Find Academic Supervisors

• Pharmacoepidemiology
• Drug Safety
• Diabetes Mellitus
• +3 more

Björn Pasternak is a Research Professor leading the Pharmacoepidemiology group at the Department of Medicine, Solna, Karolinska Institutet. His team specializes in large-scale registry studies focused on adverse drug effects, with research programs in pediatric pharmacoepidemiology, safety of diabetes medications, and rapid assessment of drug safety concerns. The group leverages high-quality epidemiological methods to inform evidence-based clinical decisions. Pasternak's research interests span pharmacoepidemiology, drug safety, diabetes outcomes, cardiovascular risk, and perinatal health. His work utilizes nationwide registries to evaluate real-world drug effects, socioeconomic disparities in treatment, and long-term outcomes of chronic therapies. Key focuses include GLP-1 receptor agonists, SGLT2 inhibitors, antibiotic use in pregnancy, and opioid safety. Recent publications demonstrate strong emphasis on Scandinavian cohort studies of diabetes medications (GLP-1 agonists, SGLT2 inhibitors) and their associations with thyroid cancer, liver events, intestinal obstruction, and cardiovascular/renal outcomes. Other trends include perinatal pharmacovigilance (antibiotics, acid-suppressive drugs) and neurodegenerative risks in athletes.

Matteo MagnaniView profile

Professor

• Network Science
• Social Network Analysis
• Computational Social Science
• +10 more

Matteo Magnani is a Professor in the Division of Computing Science at the Department of Information Technology, Uppsala University. He leads the Uppsala University Information Laboratory and is a founding member of the Uppsala University Computational Social Science Lab. His research spans network science, artificial intelligence, data science, and computational social science, with a focus on social data mining and multilayer networks. PhD in Computer Science, University of Bologna, 2006 Graduated with honours in Information Sciences, University of Bologna, 2002 Studies in Computer Science at University of Marne la Vallée and Imperial College London Matteo Magnani's research interests include social network analysis, multilayer and probabilistic networks, community detection, visual analytics, and the application of AI to digital media and climate communication. His work bridges computer science and social sciences, particularly in analyzing online discourse and digital intermediaries. He has contributed significantly to the understanding of network structures, uncertainty in networks, and the ethical dimensions of algorithmic analysis. His recent publications highlight trends in fairness in community detection, visual saliency in network layouts, emotional reactions to climate visuals online, and deep learning applications in social media. Topics frequently involve YouTube, Twitter, and online public debates, using advanced network and machine learning methods. Rotary Prize for best student of the Science Faculty Best Paper Award Funniest Presentation Award Best Poster Award Pedagogical Prize from UTN Distinguished University Teacher (Sweden) Docent title (Sweden) Magnani has supervised numerous students and collaborated widely, particularly with Luca Rossi, Alexandra Segerberg, and Davide Vega. He has secured funding from major sources including VR, H2020, STINT, and MIUR. He leads active research labs focused on information systems and computational social science, fostering interdisciplinary collaboration and innovation in network-based research.

Maria FällmanView profile

Professor

• Molecular microbiology
• Bacterial pathogenesis
• Infection biology
• +7 more

Maria Fällman is a Professor at the Department of Molecular Biology at Umeå University, where she also serves as Deputy Head of Department. She is affiliated with Molecular Infection Medicine Sweden (MIMS), a leading research center for molecular infection medicine in Sweden. Dr. Fällman's research focuses on understanding the molecular mechanisms behind bacterial adaptation to different environments, with particular emphasis on Yersinia pseudotuberculosis and Salmonella enterica Typhimurium. Her group investigates gene regulation critical for establishing and maintaining infections, bacterial stress responses, and the molecular mechanisms of the Type Three Secretion System (T3SS). The lab has developed advanced methods for RNA extraction from complex tissue samples and performs in vivo gene expression analyses. Her publication record shows consistent contributions to understanding bacterial pathogenesis, with recent articles in high-impact journals including Nature Communications, Science, and PLOS Pathogens. Her work spans from fundamental molecular mechanisms of bacterial virulence to computational approaches for analyzing pathogen stress responses. A significant contribution is the PATHOgenex database (http://www.pathogenex.org), containing gene expression data of over 30 human pathogens exposed to different stress conditions. Dr. Fällman leads the Maria Fällman Lab, which has made important discoveries including the finding that sub-lethal doses of Yersinia result in persistent infection in mice with reprogramming of bacterial gene expression. Current projects focus on stress response modeling and deciphering heterogeneous populations of infecting bacteria using single-cell RNA-seq.

