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Nancy DennisView profile

Professor

• Cognitive Aging
• Neuroimaging (fMRI)
• Episodic Memory
• +5 more

Nancy Dennis is a Professor of Psychology and Associate Department Head for Instruction at Pennsylvania State University's Department of Psychology. She also serves as Director of Undergraduate Studies. Her research focuses on cognitive aging, particularly the effects of aging on episodic memory using behavioral and neuroimaging methods (fMRI). Key interests include false memories, associative memory processes, neural compensation mechanisms, and the application of multivariate analysis techniques such as representational similarity analyses and functional connectivity studies. Dr. Dennis earned her Ph.D. from The Catholic University of America in 2004. She leads the Cognitive Aging & Neuroimaging Lab (CANLab), which explores how cognitive and neural processes change with age. Her work integrates advanced neuroimaging approaches to understand memory specificity, neural markers of cognitive decline, and interventions to mitigate memory deficits in older adults. Her research has been published in high-impact journals such as Neuropsychologia , Neurobiology of Aging , and Journal of Neuroscience . Current projects include investigating neurovascular coupling in metabolic syndrome, enhancing creative thinking in older adults, and developing interventions to improve everyday functioning through memory training. She maintains an active role in advancing methodological approaches in cognitive neuroscience, particularly in multivariate pattern analysis and connectome studies.

• Genetics
• Neuroimaging
• Brain Development
• +7 more

Sander Lamballais Tessensohn is a Researcher in the Department of Clinical Genetics at Erasmus MC, a leading academic medical center in the Netherlands. His work bridges genetics, neuroscience, and population health, with a focus on understanding the genetic and environmental factors influencing brain development and psychiatric conditions. Institution: Erasmus MC Department: Clinical Genetics Role: Researcher His research interests include genetics, neuroimaging, brain development, cognitive reserve, and psychiatric disorders. He employs advanced genomic and imaging techniques to explore individual differences in brain structure and function, particularly in pediatric and general populations. The recent publications reveal a strong trend in integrating large-scale genetic data (e.g., polygenic scores, GWAS) with neuroimaging to uncover mechanisms underlying brain development, mental health, and disease risk. His work spans from psychiatric conditions like depression to broader public health issues such as artificial sweetener consumption and environmental exposures. He is actively involved in major international research consortia such as the CHARGE and ENIGMA consortia, indicating collaborative, high-impact research in genomic epidemiology and neuroimaging genetics. While no specific awards or mentoring activities are listed, his publications have been widely recognized, with mentions in news outlets and academic platforms like Mendeley and X (formerly Twitter), reflecting significant scholarly engagement. Dr. Lamballais Tessensohn contributes to interdisciplinary science by linking genetic variation with brain phenotypes and behavioral outcomes, advancing precision medicine and population neuroscience.

Diana TangView profile

Research Fellow

• Sensory Loss Interventions
• Public Health Policy
• Nutrition and Age-related Diseases
• +4 more

Role and Affiliation: Diana Tang is a Macquarie University Research Fellow (MQRF) in the Department of Health Sciences at Macquarie University, affiliated with the Hearing Research Centre. She holds an Accredited Practising Dietitian credential and leads research initiatives addressing psychosocial and physical health outcomes for adults with sensory loss. Education: PhD in Nutrition and Age-related Macular Degeneration (2021), Macquarie University Master's in Nutrition & Dietetics (2016), University of Sydney Bachelor's in Science (Food Science & Technology) (2014) Research Focus: Her work centers on translating evidence-based interventions for sensory-impaired populations. Key projects include: MINGLE: A lifestyle intervention for older adults with vision loss due to AMD Walk, Talk and Listen: Telehealth interventions for hearing-impaired individuals Population studies: Blue Mountains Eye and Hearing Study, Australian Eye and Ear Health Survey (AEEHS), Hearing Impairment in Adults: Longitudinal Outcomes Study (HALOS) Her research bridges nutrition, audiology, and public health, emphasizing multifactorial risk factors and co-design approaches. Collaborations: Collaborates with institutions like the Westmead Institute for Medical Research and co-leads projects on teleaudiology adoption, hearing aid efficacy, and deafblindness classification systems. Active in interdisciplinary initiatives like HEIDI (Hearing Impairment Data Infrastructure). Grants and Leadership: Principal investigator on projects funded by Research IDEAS and MQRF grants. Leads co-design efforts for online support services and has coordinated studies involving 5,000+ participants across Australia. Key Contributions: Published over 30 peer-reviewed articles, with a focus on intervention efficacy, epidemiological risk factors, and healthcare accessibility. Spearheads global efforts to standardize disability assessment frameworks (e.g., ICF Core Sets for Deafblindness).

