جست‌وجوی استاد و پژوهشگر

• Organizational Behavior
• Leadership
• Entrepreneurship
• +۱۰ مورد دیگر

Dr. Ye Li is a Lecturer in the Department of Business Management at the University of Aberdeen Business School, where he joined in February 2025. He holds a PhD in Management from Guanghua School of Management, Peking University, and was previously an Assistant Professor (Research) at Nanjing University. His academic journey includes a visiting scholar position at Columbia Business School through the Chazen Institute. PhD in Management, Guanghua School of Management, Peking University Visiting Scholar, Columbia Business School, Columbia University Assistant Professor (Research), Nanjing University Lecturer, University of Aberdeen Business School (2025–present) Trained in Social Psychology and Organizational Behavior, Dr. Li's research adopts an integrative, multilevel approach to explore leadership, entrepreneurship, ethics, and career development. His work combines quantitative methods—such as surveys, experiments, and secondary data analysis—with qualitative techniques including interviews and case studies. He focuses on the paradoxical effects of leadership styles, ethical decision-making, entrepreneurial mindsets, and career transitions in both regular and crisis contexts. Although no publications are listed in the provided text, Dr. Li’s research agenda is highly active and interdisciplinary, supported by multiple competitive grants. His work spans organizational psychology, management theory, and behavioral ethics, with a strong emphasis on methodological rigor and narrative coherence in academic writing. Dr. Li has received several honors, including: Peking University Excellent Graduate Chazen Institute Visiting Scholar at Columbia Business School DuXia Teaching Excellence Award, Nanjing University Excellent Class Mentorship, Nanjing University High-level Innovative and Entrepreneurial Talents Award, Jiangsu Province He has been Principal or Co-Investigator on multiple funded research projects from the National Natural Science Foundation of China, Ministry of Education, and National Social Science Foundation. These grants support his investigations into perspective-taking, servant leadership, ethical voice, and entrepreneurial leadership. Dr. Li is actively accepting PhD students in Business Management and encourages collaborations with international scholars and students on funding applications and paper development. He teaches courses such as Organizational Behavior, International Leadership, and Principles of Management in both English and bilingual formats. While no specific lab or research team is named, Dr. Li is affiliated with the Business School’s research ecosystem at Aberdeen and has contributed to centers and thematic research areas such as sustainability and organizational ethics. His interdisciplinary orientation and methodological versatility position him as a collaborative and dynamic academic presence.

Stefan Kragh Nielsenمشاهده پروفایل

استاد

• Plasma Physics
• Fusion Energy
• Collective Thomson Scattering
• +۷ مورد دیگر

Stefan Kragh Nielsen is a Professor and Section Leader in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is actively involved in experimental and theoretical research related to fusion plasma diagnostics, particularly collective Thomson scattering and microwave-based measurements in tokamak devices such as ASDEX Upgrade and Wendelstein 7-X. His research interests include: Plasma Physics and Fusion Energy Collective Thomson Scattering Fast Ion Dynamics Electron Cyclotron Resonance Heating Parametric Instabilities Microwave Diagnostics The recent publications highlight a strong focus on advanced diagnostics, nonlinear wave interactions, and fast ion behavior in fusion plasmas. His work spans theoretical modeling, experimental validation, and instrumentation development, particularly in high-frequency microwave systems for continuous plasma monitoring. Trends show increasing emphasis on reduced modeling techniques and real-time diagnostic capabilities for next-generation fusion reactors. Scientific contributions include: Development of ultrafast digitizers for microwave diagnostics Commissioning of 174 GHz CTS systems at W7-X Modeling of metaplectic geometrical optics for plasma waves Investigation of parametric decay in gyrotron beams He actively supervises multiple PhD students on topics such as non-linear processes in electron Bernstein wave heating, ion dynamics via CTS, and parametric decay instabilities in spherical tokamaks. His projects are well-funded and aligned with international fusion research goals. He has collaborated extensively with major fusion facilities including ASDEX Upgrade, Wendelstein 7-X, and JET. No formal awards are listed in the provided text. He leads a research team focused on advancing plasma diagnostic capabilities for future fusion reactors.

