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Fabrice GuillaumeView profile

Professor

• Memory
• Cognitive Psychology
• Electrophysiology
• +7 more

Fabrice Guillaume is a Professor at the Laboratory of Cognitive Psychology (LPC) affiliated with Aix Marseille University and the Centre National de la Recherche Scientifique (CNRS). His research focuses on fundamental memory processes and their clinical applications, particularly in schizophrenia and cognitive disorders. He leads research within the MeMoPsy Technology platform, investigating memory through multiple approaches including electrophysiology and psychophysics. Dr. Guillaume's research interests span multiple domains within cognitive psychology and clinical neuroscience. His work primarily investigates memory systems, with specific emphasis on face recognition, false memories, mental imagery, and the neural correlates of memory processes. He employs electrophysiological methods (ERP) to examine the temporal dynamics of memory encoding and retrieval, particularly how contextual information influences recognition. His schizophrenia research explores the dissociation between different memory processes and how they are affected in psychotic disorders. Analysis of his recent publications reveals a consistent focus on the intersection of memory, perception, and clinical disorders. His work demonstrates how memory processes interact with perceptual information during object and face recognition. A significant portion of his research examines schizophrenia, particularly how memory deficits manifest in this condition and what they reveal about normal memory functioning. His methodological approach combines behavioral measures with electrophysiological recordings to provide a comprehensive understanding of memory processes. Dr. Guillaume has established strong collaborative networks across multiple institutions, working with researchers from Université de Lyon, École normale supérieure de Lyon, and Université de Montréal. His work bridges basic cognitive research with clinical applications, particularly in developing diagnostic and remediation tools for memory disorders.

• Cognitive Psychology
• Psychological Research Methodology
• Applications of Mathematics in Psychology
• +7 more

Dr. Borysław Paulewicz is an Assistant Professor in the Department of Experimental Psychology at Jagiellonian University's Faculty of Philosophy. Previously taught cognitive psychology and psychometrics at SWPS University for a decade. His work bridges cognitive psychology, mathematical methodology, and meta-theoretical foundations of psychology, with a focus on metacognition and causal inference. Current affiliations: Jagiellonian University, Faculty of Philosophy, Department of Experimental Psychology Past affiliations: SWPS University of Social Sciences and Humanities Research Interests: Specializing in causal/Bayesian inference applications, development of hierarchical generalized linear models, and formal definitions of measurement invariance. His projects explore metacognition, consciousness, and placebo mechanisms through National Science Centre grants (MAESTRO, HARMONIA, SONATA BIS/SONATA programs). Academic Contributions: Created R libraries for psychometric models, formulated causal-theoretical measurement frameworks, and authored a GitHub-hosted book on mathematics for psychologists. Published extensively in metacognition, signal detection theory, and causal modeling. Projects: Key investigator in studies on pain unlearning, metacognitive mechanisms, and cognitive control. Collaborated with Agata Blaut on emotional disorder biases, Michał Wierzchoń on consciousness, and Marta Siedlecka on metacognition.

• Biostatistics
• Medical Research
• Econometrics
• +4 more

Haekyung Jeon-Slaughter, Ph.D. is an Associate Professor in the Department of Internal Medicine at the University of Texas Southwestern Medical Center and a member of the Division of Hematology and Oncology. She also serves as the Section Chief and Statistician for Research and Analytics at the VA North Texas Health Care System, where she applies her expertise in biostatistics and econometrics to medical research. Dr. Jeon-Slaughter earned her bachelor's degree and a master's degree in international economics at Seoul National University in South Korea. She then earned an additional master's degree in economics at the State University of New York in Buffalo. She completed her postdoctoral degree at Cornell University in Ithaca. Dr. Jeon-Slaughter's research focuses on an interdisciplinary approach to medical research applying both statistics and econometrics. Her research interests encompass the cost-effectiveness of endovascular intervention, gender-based cardiovascular outcomes, and cigarette smoking's effect on treatment outcomes. Her work spans multiple disciplines including cardiology, psychiatry, neuroscience, and substance abuse research, demonstrating her ability to apply statistical methods across diverse medical fields. Her research often examines the intersection of economic factors and medical outcomes, particularly in the areas of medication adherence and treatment effectiveness. Dr. Jeon-Slaughter has published numerous articles in high-impact journals across multiple medical disciplines. Her publication record shows a strong trend toward applying statistical and econometric methods to understand complex medical phenomena, with particular focus areas in cardiovascular interventions, psychiatric conditions, substance use disorders, and neuroimaging studies. Her research demonstrates a consistent interdisciplinary approach that bridges economics, statistics, and clinical medicine.

• Nonparametric predictive inference
• Nonparametric statistics
• Modeling dependence
• +3 more

Professor Tahani Coolen-Maturi is a faculty member in the Department of Mathematical Sciences at Durham University and Fellow of the Durham Research Methods Centre. Her research focuses on advanced statistical methodologies with applications across multiple domains. Her primary research interests include: Nonparametric predictive inference and statistics Reliability and survival analysis using survival signatures Diagnostic accuracy and ROC analysis Modeling dependence structures Uncertainty quantification through imprecise probability Statistical reproducibility frameworks Analysis of her recent publications reveals a strong trend toward statistical reproducibility research, particularly in hypothesis testing and educational trial methodologies. Her work bridges theoretical statistics with practical applications in reliability engineering, medical diagnostics, and educational assessment. A significant portion of her recent output develops nonparametric predictive inference frameworks for complex systems and censored data. Professor Coolen-Maturi actively supervises doctoral students, with ten current supervisees including Azza Alzahrani, Fatemah Alammar, and Hadeer Ghonem. Her collaborative research includes major educational trials funded by the Education Endowment Foundation, focusing on statistical power calculations and meta-analysis of intervention effectiveness.

Thomas ForstnerView profile

Senior Lecturer

• Medical Statistics
• Biostatistics
• Dental Implant Research
• +3 more

Thomas Forstner is a Senior Lecturer and Deputy Head of the Department of Applied Systems Research and Statistics at Johannes Kepler University Linz. With over 15 years of academic experience, he has established himself as a prominent researcher in medical statistics with a particular focus on dental implant studies and clinical research methodology. His educational background includes: Bachelor's degree in Statistics from Johannes Kepler University Linz (2005), with thesis on "Imputation methods in Austrian economic statistics" and "Selected multiple test procedures" Master's degree in Statistics from Johannes Kepler University Linz (2007), graduated with distinction, with thesis on "ROC curves as a means of evaluating classification schemes" Dr. Forstner's research primarily focuses on medical statistics, particularly in dental implantology and clinical research. His work examines classification systems, covariate adjustment in medical studies, and statistical methodology for clinical trials. He has made significant contributions to understanding factors affecting dental implant success, sinus augmentation procedures, and bone regeneration techniques. His research bridges statistical methodology with practical clinical applications, providing valuable insights for both statisticians and medical professionals. His recent publications demonstrate a strong trajectory in dental implant research, with particular emphasis on sinus augmentation techniques, bone grafting materials, and long-term outcomes of implant procedures. He has also maintained an active interest in statistical methodology, particularly in multiple testing procedures and educational applications of statistics. Dr. Forstner is actively involved in teaching statistics across multiple disciplines including Business Informatics, Computer Science, and AI. He also teaches specialized courses in Biostatistics and Clinical Research at both JKU and external institutions including the University of Applied Sciences for Health Professions in Linz and Steyr.