جست‌وجوی استاد و پژوهشگر

Giulio Bianchi Piccininiمشاهده پروفایل

دانشیار

• Road Safety
• Human Factors in Transportation
• Traffic Psychology
• +۳ مورد دیگر

Giulio Bianchi Piccinini is an Associate Professor at Aalborg University’s Department of Construction, Urban and Environmental Engineering, leading the research group Data Analysis and Human Factors in Traffic . His career spans academia and industry, including nine years at Chalmers University of Technology’s Crash Analysis and Prevention group and prior automotive industry experience in Italy. Education : PhD in Transportation Systems (University of Porto, 2019); Master’s in Automotive Engineering (Polytechnic University of Turin, 2014); Bachelor’s (2007). Giulio’s research centers on road safety , analyzing accident mechanisms involving drivers, cyclists, and pedestrians. His work combines expert assessment and naturalistic data (video, kinematic variables) with theoretical foundations in engineering , cognitive science , and human factors . Recent projects include Safe e-PMvs (electric personal mobility safety) and Computer Vision for Cycling Safety . His articles highlight trends in driver-cyclist interactions , autonomous vehicle safety , and behavioral adaptation to driver assistance systems. Awards include the 2016 Best Presentation Award and 2007 Best Italian Master’s Thesis in Automotive Engineering . Teaching : Supervises undergraduate and graduate students in Civil Engineering and Roads & Traffic Engineering; developing a new Master’s program in Sustainable Road Transportation. Leadership : Served on editorial boards of Journal of Safety Research and European Transport Research Review ; former head of Chalmers’ Human Behaviour competence network.

Jesper Raalskovمشاهده پروفایل

عضو هیئت علمی

• Customer-oriented employees in sales and advisory roles
• Talent management
• Role stress and work-related stress
• +۶ مورد دیگر

Jesper Raalskov is Teaching Associate Professor at the Department of Business and Sustainability (DBS) , University of Southern Denmark, Kolding. Since 2010 he has combined rigorous scholarship with more than a decade of practical experience in banking and consultancy, focusing on customer-oriented employees who must balance sales targets with high-quality advisory relationships. Education & Career Path: 2023–present: Teaching Associate Professor, SDU 2019–2023: Assistant Professor, SDU 2015–2019: Post-Doc, SDU 2010–2015: Teaching Associate Professor, SDU 2005–2010: Key Account Manager, Nykredit A/S 2003–2005: Project & IT Consultant, Kolding Development Council Earlier roles in furniture manufacturing and industrial traineeships Research Interests: His research agenda revolves around talented customer-facing professionals —bankers, accountants, consultants, lawyers, engineers, insurance agents, architects—who navigate the dual demands of sales and advisory work. Drawing on Talent Management theory, role-stress research, sales & marketing scholarship, advisory theory, and coaching frameworks , he investigates: Characteristics of high-performing sales-advisers Recruitment, retention, and development of such talents Stressors arising from conflicting role expectations Quality criteria for advisory encounters and sales coaching Facilitation techniques that secure long-term, economically sustainable client relationships Publication Trends: Across 31 peer-reviewed outputs (2012-2024), Raalskov’s work clusters into three streams: (1) organizational ambidexterity and entrepreneurial orientation in SMEs ; (2) role stress and emotional well-being of frontline professionals , especially in banking and advisory services; and (3) conceptual and practical models for professional sales-advisory integration . His 2024 Entrepreneurship & Regional Development article exemplifies the first stream, while the 2023 chapter on home-work stress typifies the second. Books, monographs, and conference proceedings further extend his impact into practitioner and policy arenas. Scientific & Societal Engagement: 55 recorded activities including conference organization, invited talks to banks and public bodies, and workshop leadership Media commentary (e.g., Den finansielle rådgivning skal styrkes , 2021) Active dissemination through lectures, executive workshops, and advisory projects for SMEs Teaching & Supervision: Raalskov teaches or has taught courses in Business Facilitation, Advanced Business Facilitation, Bank Risk Management, Financial Products & Services, and master thesis supervision, demonstrating a commitment to bridging theory and practice for both graduate and executive audiences. Labs & Teams: While no formal lab designation is provided, his collaboration network spans SDU’s Department of Business and Sustainability, CESFO research centre, and external partners in Denmark’s banking and SME sectors, fostering a living laboratory for studying customer-oriented talent in real-world settings.