Alexander Kurapovمشاهده پروفایل

استاد مدعو

• Ocean Modeling
• Data Assimilation
• Coastal Oceanography
• +۷ مورد دیگر

Alexander Kurapov holds a Courtesy Appointment at Oregon State University within the College of Earth, Ocean, and Atmospheric Sciences, Department of Oceanography. He is actively engaged in research involving ocean modeling and data assimilation, with a focus on coastal and shelf processes along the U.S. West Coast and the Bering Sea. His research interests span oceanic data assimilation, coastal ocean modeling, wind-driven circulation, internal tides, shelf mixing, and nearshore flows. These areas are central to understanding coastal dynamics, climate variability, and improving ocean forecasting systems. The recent publications highlight a strong trend in high-resolution numerical modeling, variational and ensemble data assimilation techniques, and analysis of coastal and shelf-scale processes. Topics include internal tide dynamics, sea level variability, glider data integration, and wave-current interactions, primarily in the Pacific Northwest and Bering Sea regions. The work demonstrates consistent application of advanced modeling frameworks to real-world oceanographic problems. Alexander Kurapov has collaborated extensively with leading oceanographers at Oregon State University and beyond, contributing to major projects such as the US Integrated Ocean Observing System (IOOS). While no formal awards are listed, his body of work reflects significant contributions to coastal ocean science. He has advised or collaborated with numerous researchers, though specific students are not named. His work often involves model development, observational integration, and participation in multi-institutional efforts. Kurapov’s research is supported through collaborative grants and institutional resources, though specific funding sources are not detailed in the text. His work is closely tied to modeling teams at Oregon State University, particularly those involved in coastal ocean forecasting, data assimilation, and nearshore dynamics. He contributes to systems like the West Coast Ocean Forecast System (WCOFS) and participates in regional observational-modeling initiatives.

Filippo Tassinariمشاهده پروفایل

پژوهشگر

• Urban Economics
• Transport Economics
• Regional Economics
• +۵ مورد دیگر

Filippo Tassinari is a post-doctoral researcher in the Department of Economics at Universitat Pompeu Fabra (UPF), affiliated with the Barcelona School of Economics (BSE) and the Institut d'Economia de Barcelona (IEB). His work bridges urban and transport economics with applied policy analysis. Research Interests: Filippo is an applied economist with a strong focus on urban and transport economics. He leverages spatial data and mapping techniques to study the distribution and consequences of negative externalities in cities. His research explores themes such as urban mobility, sustainable transport systems, and the impact of innovative green policies—particularly evidenced by his work on Barcelona’s superblocks initiative. He is passionate about how urban design influences both environmental outcomes and political behavior. Publication Trends: His recent work centers on evaluating real-world urban interventions using empirical methods. The analysis of Barcelona’s car-free zones demonstrates a trend toward policy-relevant research that combines urban economics, environmental sustainability, and political economy, often using spatial and quasi-experimental designs. Affiliations: Department of Economics, Universitat Pompeu Fabra (UPF) Barcelona School of Economics (BSE) Institut d'Economia de Barcelona (IEB) Advising and Grants: While no formal students or grant funding are mentioned in the provided texts, his affiliation with prestigious research institutions suggests active participation in collaborative projects and potential mentorship within the post-doctoral and PhD community at UPF and BSE. Labs and Research Teams: Filippo is associated with the IEB (Institut d'Economia de Barcelona), where he contributes to research in urban and environmental economics. His work aligns with teams focused on cities, sustainability, and public policy, particularly those analyzing innovative urban mobility solutions.