Staffan BenschView profile

Professor

• bird migration
• host-parasite interactions
• evolutionary genetics
• +3 more

Staffan Bensch is a Professor at Lund University, holding roles in the Molecular Ecology and Evolution Lab, Lund Migration Group, and Immunogenetics and Infection Biology. His research focuses on evolutionary biology, particularly bird migration genetics and host-parasite interactions of avian malaria. He leads projects on migratory divides in willow warblers and chiffchaffs, and maintains the MalAvi database of bird malaria lineages. Education: PhD in 1993 from Lund University, with postdoctoral work at UC San Diego. Techniques: Molecular Ecology methods including genomics and tracking technologies. Research Interests: Genetic basis of migration Host-parasite evolution Avian malaria biodiversity Publications: Over 267 articles, including recent work on migratory genetics and parasite population structures. Awards: Rosén Linnaeus Prize (2019), Katma Award (2016), Elliott Coues Award (2014). Grants: Active projects on climate adaptation in willow warblers and comparative studies of migration genetics. Supervised 11 students including Violeta Caballero-Lopez (PhD). Labs/Teams: Molecular Ecology and Evolution Lab, Lund Migration Group.

Alexander HollbergView profile

Associate Professor

• Sustainable Design
• Optimization Processes
• Stakeholder Interaction
• +4 more

Alexander Hollberg is an Associate Professor in the Division of Building Technology at Chalmers University of Technology, within the School of Architecture and Civil Engineering. His academic role focuses on Computational Sustainable Design, emphasizing the development of digital tools for sustainable building and urban design. He holds a PhD in Parametric Life Cycle Assessment (2016) from Bauhaus University Weimar, an MSc in Architectural Engineering (2011), and a BSc in Civil Engineering (2008) from Technical University of Munich (TUM). His research interests include Sustainable Design Optimization, Stakeholder Interaction, Artificial Intelligence, and Life Cycle Assessment (LCA). He co-founded CAALA, a software and consulting startup in Munich, Germany, advancing tools for real-time environmental performance evaluation in early design stages. Recent work includes studies on digital twins for urban planning, robust renovation strategies, and AI-driven facade optimization. Hollberg was promoted to Docent (Associate Professor) in Computational Sustainable Design in 2022, focusing on bridging computational methods with sustainable environmental transitions. His collaborative projects address tool development for stakeholder engagement, BIM integration, and circular economy frameworks in construction. Key Projects: Development of Bombyx and Twinable tools for real-time LCA and urban simulation Leading the Nordic Build-LCA PhD forum and BIM-based LCSA applications Contributions to IEA EBC Annex 72 guidelines on life cycle environmental impacts Education Background: PhD in Parametric Life Cycle Assessment, Bauhaus University Weimar, 2016 MSc in Architectural Engineering, Bauhaus University Weimar, 2011 BSc in Civil Engineering, Technical University of Munich, 2008 His research outputs prioritize early design-stage decision support through parametric modeling and AI, with a focus on carbon neutrality and material circularity in construction.