Brice Maxime Hugues Ozenneمشاهده پروفایل

دانشیار

• Biostatistics
• Statistical Modeling
• Repeated Measurements Analysis
• +۶ مورد دیگر

Brice Maxime Hugues Ozenne is an Associate Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen's Faculty of Health and Medical Sciences. He holds a shared position between the Section of Biostatistics at the University of Copenhagen and the Neurobiology Research Unit at Rigshospitalet. His work spans methodological research, software development for R, statistical consultations, and teaching. Dr. Ozenne's educational background includes: Ph.D. in Biostatistics from University Lyon 1, Lyon, France (2012-2015) with thesis on "Statistical modelling for the prognosis of stroke patients" Master's Degree in Biostatistics from University Lyon (2011-2012), completed as a double degree with École Centrale de Lyon Engineering Diploma from École Centrale de Lyon (2009-2012) Course in teaching and learning in higher education from UNIVERSITETPÆDAGOGIKUM (2022-2023) His primary research interests focus on statistical models for handling repeated measurements that arise in medical images, psychological questionnaires, and longitudinal studies. He specializes in developing Latent Variable Models and mixed models for neuro-imaging data, with particular attention to small sample size issues and multiple testing corrections. Additionally, he develops methods for assessing treatment effects in registry data, accounting for confounding, right-censoring, competing risks, and time-varying effects. His side projects include benefit-risk assessment using Generalized Pairwise Comparisons and planning/analyzing sequential trials with pipeline data. Dr. Ozenne's research output demonstrates strong interdisciplinary collaboration, particularly in neuroscience, psychiatry, and clinical research. His work frequently addresses methodological challenges in neuroimaging studies, antidepressant treatment evaluation, and registry-based epidemiological research. Recent publications show a consistent focus on serotonin receptor binding, treatment effects in depression, and advanced statistical methodologies for complex data structures. His scientific contributions have garnered significant attention, with publications picked up by 55 news outlets, blogged by 3 sources, reddited by 1 user, and referenced across various social media platforms including X (Twitter) and Bluesky. As an educator, Dr. Ozenne teaches: Ph.D. courses: Statistical analysis of repeated measurements and clustered data; Epidemiological methods in medical research (as course leader); Basic statistics MSc courses: Survival analysis for students in Statistics and Mathematics-Economics He previously served as a Post-Doc in biostatistics (2015-2020) with a shared position between the University of Copenhagen (researcher and teacher at the Graduate School of Health and Medical Sciences) and Copenhagen University Hospital (consultant and leader of the data analysis workpackage of the Neuropharm project). Dr. Ozenne's work is supported in part by a grant from Novo Nordisk A/S, which covers part of his salary during July 2025 - December 2026.

Thomas Ritterمشاهده پروفایل

استاد

• Commercial competence
• Market strategies
• Customer insight and segmentation
• +۴ مورد دیگر

Thomas Ritter serves as Professor of Market Strategy and Business Development within the Department of Strategy and Innovation at Copenhagen Business School. His research centers on commercial competence—examining how firms generate profits through customer-centric approaches across operational execution and executive leadership levels. Ritter's work spans Commercial competence, Market strategies, Customer insight and segmentation, Customer relationship management, Customer value modelling, Business development, and Social media. He investigates theoretical foundations and practical applications in business-to-business contexts, with emphasis on value creation mechanisms, segmentation validity, and digital transformation impacts on organizational strategy. Recent publications (2024-2025) reveal strong trends in AI-driven digitalization, B2B ecosystem evolution, and strategic renewal through project-based frameworks. Key thematic developments include digital authenticity in marketing, engagement ambidexterity, customer portfolio optimization, and the transition from traditional buying centers to complex buying ecosystems. Ritter directs multiple research initiatives including MADE – Platform for Future Production, Driving Competitiveness through Servitization, From Big Data to Big Business (BDBB), Servitize.dk, Datadreven kundeindsigt, and Beyond Experimentation: AI-Driven Business Model Innovations in the Maritime Industry. He also provides executive education and management consulting through Commit-Consult and Thomas Ritter Aps while serving on boards for Weilbach AS (2018-2020) and Visionsoftware (2022-2023).