Rhodri Ivor Lengمشاهده پروفایل

مدرس

• Sociology of Science
• Scientometrics
• Metascience
• +۴ مورد دیگر

Rhodri Leng is a Lecturer in Science and Technology Studies at the University of Edinburgh's School of Social and Political Science, where he has been employed since January 2024. His academic journey includes a PhD and MSc(R) in Science and Technology Studies from Edinburgh, an MA in Political and Legal Theory from the University of York, and an MA in Politics from the University of Glasgow. Research Focus: Leng specializes in the sociology of scientific development, examining how scientific knowledge spreads, influences opinion, and evolves within communities. His mixed-method approach combines computational techniques like citation network analysis and text mining to study: Dynamics of scientific literature and citation practices Detection of citation bias and distortion Integration of computational methods in scientific reviews Research integrity and impact assessment His work spans biomedical, astrophysics, and policy domains. Publications: Leng's 13 most recent journal articles (2018-2024) demonstrate consistent focus on scientometrics, genomics, neuroscience, and policy studies. Key themes include citation network analysis (10 papers), scientific controversies (5 papers), and computational methods in humanities (8 papers), with increasing attention to metascience and research evaluation in recent years. Awards & Honors: ESRC Postdoctoral Fellowship (2020-2021) ESRC Advanced Quantitative Methods PhD Studentship (2016-2019) EUSA Teaching Award for 'Best Student Who Tutors' (2019) Supervision & Grants: He welcomes PhD/Master's students interested in science policy, field development, or evidence-use practices. Previously secured ESRC funding for projects on selective citation analysis. Developed online courses in systematic literature review and network analysis for biomedical/social sciences. Professional Background: Before academia, Leng worked in UK politics as parliamentary/policy officer. From 2021-2024, he conducted industry research at Baillie Gifford, focusing on sociotechnical transitions and scientific mapping for investment strategies.

• Substance misuse prevention
• Polysubstance use
• Alcohol epidemiology
• +۷ مورد دیگر

Dr. Gary C.K. Chan is an NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research within the School of Psychology at the University of Queensland. As a statistical advisor, he provides methodological guidance to academic staff and research higher degree students. His collaborative work spans major international research institutions including the University of Washington, Murdoch Children's Research Institute, University of Melbourne, and University College London, with significant policy impact through consultation with the United Nations Office of Drugs and Crime. Dr. Chan's principal research focuses on substance misuse prevention and advanced statistical methods for longitudinal analysis. His work examines polysubstance use patterns (particularly alcohol, tobacco, and cannabis) among adolescent populations, urban-rural disparities in substance use, and the epidemiology of various substances. He applies sophisticated statistical modeling to understand complex relationships between substance use, mental health, and sociodemographic factors, with particular attention to methodological innovations in addiction research. Dr. Chan's prolific publication record demonstrates a strong focus on contemporary substance use issues, particularly cannabis and vaping trends among youth. His research employs diverse methodologies including longitudinal analysis, systematic reviews, and wastewater-based epidemiology. There's a clear emphasis on policy-relevant research that examines the impact of regulatory changes on substance use patterns, with significant contributions to understanding cannabis use for medicinal purposes and the relationship between social media exposure and substance use behaviors. Scientific Awards: NHMRC Emerging Leadership Fellowship As a statistical advisor at the School of Psychology, Dr. Chan provides methodological support to academic staff and research higher degree students. Since 2016, he has conducted advanced statistical workshops on R programming and multilevel modeling. His research is supported through the NHMRC fellowship and numerous collaborations with major national and international institutes that facilitate large-scale epidemiological studies and policy-relevant analyses. Dr. Chan is affiliated with the National Centre for Youth Substance Use Research at the University of Queensland. His collaborative network spans multiple research teams across continents, enabling comprehensive investigations of substance use patterns and their determinants in diverse populations and settings.

