جست‌وجوی استاد و پژوهشگر

Michael Turelliمشاهده پروفایل

استاد

• Theoretical Population Genetics
• Evolutionary Biology
• Speciation Mechanisms
• +۴ مورد دیگر

Michael Turelli is a Distinguished Professor in the Department of Evolution and Ecology at the University of California, Davis. His research focuses on theoretical population genetics, speciation mechanisms, and the population biology of Drosophila, particularly exploring Wolbachia-induced cytoplasmic incompatibility and its evolutionary implications. He is affiliated with the College of Biological Sciences and contributes to interdisciplinary initiatives in ecological biogeography and microbial symbiosis. His work bridges theoretical models with empirical studies, addressing questions in evolutionary genetics, disease control, and species diversification. Education details are not explicitly mentioned in the provided text, but his academic career has been centered at UC Davis since 1990s. His research interests include the dynamics of Wolbachia infections in insects, the genetic basis of reproductive isolation, and the application of ecological niche modeling tools (e.g., ENMTools) to study species distributions and evolutionary processes. Key research themes include the evolution of Wolbachia-host interactions, the mechanisms driving speciation in Drosophila, and the development of mathematical models to predict symbiont spread in disease vectors like Aedes aegypti. His studies often integrate lab experiments, genomic analysis, and computational simulations to understand evolutionary outcomes at both micro- and macroevolutionary scales. Labs/Teams: His work is conducted within the Evolution and Ecology Department at UC Davis, collaborating with researchers in microbiology, ecology, and computational biology to advance understanding of symbiotic relationships and their ecological impacts.

• Philosophy of Physics
• Quantum Mechanics
• History of Quantum Mechanics
• +۳ مورد دیگر

Dr. Guido Bacciagaluppi is an Associate Professor at Utrecht University's Department of History and Philosophy of Science, part of the Faculty of Science. He is affiliated with the Freudenthal Institute and the Descartes Centre for the History and Philosophy of the Sciences and Humanities. His research focuses on quantum mechanics, the philosophy of probability, and the history of foundational scientific debates. Notably, he has published extensively on the 1927 Solvay Conference and the Einstein-Bohr debates, co-authoring works such as Quantum Theory at the Crossroads (2009) and The Einstein Paradox (2023). He has also contributed to historical analyses of Grete Hermann’s contributions to quantum theory and philosophy. Dr. Bacciagaluppi serves as Co-Editor-in-Chief of the Journal for General Philosophy of Science and is a member of several international academic societies. His work bridges technical philosophy of physics with historical scholarship, emphasizing interdisciplinary approaches to foundational questions.

Lindsey Hinesمشاهده پروفایل

مدرس

• Epidemiology
• Adolescent Mental Health
• Cannabis Use
• +۵ مورد دیگر

Dr. Lindsey Hines is a Lecturer in the Department of Psychology at the University of Bath, specializing in the epidemiology of adolescent substance use and mental health. Her research examines pathways between adverse childhood experiences, adolescent drug use, and long-term mental health outcomes using longitudinal cohort analyses. Education includes: BSc Applied Psychology, Durham University MSc Psychiatric Research, King's College London PhD Epidemiological Psychiatry, King's College London Research focuses on: Cannabis and opiate use epidemiology Adolescent mental health interventions Longitudinal data analysis methods Public health policy implications Her publications demonstrate consistent focus on substance use patterns, mental health outcomes, and intervention effectiveness in adolescent populations through advanced statistical modeling of cohort data. Current projects include: Bath NIHR Mental Health Research Group (2025-2029) Reducing cannabis harms through evidence-based drug policy (2024-2028) Understanding Antecedents and Outcomes of Frequent Adolescent Cannabis Use (2023-2024) She leads research collaborations across UK institutions and accepts doctoral students.