• Obstetrics
• Gynecology
• Maternal Health
• +۳ مورد دیگر

Betina Ristorp Andersen serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences, specializing in Obstetrics and Gynaecology. Her clinical work is affiliated with Copenhagen University Hospital (Region Hovedstaden) as indicated by her email domain. Her research focuses on critical aspects of obstetric care including emergency cesarean sections, maternal mortality reduction, and innovative applications of machine learning in perinatal medicine. Recent work examines fetal extraction complications, postoperative infections, and labor induction protocols with particular attention to quality improvement and patient safety metrics. Her publication trends reveal strong emphasis on registry-based cohort studies analyzing real-world clinical outcomes in Danish healthcare settings. Key thematic areas include cesarean section safety protocols, antibiotic timing, maternal mortality trends, and competency frameworks in medical education. She maintains active collaborations with Copenhagen University Hospital researchers and participates in European medical education initiatives as evidenced by her co-authorship on the European framework for generic competencies. Dr. Andersen's research demonstrates significant impact through multiple news pickups, social media engagement, and substantial academic readership (over 100 Mendeley readers for key publications), particularly for work on machine learning applications in emergency obstetrics and maternal mortality reduction.

• Vascular Surgery
• Endovascular Surgery
• Cardiovascular Medicine
• +۳ مورد دیگر

Lorenz Christoph Meuli serves as a Visiting Assistant Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. His research focuses on advancing vascular and endovascular surgical techniques, particularly for complex aortic pathologies. Dr. Meuli's primary research interests include Vascular Surgery , Endovascular Repair , and Biostatistical Methodology in clinical outcomes. He investigates innovative approaches to branched endovascular aneurysm repair (BEVAR), antithrombotic management, and risk stratification for abdominal aortic aneurysms. His work bridges clinical practice with advanced statistical modeling to optimize treatment protocols and improve patient safety in aortic interventions. Recent publications (2024-2025) reveal a concentrated research trajectory in endovascular therapy for aortic conditions, with emphasis on methodological rigor in outcomes analysis. Key themes include critical evaluation of retrograde BEVAR approaches, endovascular management of acute dissections, and sophisticated handling of competing risks in time-to-event studies. This dual focus on technical innovation and statistical precision positions his work at the intersection of surgical practice and evidence-based medicine.

Helene Charlotte Wiese Rytgaardمشاهده پروفایل

دانشیار

• Biostatistics
• Causal Inference
• Targeted Machine Learning
• +۴ مورد دیگر

Helene Charlotte Wiese Rytgaard serves as an Associate Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen's Faculty of Health and Medical Sciences. Her research focuses on methodological advancements in causal inference, targeted machine learning, event history analysis, and nonparametric estimation. Her primary research interests center on developing statistical machine learning methods for estimating intervention effects in time-varying settings, with specific applications in medical and epidemiological studies. Key areas include survival analysis, competing risks, target population treatment effects, and cumulative incidence estimation. Her work bridges theoretical statistics with practical applications in public health research. Recent publications demonstrate consistent contributions to biostatistical methodology, particularly in targeted maximum likelihood estimation and causal inference frameworks. Her research output shows strong collaboration patterns across epidemiology, psychiatry, and cardiovascular medicine, with significant emphasis on real-world data applications and methodological innovations for complex time-to-event data. Rytgaard maintains active research collaborations across international networks, as evidenced by her extensive co-authorship patterns in high-impact journals. Her work frequently addresses challenges in medical research design and analysis, particularly in observational studies and clinical trials requiring sophisticated statistical approaches.

• Survival analyses
• Statistical genetics
• Time-to-event data
• +۴ مورد دیگر

Thomas Scheike is a Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen. He holds a Dr. Scient degree from 2002 and a PhD from 1993, with an ORCID identifier of 0000-0002-2148-4740. His research expertise includes: Survival analyses and time-to-event data methodology Statistical genetics applied to twin and family studies Competing risks data analysis Dependence structures in multivariate event history data Professor Scheike has developed significant statistical software for R, including the Timereg package for survival analysis and the Mets package for multivariate polygenetic modeling. He teaches courses primarily for medical PhD students in survival analysis, statistical software applications, medical statistics, and methods for twin and family studies, as well as specialized courses for statistics PhD students. His recent publications (2025) demonstrate the broad application of his biostatistical methods across cardiology, psychiatry, gastroenterology, neurology, and environmental health fields. These works often involve large-scale cohort studies and twin research designs, showcasing his methodological innovations in analyzing complex longitudinal data. Professor Scheike maintains an active research profile with substantial contributions to biostatistical methodology, particularly in the analysis of survival data with applications across diverse medical disciplines.