Cheneal Puljevicمشاهده پروفایل

پژوهشگر ارشد

• Substance Use Harm Reduction
• Tobacco Control
• Illicit Tobacco Use
• +۷ مورد دیگر

Dr Cheneal Puljevic is a Senior Research Fellow at the School of Public Health, University of Queensland, and an ARC DECRA Fellow at the NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame. She is also affiliated with the Centre for Health Services Research and serves as the Honours Program Director for the Bachelor of Health Sciences. Her research spans multiple institutions and collaborations, including the Global Drug Survey and The Loop Australia. PhD, Griffith Criminology Institute, Griffith University (2018) Bachelor of Psychology (Honours), University of Cape Town (2011) Her research focuses on substance use harm reduction , tobacco control , and public health interventions . She specializes in smoking cessation among marginalized populations, illicit tobacco use, drug checking, and alcohol-fuelled violence. Her work combines qualitative, quantitative, and mixed-methods approaches to evaluate policies and design harm reduction services. Her recent publications (2024–2025) reflect a strong trend in harm reduction innovation , particularly in drug checking and anabolic steroid safety , alongside continued focus on tobacco control and behavioral interventions for substance use. She frequently employs systematic reviews , qualitative studies , and global survey data to inform public health policy. Her scientific awards highlight her excellence in early-career research: ARC DECRA Fellow School of Public Health Top-Performing Level C (2024) School of Public Health Rising Star (2023) School of Public Health Top-Performing Level B (2022) APSAD Early Career Award (2020) UQ Early Career Researcher Grant (2019) Dr Puljevic actively supervises students and contributes to academic leadership as an Associate Editor for the International Journal of Drug Policy and Deputy Editor for Drug and Alcohol Review . She leads research teams in the Global Substance Use and Mental Health unit and collaborates on major projects such as QUANTEM and the Global Drug Survey. Her work bridges research, policy, and community engagement to improve health outcomes for vulnerable populations.

Ralf Kellnerمشاهده پروفایل

استاد

• Economics
• Data Science
• Statistics
• +۲ مورد دیگر

Professor Ralf Kellner holds the Chair of Financial Data Analytics at the University of Passau, Faculty of Economics. His work integrates economics, data science, and statistics, focusing on empirical and application-oriented research to explore how statistical learning and AI can uncover insights in data-driven decision-making processes that generate economic value. He also teaches courses such as Deep Learning and Text Analysis in Finance, Financial Data Analytics and Machine Learning, and Scientific Computing with Python. His research examines the intersection of financial markets, statistical learning, and artificial intelligence, with specific interests in modeling adverse financial developments, systemic risks, and analyzing text data via domain-specific language models. Publications highlight collaborations with researchers like D. Rösch and N. Gatzert. Recent publications include work on hybrid service agents, quantile neural networks, default resolution time analysis, Bayesian sovereign bond risk models, and international diversification studies. His methodological approaches span extreme value theory, quantile regression, and multivariate statistical techniques applied to financial and insurance contexts. Contact: ralf.kellner@uni-passau.de

Olusegun Michael Otunugaمشاهده پروفایل

استادیار

• Stochastic Modeling
• Mathematical Epidemiology
• Biostatistics
• +۷ مورد دیگر

Olusegun Michael Otunuga is an Assistant Professor in the Department of Mathematics at the College of Science and Mathematics and the Department of Population Health Science: Division of Biostatistics and Data Science at Augusta University. He holds a Ph.D. in Pure & Applied Mathematics from the University of South Florida and has been actively contributing to interdisciplinary research in stochastic modeling, epidemiology, biostatistics, and financial mathematics. Ph.D., Pure & Applied Mathematics, University of South Florida, 2014 M.S., Mathematics, Marshall University, 2009 B.Sc., Mathematics, Federal University of Agriculture, Nigeria, 2006 Dr. Otunuga's research focuses on the development and analysis of stochastic models to understand complex systems in biology, medicine, and economics. His work spans tumor growth dynamics under environmental stress, multi-strain epidemic modeling (including HIV, TB, measles, and COVID-19), vaccine breakthrough infections, and financial time series forecasting. He employs advanced techniques such as stochastic differential equations, parameter estimation, and first-passage-time analysis. The recent publications highlight a strong trend in applying mathematical rigor to public health challenges, particularly in modeling infectious disease spread with stochastic realism. His work bridges theoretical mathematics with practical applications in biostatistics and data science, often involving real-world data from U.S. states and global health contexts. The integration of time-varying parameters and random perturbations enhances model accuracy and predictive power. Scientific Awards: Excellence in Research Award, College of Science and Mathematics, Augusta University, 2024 Dr. Otunuga actively mentors students and serves as a faculty advisor for Pi Mu Epsilon and Goldwater Scholarship candidates. He has not received mention of specific grants in the provided text, but his sustained publication record and patent suggest active research funding. He contributes extensively to academic service through multiple committees at the department, college, and university levels, and has served as a reviewer for scholarly journals. He is involved in research teams and workshops such as the POPUPS Workshop at Augusta University, where he leads training on biostatistics and data analysis using R. His collaborative work includes joint research with the Ladde research group, culminating in a patented method for dynamic process modeling.