Gurjot SinghView profile

Research Fellow

• Cybersecurity
• Aviation Network Security
• Secure Communications
• +3 more

Gurjot Singh is a Research Fellow at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. His research focuses on cybersecurity in aviation systems, next-generation communication networks, and industrial IoT security. He collaborates with prominent researchers like Andrei Gurtov and Suleman Khan, contributing to projects such as SEC-AIRSPACE and Post Quantum Secure Handover Mechanisms. His work spans vulnerability assessments, secure protocol design, and post-quantum cryptography applications. Education details are not explicitly stated, but his research aligns with advanced cybersecurity and network engineering domains. Key research interests include aviation cyber risk assessment, secure data link communications, and privacy-preserving authentication mechanisms for IoT and industrial environments. Publications emphasize cybersecurity challenges in aviation, industrial networks, and IoT, with recent work addressing quantum-resistant protocols and drone remote identification security. Collaborations include contributions to conferences like NordSec and AIAA DATC. He is affiliated with the cybersecurity lab at LiU, supporting educational programs like Digital4Business, which integrates AI and cybersecurity expertise. His role in the Database and Information Techniques (ADIT) division highlights involvement in interdisciplinary research groups.

• Epidemiology
• Women's Mental Health
• Perinatal Depression
• +2 more

Donghao Lu is a Professor at Karolinska Institutet's Institute of Environmental Medicine, where he leads the Epidemiology of Women's Mental Health Lab. His research program focuses on psychiatric epidemiology with specialization in women's reproductive mental health, using large-scale population cohorts to investigate biological mechanisms and health outcomes. Primary research domains include: Risk factors and health consequences of perinatal depression and premenstrual disorders Bidirectional relationships between autoimmune diseases and mood disorders Gender disparities in mental health presentation and outcomes Cardiometabolic comorbidities in reproductive psychiatric conditions His recent publications (2023-2025) demonstrate strong methodological consistency, predominantly using Scandinavian national registries for longitudinal cohort designs. Research themes show progression toward understanding systemic health impacts of reproductive mood disorders, particularly cardiovascular risks and mortality. Over 90% of recent work incorporates population-level data analysis with sample sizes exceeding 10,000 participants. Laboratory focus includes integrating epidemiological methods with biomarker research to bridge obstetrics/gynecology and psychiatry. Current projects investigate inflammatory pathways in perinatal depression and genetic determinants of premenstrual disorder trajectories. The team maintains international collaborations across Scandinavia, China, and North America.

Stefan GelfgrenView profile

Associate Professor

• Sociology of Religion
• Digital Media and Religion
• Digital Humanities
• +3 more

Stefan Gelfgren is Associate Professor of Sociology of Religion and Senior Lecturer in Didactics of Religion at Umeå University's Department of Historical, Philosophical and Religious Studies. He holds a PhD in History of Ideas (Umeå University), MPhil in History of Christianity (Birmingham University), and BA in Construction Engineering. His research examines: Social/technical/religious transformations throughout history Digital media's impact on Christian institutions Digital humanities methodologies Surveillance in everyday life Religious geography and mapping Recent publications (2020-2025) focus on digital religion, surveillance ethics, Swedish revivalism, and geospatial humanities. Key trends include institutional adaptation to digitalization and historical continuities in religious media. Awards include the 2022 Erik Allardt Fellowship at Helsinki Collegium for Advanced Studies. He leads multiple research initiatives: Wallenberg-funded DINO project on digital privacy/social benefit (Co-investigator) Nordic Places of Worship Map (Project Leader) iAccept: Soft Surveillance (Principal Investigator 2017-2021) As former Director of Humlab (2015-2020), he developed digital humanities infrastructure. He chairs the Swedish Association for Sociology of Religion and serves on Umeå University's Faculty Board.

• Thermodynamics
• Diffusion
• Phase Transformations
• +3 more

Powder Metallurgy (MH2100) and has expertise in computational materials science. His research emphasizes predictive modeling of material behavior, including precipitation kinetics, sintering processes, and coating interactions. Notable areas include phase field modeling of discontinuous precipitation, spinodal decomposition in Fe-Cr alloys, and high-entropy alloy design. His studies bridge experimental data with computational tools like the YAPFI phase-field framework. Key themes in his publications span cemented carbides, Co-based entropic alloys, and tool wear mechanisms. He combines CALPHAD thermodynamic modeling with first-principles calculations to address challenges in materials processing and corrosion resistance. His work often addresses industrial applications, such as optimizing machining tools and additive-manufactured superalloys.

