotropy analysis, and omics data modeling. She has developed multiple R packages including TGCA (Total Genetic Contribution Analysis) and HDL (High-Definition Likelihood) for advanced genetic analyses. Key scientific contributions include: 2021 Nature Communications paper on improved phenotypic correlation estimation from GWAS data 2020 Nature Genetics work on genetic correlation methodology 2020 Nature Human Behaviour study on neuro-related protein genetics 2019 Frontiers in Genetics analysis of CCR5Δ32 pleiotropy She has previously held positions at the Karolinska Institutet and Sun Yat-sen University , and maintains active collaborations in polygenic risk score development and multi-trait GWAS analysis.

• Renal Epidemiology
• Chronic Kidney Disease
• Cardiovascular Epidemiology
• +2 more

Roosa Lankinen is a Postdoctoral Researcher at Karolinska Institutet's Department of Medical Epidemiology and Biostatistics, working within Juan-Jesus Carrero's Cardio-renal epidemiology research group through 2026. Her position focuses on translational epidemiological research bridging renal and cardiovascular health. Her academic credentials include: PhD from University of Turku (2022) MD from University of Turku (2007) Lankinen's research centers on chronic kidney disease (CKD) progression mechanisms and clinical management, with particular emphasis on stages 4-5. She investigates cardiovascular complications including vascular calcification, arrhythmias, and exercise intolerance, while examining quality-of-life metrics and mortality predictors during transitions to dialysis or transplantation. Her methodology integrates longitudinal cohort designs with biomarker analysis, imaging techniques, and patient-reported outcomes to address critical gaps in cardio-renal syndrome understanding. Analysis of her 2020-2022 publications reveals consistent focus on advanced CKD populations using multimodal assessment approaches. Key trends include vascular calcification progression tracking, cardiac biomarker validation (particularly troponin T), and comprehensive quality-of-life evaluation during treatment transitions. Her work demonstrates strong interdisciplinary collaboration across nephrology, cardiology, and epidemiology domains, with frequent co-authorship patterns indicating stable research partnerships. No scientific awards are documented in the available profile information. Regarding academic mentorship and funding, the provided materials contain no references to student supervision activities or grant acquisitions. Her research appears institutionally supported through Karolinska's departmental infrastructure. She operates within Juan-Jesus Carrero's Cardio-renal epidemiology research group, which specializes in population-level studies of kidney-heart interactions, though specific laboratory facilities or team composition details are not elaborated in the source materials.

• Infectious Diseases
• Clinical Microbiology
• Antibiotic Resistance
• +4 more

Anna C. Nilsson serves as Associate Professor in Clinical Infection Medicine at Lund University's Faculty of Medicine and is affiliated with the Infect@LU research group. Her work spans infectious disease research with focus on Staphylococcus aureus, antibiotic resistance, and pandemic-related critical care outcomes. Her research interests center on infectious disease pathogenesis , particularly Methicillin-Resistant Staphylococcus Aureus (MRSA) dynamics (68% of her work), COVID-19 long-term effects (60%), and emergency department infection management (40%). She investigates symptom patterns (61%), drug resistance mechanisms (54%), and therapeutic interventions across diverse patient populations including injection drug users and critically ill patients. Recent publication trends reveal strong emphasis on post-pandemic health outcomes and antibiotic resistance evolution . Her 2024-2025 work shows increasing focus on mental health sequelae in critical illness survivors and molecular mechanisms of Staphylococcus aureus resistance. The RifRSA project (2021-2026) represents her major ongoing investigation into rifampicin resistance during tuberculosis treatment. Her scientific contributions align with UN Sustainable Development Goals related to health and well-being. Current collaborations span multiple European institutions with active networks in emergency medicine, microbiology, and critical care research. As Principal Investigator on the RifRSA study funded by Maggie Stephens Foundation, she leads research on Staphylococcus aureus resistance patterns during latent tuberculosis treatment. Her work demonstrates significant media engagement with coverage in 2 news outlets, 12 X platform discussions, and 13 Mendeley readers for key publications. She maintains active laboratory work through Infect@LU with focus on bacterial genomics and clinical outcomes research. Current projects investigate longitudinal infection patterns in vulnerable populations and biomarker development for emergency department risk stratification.