Marianna Nicolosi Asmundoمشاهده پروفایل

دانشیار

• Mathematical Logic
• Automatic Deduction
• Description Logic
• +۷ مورد دیگر

Marianna Nicolosi Asmundo is an Associate Professor of Mathematical Logic (MAT/01) at the Department of Mathematics and Computer Science (DMI) of the University of Catania. She earned her PhD from the same university in 2003 and serves as a proposing member of CINUM - Interdepartmental Center for Humanistic Computing. Teaches undergraduate and graduate programs in Mathematics Master's Degree Programs in Computer Science Textual Sciences for Digital Professions (Department of Humanities) Her research spans automatic deduction, tableaux-based deductive systems, decision procedures in elementary set theory and non-classical logic, interactive theorem proving, knowledge bases, ontologies, and reasoning services for the semantic web. Recent publications emphasize ontology interoperability, blockchain-based knowledge representation, and set-theoretic reasoning frameworks. She contributes to ontologies for cultural heritage (Saint Gall monastery modeling, archaeological Sicilian landscapes) and blockchain applications. Collaborates extensively with researchers like D. Cantone and D.F. Santamaria on description logic systems. Active member of CINUM - Interdepartmental Center for Humanistic Computing Supervises thesis projects on semantic web and blockchain ontologies

• artificial intelligence
• image analysis
• deep learning
• +۸ مورد دیگر

Natasa Sladoje is a Professor in Computerized Image Analysis at the Department of Information Technology, Uppsala University. She is affiliated with the Vi3 and Image Analysis research group and leads the MIDA research group. Her work spans artificial intelligence, biomedical image analysis, deep learning, and algorithm development, with applications in medical imaging and life sciences. Her research focuses on developing advanced image analysis methods, particularly using machine and deep learning, to enable automated analysis of image data in science and everyday life. Key areas include medical image analysis, image registration, segmentation, pattern recognition, and discrete geometry. She applies these techniques to critical domains such as oral cancer detection, cytology, and multimodal imaging. The recent publications highlight a strong trend in AI-driven medical diagnostics, particularly in cancer detection using whole slide images, self-supervised learning for sparse instance detection, and contrastive learning for multimodal image registration. Her work also emphasizes reproducibility and benchmarking in bioimage analysis through frameworks like BIAFLOWS and public datasets like HISTOBREAST. She has no listed scientific awards in the provided text. Natasa Sladoje supervises research within the MIDA group and collaborates extensively on projects involving bioimage analysis, deep learning, and medical applications. While specific grant details are not mentioned, her leadership in collaborative frameworks and publication output suggests active involvement in funded research initiatives. She leads the MIDA (Medical Image Analysis) research group, which focuses on developing and applying novel image analysis tools for biomedical applications, particularly in cancer diagnostics and multimodal imaging.

Daniel Hardtمشاهده پروفایل

دانشیار

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۴ مورد دیگر

Daniel Hardt serves as Associate Professor in the Department of Management, Society and Communication at Copenhagen Business School. His interdisciplinary research bridges computational linguistics, artificial intelligence, and social analysis, with particular focus on natural language processing applications and theoretical linguistic phenomena. His primary research domains include Computational Linguistics (specializing in ellipsis resolution and sluicing phenomena), Natural Language Processing (developing methods for psychographic classification and sentiment analysis), and Artificial Intelligence (examining large language model capabilities and limitations). Recent work analyzes travel behavior during crises, gender effects in evaluations, and GDPR policy comprehension through NLP techniques. His publications span top venues including Linguistic Inquiry , Tourism Management , and ACL proceedings. Hardt actively engages with practical business applications through 27 media contributions discussing AI implementation, ChatGPT transparency, and data-driven leadership strategies. His academic service includes organizing events like the 2019 "Fake News" conference at CBS and presenting at international venues including JSAI 2024. With 28 supervised academic works documented, he maintains substantial mentoring activity while contributing to public discourse on digital transformation challenges.