• Software Metrics
• Model Driven Software Development
• Empirical Software Engineering
• +5 more

Miroslaw Staron is a Professor of Interaction Design and Software Engineering at Chalmers University of Technology. He maintains a unique 50/50 work arrangement, spending half his time on field research at Ericsson while holding his academic position. His research bridges academic theory with industrial practice through collaborations with major companies including Volvo Car Corporation and Volvo Information Technology. His research spans several key areas in software engineering: Software metrics and measurement systems in industry Model driven software development and empirical studies Defect prediction in software projects Requirements engineering in model-based development Applications of AI and machine learning in software engineering Automotive software development and security Staron's recent work demonstrates a strategic shift toward integrating AI technologies into software engineering processes, with particular focus on automotive applications. His publications from 2024-2025 reveal expertise in generative AI applications for code review automation, testing methodologies, and requirements engineering, showing how these technologies can transform traditional software development practices while addressing domain-specific challenges in automotive systems. Current research projects include: Kvantdatorer för framtidens mobilitetslösningar (2025-2027) Automatiserad och designoptimerad programvarukonstruktion/kodgenerering (2025-2029) Förvandla fordonsarkitektur med hjälp från AI (2021-2023) Arkitektonisk design och verifiering/validering av system med maskininlärning komponenter (2020-2024) With 78 publications documented in Chalmers' research database, Staron has established himself as a significant contributor to evidence-based software engineering research with strong industrial relevance.

Dirk RepsilberView profile

Professor

• Functional Bioinformatics
• Molecular Networks
• Medical Data Analysis
• +5 more

Dirk Repsilber is a Professor of Medical Science at Örebro University, specializing in functional bioinformatics. He leads research on molecular patterns in patients to improve diagnosis and treatment. Born in Lübeck, Germany, he earned his PhD in ecological genetics from the University of Hamburg and held postdoctoral roles at institutions across Sweden and Germany. His work integrates bioinformatics, biostatistics, and clinical collaboration to address complex biological systems. Education: PhD in Ecological Genetics (University of Hamburg, 1999), postdoctoral training at Uppsala University and SLU, followed by roles at German institutions including Lübeck, Potsdam, Rostock, and Örebro. Research Interests: Molecular networks, biosignature development, systems biology approaches to genotype-phenotype mapping, and interdisciplinary collaborations in medicine, statistics, and computer science. Key Projects: BIO IBD (biomarker discovery in inflammatory bowel disease), Cell Painting for toxicity assessment, and systems-level immunomonitoring in pediatric oncology. Active in cross-disciplinary teams like the Center for Life Sciences Nutrition-Gut-Brain Interactions. Teaching & Supervision: Cross-disciplinary courses in bioinformatics, statistical counseling, and supervision of PhD students in diverse fields. Emphasizes problem-based learning and communication skills across disciplines.

Daniel EdlerView profile

Researcher

• Network Science
• Biodiversity
• Ecological Modeling
• +3 more

Daniel Edler is a Researcher and Postdoctoral Fellow at the Department of Physics, Umeå University. His work focuses on network science, biodiversity analysis, and ecological modeling, with a particular emphasis on developing computational tools for community detection and biogeographical mapping. He contributes to interdisciplinary research, integrating methods from computer science, ecology, and information theory. Edler leads the development of Infomap Bioregions, a tool for mapping biogeographical regions using species distribution data, and CoordinateCleaner, which standardizes biological occurrence records. His research also explores threats to Madagascar’s biodiversity and the interplay between socio-political factors and biodiversity data availability through tools like Bio-Dem. He has co-developed raxmlGUI 2.0, a phylogenetic analysis interface, and contributes to the Infomap software package for network analysis. Edler’s publications highlight themes in higher-order network flows, multilayer community detection, and ecological network modules. His work appears in journals such as Science , American Journal of Botany , and Methods in Ecology and Evolution . He is an active member of the Complex Systems research group at Umeå University.