Annika SödermanView profile

Assistant Professor

• Palliative Care
• Geriatric Nursing
• Dignity-Preserving Care
• +3 more

Annika Söderman serves as Assistant Professor at Örebro University's Department of Health Sciences within the School of Health Sciences. A registered district nurse since 2008 with clinical experience in palliative care, rheumatic disease management, and primary healthcare, she has taught nursing students since 2012 with specialized focus on palliative/geriatric care and qualitative methodologies across undergraduate and advanced programs. Her educational trajectory includes: Registered Nurse qualification (2002) District Nurse certification (2008) Doctoral degree in Health Care Sciences (2021) Söderman's research centers on dignity preservation for older adults in palliative contexts, particularly through the Swedish Dignity Care Intervention (DCI-SWE). Her work integrates existential health dimensions with practical nursing interventions, employing rigorous qualitative methodologies to explore life closure processes, loneliness in nursing homes, and emergency care transitions. She examines how dignity frameworks can be operationalized within municipal healthcare systems to enhance end-of-life experiences for vulnerable elderly populations. Her publication pattern reveals consistent thematic evolution: from foundational DCI-SWE adaptation studies (2015-2018) through implementation feasibility assessments (2019-2021), to recent sophisticated process evaluations (2022-2024) examining systemic integration and patient-centered outcomes. This trajectory demonstrates increasing methodological complexity and real-world applicability within municipal palliative ecosystems. Actively engaged in collaborative research structures: DCI-SWE research group developing dignity-preserving clinical protocols RIPE (Research in Palliative care) consortium conducting the PACEM project on emergency interventions for palliative patients Cross-institutional partnerships with Borås University on existential health dimensions Her academic supervision focuses on qualitative gerontological research, while externally funded projects address critical gaps in palliative transport systems, dignity measurement, and co-created care models. Current initiatives include national registry studies of bereaved relatives' experiences and theoretical expansions of co-creation frameworks in end-of-life contexts.

Lisa KaatiView profile

Researcher

• Data Science
• Violent Extremism
• Digital Hate
• +4 more

Lisa Kaati serves as a Visiting Researcher at Uppsala University's Department of Information Technology, applying interdisciplinary computer science methods to terrorism studies, digital hate, and violent extremism analysis. With over 40 academic publications and advisory roles for Europol and the EU's Radicalisation Awareness Network, her work bridges technical and security domains. She earned her PhD in Computer Science from Uppsala University in 2008, establishing foundational expertise in formal methods that evolved into security applications. Her educational trajectory reflects a strategic shift from theoretical computer science to real-world security challenges. Dr. Kaati's research centers on data science and machine learning for threat assessment , with pioneering work in author profiling, digital hate detection, and violent extremism analysis. She develops practical tools like the Profile Risk Assessment Tool (PRAT) for written communication risk evaluation, while exploring psychological aspects through linguistic marker identification in radicalized content and suicidal communications. Her methodology integrates computational rigor with behavioral insights to address complex online security threats. Analysis of her 2016-2021 publications reveals a cohesive research trajectory focused on applied machine learning for digital threat detection. Key thematic clusters include behavioral profiling of extreme adopters, linguistic analysis of radicalization markers, and risk assessment frameworks for written communication. These works consistently demonstrate cross-disciplinary innovation, transforming theoretical computer science into actionable security intelligence with policy implications. From 2008-2022, Dr. Kaati led the Data Science group at Sweden's Defence Research Agency (FOI), directing a six-year government commission on online violent extremist propaganda. This leadership role fostered collaborations between computer scientists, psychologists, and security experts to develop evidence-based counter-terrorism strategies. Her current Uppsala affiliation continues this interdisciplinary tradition within the Division of Computer Systems.

Amin KavehView profile

Researcher

• artificial intelligence
• data mining
• uncertain networks
• +1 more

Amin Kaveh is a Postdoctoral Researcher at the Department of Information Technology, Division of Computer Systems , Uppsala University. His work focuses on probabilistic networks, data mining, and artificial intelligence applications in network analysis. Education: Doctoral Thesis (2022) and Licentiate Thesis (2019) in probabilistic network modeling. Research Areas: Uncertain networks, network mining, IoT security, and graph algorithms. Publication Trends : Recent work explores intrusion detection in IoT networks (2024), overlapping clustering (2022), and topological measures in probabilistic networks (2021). His research combines theoretical network analysis with practical applications in cybersecurity and machine learning.