Herbert HoijtinkView profile

Professor

• Bayesian Statistics
• Multivariate Statistics
• Structural Equation Modeling
• +3 more

Herbert Hoijtink is a Professor of Methodology and Statistics at Utrecht University's Faculty of Social and Behavioural Sciences. He leads the Hoijtink Methodology and Statistics research group and specializes in Bayesian statistical methods, particularly the evaluation of informative hypotheses. His work focuses on improving empirical research through prior knowledge integration, with applications in psychology, education, and biomedical sciences. Research interests include Bayesian model comparison, multivariate statistics, and structural equation modeling. He has developed the bain software package for Bayesian evaluation of inequality-constrained hypotheses. Key contributions include advancing sample size determination for multilevel models and promoting open science practices through the Open Empirical Cycle . Hoijtink has secured significant grants, including NWO VICI and Gravity grants (€27.6 million), and holds fellowships like the NIAS-KNAW residency (2019). He co-authored influential papers on Bayesian replication studies and contributed to the Redefine Statistical Significance debate. His work bridges methodological innovation with practical applications in clinical, developmental, and educational research. Key Projects: Bayesian sample size calculation for longitudinal data, NWO-funded studies on child development Labs/Teams: Methodology and Statistics group at Utrecht University Awards: Psychometric Society Award (2016), VICI Grant (2005)

Sylvane DesrivieresView profile

Professor

• Biological Psychiatry
• Eating Disorders
• Neuroimaging
• +5 more

Professor Sylvane Desrivieres is a leading academic in Biological Psychiatry at King's College London's Institute of Psychiatry, Psychology & Neuroscience (IoPPN). She holds the title of Professor and serves as Deputy Lead of the Eating Disorders and Obesity Theme at the NIHR Maudsley Biomedical Research Centre. Her work integrates genetic, biopsychosocial, and environmental factors to understand mental health disorders, particularly eating disorders, and their comorbidities. Dr. Desrivieres' research employs neuroimaging, genomics, and longitudinal cohort studies to uncover neurophysiological and cognitive traits linked to mental illnesses. She leads the MRC-funded ESTRA project and chairs the Epigenetics Working Group of the ENIGMA consortium. Education: Completed a PhD at the University of Paris VII, followed by postdoctoral research in Switzerland (University of Basel) and Germany (German Cancer Research Centre, Heidelberg). Her career shifted from cancer genetics to neuroimaging in the early 2000s, focusing on brain and behavior interactions. Research Interests: Etiology and mechanisms of eating disorders in adolescents and young adults Comorbidity of eating disorders with depression, alcohol use, and psychosis Personalized prevention and early intervention strategies Genomic and neuroimaging correlates of brain structure/function Leadership and Advocacy: Co-founded the EDIFY consortium for eating disorder research and co-leads the IoPPN Race Equality Working Group, contributing to the Race Equality Action Plan. She teaches on MSc programs in Developmental Psychopathology and Neuroscience. Key Collaborations: IMAGEN Consortium (neuroimaging genetics), c-VEDA (India-based adolescent mental health), and ENIGMA. Her work emphasizes translational research to bridge clinical and basic science.

• Cardiology
• Sudden Cardiac Death
• Heart Failure
• +11 more

Selcuk Adabag is a Professor in the Department of Medicine at the University of Minnesota, with a clinical and research affiliation at the Veteran's Administration Medical Center. His work is centered on cardiovascular disease, particularly sudden cardiac death, heart failure, and arrhythmia management. His research interests include: Sudden Cardiac Death risk prediction and prevention Heart Failure with Preserved Ejection Fraction (HFpEF) Atrial Fibrillation and antiarrhythmic therapies Implantable Cardioverter-Defibrillators (ICDs) Epidemiology of cardiovascular disease Clinical informatics and EHR-based cohort development Recent publications highlight a strong focus on risk stratification using biomarkers (e.g., ankle-brachial index), drug repurposing (e.g., metformin for arrhythmias), and the use of data science techniques to improve clinical trial emulation. His research spans both clinical cardiology and public health, with contributions to global cardiovascular burden assessments, particularly in the Middle East and North Africa. Scientific contributions include: Principal Investigator on an American Heart Association-funded project to validate a multivariable prediction model for sudden cardiac death Extensive publication record in top-tier journals such as Journal of the American Heart Association , Heart Rhythm O2 , and Current Problems in Cardiology Active research output through 2025, indicating ongoing scholarly engagement Dr. Adabag collaborates with multidisciplinary teams across institutions, leveraging electronic health records and large cohort studies (e.g., ARIC study) to address critical questions in cardiology. While no formal lab is mentioned, his role as PI and frequent co-authorship with biostatisticians, epidemiologists, and informaticians suggests leadership in collaborative research initiatives.