Malin SellebyView profile

Professor

• Materials Science
• Thermodynamics
• Computational Materials Science
• +4 more

Malin Selleby is a Professor at KTH Royal Institute of Technology, affiliated with the Digital Futures research center and the UNIT STRUCTURES unit. She holds the role of Head of Unit within her department. Her research focuses on computational materials science, thermodynamics, and alloy design, with a particular emphasis on phase equilibria, Calphad modeling, and high-entropy alloys. She teaches courses such as Thermodynamic Modeling and supervises degree projects in materials and process design. Research Interests: Materials Science, Thermodynamics, Metallurgy, Computational Modeling. Key Projects: Third-generation Calphad databases, phase stability analysis, machine learning applications in materials research. Her work bridges fundamental material science with industrial applications, addressing challenges in sustainable materials and alloy development. Over 100 peer-reviewed publications highlight her contributions to thermodynamic modeling, phase equilibria studies, and material characterization. Collaborations span academia and industry, including RISE Research Institutes of Sweden and Stockholm University through Digital Futures. Labs/Teams: Active in the Digital Futures interdisciplinary center and leads research groups focused on computational thermodynamics and advanced materials innovation.

Clare BradshawView profile

Professor

• Marine Ecology
• Ecotoxicology
• Marine Pollution
• +7 more

Clare Bradshaw is a Professor in the Department of Ecology, Environment and Botany at Stockholm University. She is a marine ecologist and ecotoxicologist specializing in human impacts on marine ecosystems, with expertise in radioactive contaminants and bottom trawling effects. Her research focuses on how ecological processes determine the overall effects of disturbance, particularly in the Baltic Sea and Kattegat regions. Dr. Bradshaw's research interests span marine ecology, ecotoxicology, and sediment biogeochemistry, with a strong emphasis on understanding how bottom trawling affects seabed processes, sediment dynamics, and contaminant suspension. She has extensive experience studying marine pollution, particularly radioactive contaminants, and has evolved from earlier work on coral bleaching in the Indian Ocean and bottom trawling effects in the Irish Sea to her current focus on Baltic Sea ecosystems. Her recent publications reveal a strong focus on carbon cycling in marine environments, sediment biogeochemistry, and the cumulative impacts of human activities on seabed integrity. The research shows increasing attention to policy implications, with several publications addressing how scientific findings can inform marine conservation and fisheries management practices, particularly regarding carbon storage capacity in marine environments and the long-term recovery of benthic ecosystems. Member of the Bradshaw Research Group at Stockholm University Course organizer for the Marine Biology summer course Actively seeking Master's students for research on Baltic benthic macrofauna (as of Sept 2023) Dr. Bradshaw collaborates extensively with multiple institutions including SLU Aqua, DHI, Aquabiota, University of Cagliari, Edith Cowan University, IAEA Marine Lab Monaco, and NIVA. Her research has significant implications for marine conservation policy, fisheries management, and understanding the role of marine ecosystems in global carbon cycling.

Muhammad HumayounView profile

Senior Lecturer

• Machine Learning
• Computational Linguistics
• Natural Language Processing
• +5 more

Dr. Muhammad Humayoun is a Senior Lecturer at Karlstad University, Sweden, specializing in informatics education and computational linguistics research. He holds a Ph.D. from University of Grenoble Alpes (2012) and M.Sc. from Chalmers University (2006). His academic career spans over 15 years across Pakistan and Sweden, including teaching roles at COMSATS University, University of Central Punjab, and Higher Colleges of Technology. Research Focus: His work centers on NLP applications for under-resourced languages like Urdu/Punjabi, including text summarization, abusive language detection, and formalization of mathematical texts. He has developed linguistic resources (corpora, lexicons) and contributed to plagiarism detection systems in programming courses. Teaching Contributions: Designed and taught over 15 courses across multiple universities, including advanced programming, AI, and cloud computing modules. Currently teaches graduate-level courses like 'Legal Tech, AI and Rules-as-Code' and undergraduate software engineering courses at Karlstad University. Awards: Recognized for Urdu threat detection system (3rd place, 2021) and top rankings in Urdu fake news competitions. His work on Urdu summarization corpora has been widely cited in computational linguistics research.