• Leadership
• Organizational Culture
• Employeeship
• +4 more

Thomas Andersson is a Professor of Business Administration at the University of Skövde 's School of Business , specializing in organizational theory, leadership, and public sector management. His research explores institutional work, identity processes, and the interplay between managerialism and professional autonomy. Academic Focus : Leadership training, organizational culture, employeeship, digital transformation, and healthcare governance Key Methodology : Institutional theory, action research, and qualitative studies Collaborations : Works with researchers across Scandinavia and in multidisciplinary teams His recent publications analyze institutional complexity in healthcare, digital transformation challenges, and value creation models in public collaborations. While no formal awards are listed, his work appears in leading journals like Public Management Review and Journal of Professions and Organization .

• Democratic education
• Moral aspects in teaching
• Educational leadership
• +2 more

Lena Fritzen is a Professor at Linnaeus University, specializing in pedagogy and educational sciences. Her research focuses on the intersection of systemic requirements and human meaning-making in education, particularly examining democratic and moral aspects of teaching, interprofessional learning in healthcare, and the impact of policy documents on professional development. Pro-rector at Linnaeus University since 2007 Executive board member of The Kamprad Family Foundation Chairman of The Bridge collaboration between IKEA and Linnaeus University Her research explores how policy standardization alters professional workflows, with a multidisciplinary team analyzing healthcare quality improvement and leadership communication. Recent publications emphasize teacher identity evolution (2022), Habermasian ethics in practice (2010), and comparative policy analysis between England and Sweden (2006). Collaborations span education, healthcare, and organizational development, with co-authorships on interprofessional teams and discourse analysis. She has contributed extensively to journals like Professions & Professionalism and Quality Management in Health Care .

• Pedagogy
• Psychology
• Lifecourse Studies
• +3 more

Anna Herbert is a researcher at the Department of Psychology, Faculty of Health and Life Sciences, Linnaeus University. She contributes to the Centre for Ageing and Lifecourse Studies, focusing on educational theory, pedagogy, and psychological impacts of trauma and aging. Department: Psychology School: Faculty of Health and Life Sciences University: Linnaeus University Her research explores complexity thinking in psychology education, tacit dimensions of pedagogy, and the intersection of media, aesthetics, and learning. She investigates aging workforce dynamics, trauma-informed care, and creative educational methodologies rooted in psychoanalytic and postmodern frameworks. Recent publications analyze mindfulness-flow neural connections in sports, labor market retention beyond retirement age, and trauma-informed educational practices. Her work bridges pedagogical theory with practical applications in higher education and social psychology. Anna Herbert has authored/co-authored books on creativity in pedagogy, trauma in classrooms, and lacanian educational approaches. She evaluates programs like trauma-informed care and contributes to educational strategy literature. No scientific awards or student advising details were explicitly mentioned in the scraped text.

Ingela FurenbäckView profile

Senior Lecturer

• Collaboration in healthcare
• Public health science
• Higher education pedagogy
• +5 more

Ingela Furenbäck is a Senior Lecturer at Kristianstad University's Department of Working Life Human-Health-Society (MHS), Faculty of Economics. She earned her Doctor of Public Health in 2012 and is recognized as a Merited teacher . Her career includes a five-year stint (2015-2020) as a social work lecturer at Linnaeus University, where she also served as a post-doctoral researcher. Education : Doctor of Public Health (2012), Master's in Social Work (2001), Human Resources Consultant Training (2002), Bachelor's in Social Work (1988) Her research focuses on collaboration from ontological conflict theory perspectives, particularly in healthcare systems and interorganizational dynamics. She developed the dynamic collaboration model to address conflicts through participatory action research (PAR) and collaborative inquiry (CI), emphasizing stakeholder engagement across hierarchical levels. Recent projects include Backa Barnet implementation (2024-) to improve child/youth collaboration between organizations, and Sustainability Change Agents (2024) exploring transformative learning in higher education. Her 15 most recent works span 2012-2025, with recurring themes in public health, educational reform, and SDG4 (Quality Education). Scientific contributions include: 2012: Doctoral thesis on collaboration development in healthcare 2024: Book chapter on person-centered approaches 2024: Journal article on transformative learning She serves as a scientific advisor for the National Board of Health and Welfare (2020-2028) and leads national networks for child-relative research. Her pedagogical innovations emphasize student activity through role-playing, reflective dialogues, and co-developed teaching frameworks with colleagues.