Jessica StubenrauchView profile

Researcher

• Environmental Law
• Land Use Governance
• Climate Change Adaptation
• +3 more

Dr. Jessica Stubenrauch is a postdoctoral researcher at the Department of Environmental and Planning Law at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. Her work bridges governance research on sustainable land use, climate change adaptation, and the intersection of environmental law with agricultural and forestry systems. She contributes to interdisciplinary projects on EU agricultural policies, soil ecology, and plastic governance frameworks. Research Focus : Sustainable land use governance; European/national environmental law; climate-agricultural policy integration; soil ecology Projects : BonaRes (InnoSoilPhos), EU telecouplings in agriculture, phosphorus research Engagement : Panel member, European Sustainable Phosphorus Platform; organizer of conferences on socio-ecological transformation; workshop moderator on climate justice and agricultural self-sufficiency Her research connects environmental law with ecological outcomes, particularly in agroecosystems and urban-rural gradients. Recent publications address pollination deficits, tree growth under climate stress, and soil microbiome responses to extreme weather, reflecting her interdisciplinary approach. She collaborates with institutions like iDiv (German Centre for Integrative Biodiversity Research) and Leibniz ScienceCampus on phosphorus research.

• Biostatistics
• Medical Biometrics
• Epidemiology
• +3 more

Prof. Dr. rer. nat. Annika Hoyer is a leading Professor in Biostatistics and Medical Biometrics at the Medical Faculty OWL of the University of Bielefeld. She serves as a member of multiple critical committees including the Faculty Conference, Doctoral Committee, and Research Commission, and contributes to the Center for Statistics . Her work integrates advanced statistical methodologies with public health applications. Academic affiliation: University of Bielefeld Primary role: Professor for Biostatistics and Medical Biometrics Committee memberships: Faculty Conference, Habilitation Committee (Deputy), Doctoral Committee, APL Committee (Deputy), Research Commission Research Interests focus on: Methodological developments in meta-analysis and ROC curve modeling Diabetes epidemiology with emphasis on incidence trends, mortality projections, and socioeconomic factors Chronic disease modeling using illness-death models and copula-based approaches Clinical trial statistics and medical data synthesis Public health surveillance for early-onset cancer and long-term care demand Publications highlight methodological innovations in time-to-event analysis , diagnostic accuracy studies , and diabetes burden estimation . Her collaborative work spans neurosurgery , rheumatology , and pediatric emergency care . Key Projects include ongoing methodological-epidemiological research on type 2 diabetes dynamics (funded by private third-party support until 2025) and statistical models for chronic disease surveillance in low-resource settings.

• Cognitive Neuroscience
• Psychogerontology
• Neuropsychology
• +3 more

MARIA CAMPOS MAGDALENO is a Professor at the University of Santiago de Compostela , affiliated with the Faculty of Psychology and the Department of Developmental and Educational Psychology . She serves as a principal investigator for the NeuCogA research group focused on Applied Cognitive Neuroscience and Psychogerontology . Education : Doctorate in Psychology from the University of Santiago de Compostela (2017) with thesis on memory evaluation in Mild Cognitive Impairment Primary Research Interests : Cognitive aging, mild cognitive impairment, neuropsychological assessment, cognitive reserve, dementia prediction Her research focuses on understanding cognitive changes in aging populations, particularly through longitudinal studies like the Compostela Ageing Study (CompAS) and the SCAND initiative . She investigates language patterns, functional abilities, and behavioral symptoms in individuals with Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) , aiming to develop predictive models for dementia progression. Recent work analyzes: Longitudinal language differences across cognitive states Serial-position effects in memory assessment Role of dyadic reporting in cognitive decline prediction Frailty-cognitive status interactions Validation of clinical assessment tools (CVLT, RBMT, Lawton-Brody IADL) Her publications demonstrate strong emphasis on cross-cultural studies (Iberian region) and methodological innovations in cognitive assessment. She contributes to normative data development for clinical tools and explores digital interventions (web-based applications, narrative video games) for cognitive training. Contact: maria.campos@usc.es