• Genomics
• Non-coding RNA research
• Phenotype-genotype relationships
• +۷ مورد دیگر

Professor Marcel Dinger is a prominent academic and researcher currently serving as Professor and Head of School for Biotechnology and Biomolecular Sciences at UNSW Sydney. With over 20 years of experience in genomics, he has established himself as a leading figure in both academic and entrepreneurial spheres within the field. He has published 153 papers with over 24,000 citations and maintains an h-index of 61 on Google Scholar. His leadership extends beyond academia as he serves as President of the Australasian Genomics Technologies Association (AGTA) and holds director positions at Pryzm Health and the National Centre for Indigenous Genomics (NCIG). Professor Dinger's research laboratory focuses on establishing new links between phenotype and genotype, particularly examining rare and complex diseases in relation to underexplored regions of the genome including pseudogenes, repetitive elements, non-canonical DNA structures, and noncoding RNAs. His work harnesses population-scale genomic datasets and sophisticated data science methods to bring an objective perspective to understanding how the genome stores information and how it is transacted in biology. His research interests span genomics, non-coding RNA biology, clinical applications of genomic medicine, and the development of computational approaches for analyzing complex genomic data. Analysis of Professor Dinger's recent publications reveals a strong emphasis on non-coding RNA research, particularly long noncoding RNAs and their roles in disease mechanisms. His work spans cancer genomics, neurological disorders, and fundamental genomic mechanisms including DNA secondary structures like i-motifs and G-quadruplexes. His research combines experimental approaches with advanced bioinformatics to address fundamental questions in genomic medicine and has significant translational implications for disease diagnosis and treatment. Highly Cited Researcher in Cross-Field category (2019, 2020, 2021) Fellow of the Faculty of Science (Research), Royal Society of Pathologists of Australasia (2016) NHMRC Career Development Award (2010) Queensland Government Smart Futures Fellowship (2009) Foundation of Research, Science and Technology New Zealand Postdoctoral Fellowship (2005) Professor Dinger has been instrumental in establishing and leading several significant research initiatives including Genome.One, one of the first companies globally to provide clinical whole genome sequencing services, and the Kinghorn Centre for Clinical Genomics at the Garvan Institute of Medical Research. His entrepreneurial experience includes founding four biotechnology and IT startups. He serves on multiple governance boards including the National Centre for Indigenous Genomics, focusing on using genomics to improve health outcomes for Australia's First Peoples. His laboratory at UNSW continues to advance our understanding of genomic regulation and its implications for human health and disease.