• Economic History
• Innovation Studies
• Network Analysis
• +6 more

Josef Taalbi is an Associate Professor at the Department of Economic History, Lund University, with a secondary role as Senior Lecturer in "Sustainability transformations over time and space" at the same institution. His research combines economic history, network analysis, and innovation studies to examine long-term technological change, focusing on innovation networks and gender dynamics in the automotive industry. He teaches courses on innovation economics and social change. Key research areas include: Historical patterns in technological innovation and industrial dynamics Network analysis of innovation systems Gender ideology in early electric vehicle marketing Public funding effects on renewable energy transitions His 15 most recent publications (2024-2025) analyze: Explorative/exploitative collaboration impacts on SMEs Gendered perceptions of electric vehicles in the 20th century Long-run innovation patterns in technological systems Public investment in Swedish renewable energy from 1970-2021 He leads the SWINNO research program funded by VINNOVA, manages the Swedish innovation database, and has presented at multiple public lectures including topics on environmental innovation and regional innovation patterns.

• Bioinformatics
• Plant Stress Biology
• Gene Expression Analysis
• +5 more

Angelica Lindlöf is an Associate Professor in Bioinformatics at the University of Skövde's School of Bioscience, where she conducts research at the intersection of computational methods and biological systems. Her work spans plant stress biology and cancer genomics, demonstrating a strong interdisciplinary approach to complex biological questions. Dr. Lindlöf's research interests focus on bioinformatics applications in plant stress responses and cancer biology. Her work in plant biology examines molecular mechanisms of drought and salinity tolerance in crops like wheat, barley, and rice, with particular attention to melatonin biosynthesis pathways. In cancer research, she investigates genetic factors in neuroblastoma, a childhood cancer affecting the nervous system. Her methodological expertise includes gene expression analysis, systems biology, and computational approaches to understanding complex biological networks. Analysis of her recent publications reveals a consistent pattern of interdisciplinary research bridging computational methods with biological questions. Her work shows particular strength in identifying regulatory networks and key genes involved in stress responses in plants, as well as genetic factors influencing cancer progression. The integration of bioinformatics tools with experimental biology is a hallmark of her research approach. Dr. Lindlöf actively mentors students through her role as a course coordinator and thesis project supervisor. She is involved in several research projects, including the ongoing project 'Identifying precision medicine treatments in myelodysplastic syndrome' (January 2025-March 2027) and the recently completed project 'Genes as targets for cancer treatment' (January 2015-July 2021). She teaches a range of bioinformatics courses including 'Bioinformatics analysis with Python,' 'Analysis of NGS-data,' and 'Bioinformatics – research process,' emphasizing practical computational skills for biological data analysis. Her teaching reflects her research expertise, providing students with hands-on experience in applying computational methods to biological problems.