Peter HumburgView profile

Researcher

• Biostatistics
• Bioinformatics
• Hierarchical Statistical Models
• +4 more

Dr. Peter Humburg is a researcher at UNSW Sydney with expertise in biostatistics and bioinformatics. His work focuses on applying statistical models to genomics, epigenomics, and predictive modeling in healthcare contexts. He has collaborated on major grants including a $2.9M MRFF project on neurostimulation for spinal cord injury rehabilitation and a $544K ARC Linkage grant developing educational tools for early childhood learning (ORICL). His research spans pain mechanisms, epidemiology, and genomic analysis in conditions like osteoarthritis and dementia prevention. Dr. Humburg has published over 60 peer-reviewed articles across journals like NeuroImage, Scientific Reports, and BMC Medicine, with particular emphasis on translational research linking statistical methods to clinical outcomes. Education & Training: Academic qualifications not explicitly stated in provided texts, though extensive publication history suggests PhD-level training in biostatistics or related field. Research Interests: The integration of advanced statistical techniques with clinical data to improve diagnosis, prognosis, and treatment prediction in areas like chronic pain, neurodegenerative diseases, and musculoskeletal disorders. He also explores educational methodologies for early childhood development through data-driven approaches. Grant Contributions: Led or co-investigated projects totaling over $3.5M in funding from MRFF, ARC, and industry partners. His work emphasizes interdisciplinary collaboration between engineering, medicine, and education sectors. Awards: No specific prizes listed, though his sustained research output demonstrates academic recognition. Labs/Teams: Affiliated with UNSW's research infrastructure including high-performance computing facilities. Collaborates with multidisciplinary teams in biomedical engineering and public health initiatives.

• Epidemiology
• Cardiovascular Diseases
• Cancer Research
• +4 more

Panagiotakos Demosthenes is a Professor of Biostatistics and Nutritional Epidemiology at Harokopio University. He specializes in the epidemiology of chronic diseases, particularly cardiovascular diseases and cancer, and contributes to medical research methodology, including study design, clinical trials, and complex index creation. His research integrates biostatistics, public health, and nutrition, with a focus on risk factors, healthy aging, and dietary patterns. Education: PhD in Medicine/Epidemiology (University of Athens, 2002) Postdoc in Cardiovascular Epidemiology (Georgetown University, 2004) MSc in Biostatistics (University of Athens, 2000) Postgraduate training in Epidemiology (London School of Hygiene and Tropical Medicine, 1999) BSc in Mathematics (University of Patras, 1989) Research Interests: Epidemiology of chronic diseases Nutritional standards and public health policies Biostatistics and multivariate analysis Cardiovascular risk factors and prevention Impact of lifestyle and diet on aging Publications: His work spans over 20 years, with recent studies focusing on the Mediterranean diet’s role in disease prevention, the global burden of cardiovascular conditions, and the epidemiology of obesity and diabetes. Key themes include diet-cardiovascular health linkages, biomarker analysis, and population-level risk assessment. Labs/Teams: He collaborates with the ATTICA Cohort Study, contributing to large-scale epidemiological research on Greek populations. His work also involves international collaborations, such as the Global Burden of Disease Study and the European Association of Preventive Cardiology.

• Signal Processing
• Digital Communication
• Information Theory
• +8 more

Gregory W. Wornell is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), affiliated with the Research Laboratory of Electronics (RLE). He leads the Signals, Information, and Algorithms Laboratory and co-directs the MIT Center for Wireless Networking. He chairs the EECS Graduate Area I (Systems, Communication, Control, and Signal Processing) and is part of MIT's Computational and Systems Biology Initiative. Education: B.A.Sc. (Honors), Electrical Engineering & Computer Science, University of British Columbia (1985) S.M. (1987) and Ph.D. (1991), Electrical Engineering & Computer Science, MIT Research Interests: Focuses on signal processing, digital communication, and information theory, with applications to wireless networks, sensor systems, multimedia technologies, and quantum communication. His work emphasizes algorithms for interference cancellation, multimedia authentication, and source coding. Awards & Recognition: IEEE Fellow HP-MIT Alliance Award (2001) Promoted to Full Professor at MIT (2002) Grants & Leadership: Leads major research initiatives, including work funded by the HP-MIT Alliance. Oversees graduate programs and industrial collaborations. Labs & Teams: Directs the Signals, Information, and Algorithms Laboratory within RLE, fostering interdisciplinary projects in wireless networking and quantum communication.