Gideon Naveمشاهده پروفایل

دانشیار

• Consumer Neuroscience
• Marketing
• Decision-making
• +۷ مورد دیگر

Gideon Nave is the Carlos and Rosa de la Cruz Associate Professor of Marketing at The Wharton School, University of Pennsylvania. He holds a prominent position within the Department of Marketing and contributes significantly to the school's research and teaching missions in consumer behavior, marketing analytics, and decision sciences. His academic journey began with B.Sc and M.Sc degrees in Electrical Engineering from the Technion – Israel Institute of Technology, specializing in Signal Processing. He then pursued and earned his PhD in Computation & Neural Systems from the California Institute of Technology (Caltech), establishing the interdisciplinary foundation for his current research program. Nave's research focuses on how technological developments in measurement instruments have granted unprecedented access to individual-level data. His work spans several interconnected domains: Consumer neuroscience and neuroeconomics Applications of genetic data in marketing AI's impact on creativity and consumer research Ethical implications of new data collection technologies Decision-making processes across various contexts He investigates how digital footprints of online behavior, MRI, genotyping, and hormonal assays can help understand consumer preferences and behavior, while critically evaluating the ethical challenges these technologies present. His publication record demonstrates a clear trajectory toward understanding the intersection of emerging technologies and consumer behavior. Recent work particularly emphasizes AI applications in marketing research, genetic data utilization for personalization, and neuroscientific approaches to understanding decision-making processes. His methodological approach often combines large-scale datasets with rigorous experimental designs, contributing significantly to both theoretical advancement and practical applications in marketing. Nave's contributions to the field have been recognized with several prestigious awards: National Science Foundation Faculty Early Career Development (CAREER) Award (2020-2025) Association For Consumer Research (ACR) Early Career Award (2024-2025) APS Rising Star Award (2020) Poets & Quants Selection as one of the "World's Best 40 B-School Professors under the Age of 40" (2021) As a recipient of the NSF CAREER Award, Nave leads significant research initiatives examining the applications and ethical implications of new measurement technologies in marketing and consumer behavior. His work has attracted considerable media attention, with features in major outlets including The New York Times, The Guardian, CNN, and The Economist, reflecting the broad relevance and impact of his research. While specific lab names aren't prominently featured in his public profile, Nave's research appears to involve extensive interdisciplinary collaborations spanning neuroscience, genetics, computer science, and marketing. His publications frequently include co-authors from diverse disciplinary backgrounds, suggesting a team-based research approach that bridges traditional academic boundaries.

Attila Kumanovicsمشاهده پروفایل

استاد بالینی

• Molecular genetic pathology
• Immunology
• Primary immunodeficiency diseases
• +۵ مورد دیگر

Attila Kumanovics, M.D., is a Clinical Professor in the Department of Laboratory Medicine and Pathology at Mayo Clinic in Rochester, Minnesota, USA. A board-certified clinical pathologist (American Board of Pathology, 2011) and molecular genetic pathologist (American Board of Pathology, 2012), he focuses on molecular and cellular immunology testing and the diagnosis of inborn errors of immunity. Education & Certifications Board Certification – Molecular Genetic Pathology, American Board of Pathology, 2012 Board Certification – Clinical Pathology, American Board of Pathology, 2011 M.D. (institution & year not specified in text) Research Focus Dr. Kumanovics’ research integrates cutting-edge molecular genetic techniques with clinical immunology to uncover the genetic underpinnings of primary immunodeficiency diseases. His work spans: Molecular Genetic Pathology: Development and validation of next-generation sequencing assays for HLA typing and immunodeficiency gene panels. Primary Immunodeficiencies: Identification and characterization of novel monogenic defects affecting immune cell development and function. Diagnostic Immunology: Optimization of flow-cytometric and functional assays for immune cell subset analysis and autoantibody detection. Publication Impact With 61 peer-reviewed publications from 1995 to 2025, Dr. Kumanovics has produced an influential body of work that advances both basic understanding and clinical practice. Landmark papers include the 2024 Science Advances study on ITPR3 variants, multi-author reviews on primary immunodeficiency diagnostic guidelines, and technical articles on next-generation HLA typing and flow cytometry. His research trajectory illustrates a steady evolution from foundational immunology and mouse models toward high-resolution genomic diagnostics and international consensus guidelines. Scientific Awards & Recognition Board Certification – Molecular Genetic Pathology, American Board of Pathology (2012) Board Certification – Clinical Pathology, American Board of Pathology (2011) Active contributor to American Academy of Allergy, Asthma & Immunology working groups Collaborations & Teams Dr. Kumanovics collaborates extensively within Mayo Clinic’s Department of Laboratory Medicine and Pathology, serving as a key resource for molecular genetic pathology consultations. He participates in multi-institutional consortia such as the Primary Immunodeficiency Diseases Committee of the American Academy of Allergy, Asthma & Immunology, co-authoring diagnostic frameworks that are used worldwide. Details of specific laboratories or grant funding were not disclosed in the provided text.