• Endocrinology
• Metabolism
• Reproduction
• +7 more

Anna Benrick is an Associate Professor of Biomedicine at the University of Skövde's School of Health Sciences, where she has led her own research group since 2015. With over 20 years of experience in endocrinology, metabolism, and reproduction, her work focuses on the relationship between androgen excess and conditions including mental illness, reproductive disorders, obesity, and type 2 diabetes in women. She returned to academia in 2010 after completing a postdoctoral fellowship at the Garvan Institute for Medical Research, funded by the Swedish Research Council. Dr. Benrick's research program centers on polycystic ovary syndrome (PCOS), investigating underlying mechanisms and developing new treatment approaches. Her work spans multiple disciplines including endocrinology, metabolism, reproductive biology, and neuroscience, with particular emphasis on adiponectin signaling, transgenerational effects of androgen exposure, and metabolic complications of PCOS. Her laboratory employs diverse methodologies including animal models, proteomic analysis, clinical interventions, and molecular techniques to understand PCOS pathophysiology. Analysis of her recent publications reveals a strong focus on the interplay between hormonal imbalances and metabolic disorders, with increasing attention to transgenerational effects and immune system interactions in PCOS. Her work consistently bridges basic science with clinical applications, particularly in developing non-pharmacological interventions like electroacupuncture for PCOS management. As a dedicated educator and mentor, Dr. Benrick supervises doctoral students and regularly hosts research students in her laboratory. Her ongoing research project 'Obesity and androgen excess in women – adiponectin as a new treatment option' (2019-2021) exemplifies her translational approach to developing treatments that address both metabolic and reproductive aspects of PCOS. Her laboratory operates at the intersection of endocrinology and metabolism research, collaborating extensively with other researchers at the University of Skövde and internationally. The team combines expertise in molecular biology, animal physiology, and clinical research to address complex questions about PCOS pathogenesis and treatment.

• Microbiology
• Bacterial Pathogenesis
• Immunology
• +4 more

Erik Gustafsson is an Associate Professor in Biosciences at the University of Skövde, Sweden, where he is affiliated with the Department of Biosciences within the School of Bioscience. He maintains his office in Room G3312 and serves as a course coordinator for multiple undergraduate and graduate level courses in biosciences and biomedicine. Dr. Gustafsson's research focuses on bacterial pathogenesis, particularly on Staphylococcus aureus virulence mechanisms and host-pathogen interactions. His work combines molecular microbiology with mathematical modeling approaches to understand regulatory networks governing bacterial virulence. More recently, he has expanded his research to include honeybee health and gut microbiome studies, investigating how different overwintering diets affect bees' gut flora and colony development. His publication record demonstrates a strong focus on bacterial communication systems, particularly quorum sensing in Staphylococcus aureus and Streptococcus pneumoniae . His research integrates experimental microbiology with computational modeling to unravel complex regulatory networks. The consistent theme across his work is understanding how bacteria sense their environment and regulate virulence factors accordingly. As an educator, Dr. Gustafsson coordinates numerous courses at both bachelor's and master's levels, covering various aspects of biosciences and biomedicine. His teaching responsibilities include courses totaling 2.5-30 credits across different academic levels. Currently, he leads a research project titled 'Honeybee health after winter: what role does the gut flora play?' (April 2025 - December 2025), which addresses winter mortality in honey bees - a major problem for Swedish beekeeping. This project represents an expansion of his research interests into environmental microbiology and sustainable agricultural practices.

• Artificial Intelligence
• Machine Learning
• Big Data Analytics
• +7 more

Göran Falkman is an Associate Professor of Computer Science at the University of Skövde, working within the Department of Information Technology at the School of Informatics. His research spans artificial intelligence, machine learning, big data analytics, and human-computer interaction, with applications in transportation, healthcare, and defense domains. His educational background includes a PhD in Computing Science and he holds the Swedish academic title of Docent in Computer Science. He has supervised numerous PhD students including Niclas Ståhl, Rakesh Rana, Ulrika Ohlander, and Maria Riveiro. Falkman's research interests focus on developing AI systems that effectively support human decision-making. His work includes driver intention recognition, uncertainty quantification in deep learning, maritime anomaly detection, and cockpit interface design for fighter pilots. He has developed approaches for interactive clustering, visual data analysis, and information fusion that bridge the gap between complex algorithms and human understanding. His recent publications demonstrate a strong trajectory in applying deep learning to transportation safety, particularly driver intention recognition, while maintaining his longstanding interest in human-centered AI systems. His work shows increasing sophistication in uncertainty modeling and probabilistic approaches to machine learning. Falkman has led major research projects including BISON (Big Data Fusion), BIDAF (Big Data Analytics Framework), and collaborations with Saab Aeronautics on human-machine interfaces for distributed decision-making in aviation contexts. He has supervised numerous PhD students across diverse applications of AI, from drug design to fighter pilot teamwork, demonstrating his ability to guide research at the intersection of theory and practical application. His work consistently addresses the challenge of making complex AI systems transparent and trustworthy for human users.