Zhengyang ZhouView profile

Associate Professor

• Aging
• Alzheimer's disease
• Biostatistics
• +5 more

Dr. Zhengyang Zhou is an Associate Professor in the College of Public Health at the University of North Texas Health Science Center, Department of Population and Community Health. His research focuses on statistical methodology development and collaborative interdisciplinary studies in aging/Alzheimer’s disease, health behaviors/substance use, and statistical genetics. He holds a PhD in Biostatistics from Southern Methodist University and has been actively funded since 2017 with 16 sponsored projects including NIH grants. His work includes 56 peer-reviewed publications with an h-index of 14 and 523 citations. Education: BS in Mathematics, Beijing Institute of Technology MS in Statistics, Southern Methodist University PhD in Biostatistics, Southern Methodist University Research Interests: Statistical method development for real-world challenges Evaluation of existing statistical methods Large-scale interdisciplinary collaborations in Alzheimer’s disease, substance use, and genetic epidemiology Awards: 2021 Junior Investigator Award, Research Society on Alcoholism Grants & Projects: PI/Co-I on 16 projects including NIH/NIA grants (e.g., Health & Aging Brain Study-HD) Focus areas: computational tools, genomic screens, and population health disparities Labs/Teams: Leads a research group studying Alzheimer’s disparities in Mexican/African American populations using advanced ML/AI and statistical techniques.

• Statistics
• Nonlinear Models
• Regression Analysis
• +7 more

Prof. Müjgan Tez is a distinguished academic in the field of Statistics, currently serving as a Professor at Marmara University, Faculty of Arts and Sciences, Department of Statistics , and concurrently at Işık University, Faculty of Arts and Sciences, Department of Mathematics . Her career spans decades with significant contributions to statistical methodology and applications. Doctorate: Çukurova University, Mathematics (1985) Postgraduate: Ankara University, Mathematics (1982) Undergraduate: Selçuk University, Mathematics (1980) Her research interests include nonlinear models, regression analysis with measurement error, meta-analysis, survival analysis, robust statistics, and time series forecasting. She applies advanced statistical techniques to interdisciplinary problems in medicine, engineering, and public health. The recent publications reflect a strong trend in methodological statistics, particularly in nonlinear and semiparametric modeling, robust regression, and optimization techniques. Her work bridges theoretical statistics with real-world applications, including medical studies on neurosurgery career choices and pandemic forecasting. Scientific awards: Nato Bursları TUBITAK (1990–1991) Advising and grants: She has supervised over 20 graduate theses and led funded research projects such as "Genetic Algorithm and Jackknife Method Combined for Estimating Compartment Model Parameters" (BAP, 2016). Her academic leadership includes multiple terms as Head of Department in both Mathematics and Statistics at Marmara University. She has served on PhD thesis monitoring committees and contributed to numerous international conferences. Labs and teams: While no specific lab name is mentioned, her collaborative work with researchers like Taylan, Yerlikaya-Özkurt, İnan, and Türkşen suggests active participation in statistical research groups focusing on optimization, fuzzy systems, and functional data analysis.

• Mendelian Randomization Analysis
• Meta-Analysis
• Mental Health
• +3 more

Professor Marcus Munafo holds dual roles as Deputy Vice-Chancellor and Provost at the University of Bath, serving in the Vice Chancellor's Office. His research focuses on genetic epidemiology, Mendelian randomization, and mental health interventions. Key areas include analyzing genetic variants related to smoking behavior, nicotine effects on depression, and socioemotional training for adolescent mental health. He has contributed over 778 research outputs, emphasizing methodological rigor in scientific publishing through works like 'FAIR’s fair – are interesting articles sufficiently transparent?'. His work addresses UN Sustainable Development Goals related to mental health and well-being. Notable collaborations include transdisciplinary teams studying longitudinal behavioral traits and genetic pleiotropy effects. Munafo advocates for transparent research practices, evident in his critiques of publication transparency and methodological standards. As an academic leader, he balances administrative duties with active research in addiction genetics and translational mental health strategies. His recent projects include the ReSET intervention study and multivariable Mendelian randomization analyses, demonstrating commitment to both policy impact and empirical innovation.