• Applied Economics
• Econometrics
• Statistics
• +۳ مورد دیگر

Prof Svetlana Makarova is a Professor of Applied Economics at the School of Slavonic and East European Studies (SSEES), University College London. She holds a PhD from the Russian Academy of Sciences (1985) and a Diploma from St. Petersburg State University (1978). Her research focuses on applied economics, econometrics, statistics, and economic theory, with a strong emphasis on inflation dynamics, uncertainty modeling, monetary policy, and macroeconomic forecasting. She is particularly known for her work on inflation forecast uncertainty using advanced statistical methods like copula approaches and skew normal distributions, as well as analyses of economic policies in transitional and emerging economies. Prof Makarova's expertise includes the application of econometric models to understand macroeconomic phenomena such as deflation episodes, high inflation impacts, and central bank policy effects. Her work frequently addresses Eastern European and post-Soviet economies, leveraging interdisciplinary methods like natural language processing for textual analysis. She is fluent in English, Russian, and Polish, enhancing her ability to conduct cross-cultural economic research. Her contributions span both theoretical advancements in econometric modeling and practical policy-oriented analyses. Her research has explored topics ranging from stochastic unit-root bilinear processes to inter-country economic models linking Belarus, Russia, and Ukraine. She has also investigated the real effects of monetary policy in Poland and Russia, emphasizing timing and supply-side impacts. Despite her prolific publication record, no specific scientific awards are mentioned, though her extensive academic positions and contributions reflect her scholarly impact.

• Health Economics
• Economic Evaluation
• Public Health
• +۵ مورد دیگر

Dr Winnie Chen is a Research Fellow at the University of Sydney's Sydney School of Public Health and the Menzies Centre for Health Policy. She holds a PhD in health economics (2024) and dual qualifications in medicine (MBBS) and public health (MPH). Her expertise spans health economics, clinical decision support systems, and epidemiological analysis. She concurrently works as a senior research fellow at Menzies School of Health Research in Darwin, focusing on chronic disease research, and practices as a General Practitioner at an Aboriginal Medical Service. Educations: PhD in Health Economics, University of Sydney MPH (Public Health) MBBS (Medicine) FRACGP (Fellow of the Royal Australian College of General Practitioners) Her research emphasizes economic evaluations of healthcare interventions, chronic disease burden analysis, and improving primary healthcare access for Indigenous populations. She has pioneered tools like the General Practice Sleep Scale (GPSS) for obstructive sleep apnoea screening and contributed to bronchiectasis epidemiology studies in Indigenous communities. Her work bridges clinical practice and policy through cost analyses of chronic kidney disease management and CDSS implementation strategies. Research Outputs: Over 15 peer-reviewed publications since 2018, including high-impact articles in Medical Journal of Australia and Journal of the American Medical Informatics Association . Recent work focuses on general practice funding models and modelled economic evaluations for clinicians. Advising & Grants: Supervises Lucinda ROPER's research on systemic autoimmune diseases in Australia. Collaborates across sectors to develop clinical decision support systems, supported by partnerships with Northern Territory health networks and Menzies Research Institute. Labs & Teams: Core member of Menzies Centre for Health Policy and part of cross-disciplinary teams at the Northern Territory's chronic disease research network. Engages with Aboriginal Medical Services to co-design culturally responsive healthcare interventions.

Dũng Trầnمشاهده پروفایل

مدرس ارشد

• Mathematics Education
• STEM Education
• Curriculum Development
• +۵ مورد دیگر

Dr Dũng Trần is a Senior Lecturer in Mathematics/STEM Education at the Macquarie School of Education, Macquarie University. His research focuses on improving students' mathematical literacy through curriculum design and empowering teachers to integrate real-life problem-solving and equity into education. He holds a PhD in Mathematics Education (2013) and a Statistics minor from the University of Missouri. Education: PhD in Mathematics Education, University of Missouri (2013) PhD Minor in Statistics, University of Missouri (2013) Research Interests: Curriculum development, teacher pedagogical content knowledge, equity in numeracy education, and the role of technology in mathematics learning. His work emphasizes teacher agency and student-centered strategies. Recent Work Trends: Recent publications explore teacher beliefs in lesson study, health literacy in early childhood, and parental attitudes toward mathematics education. Collaborations include interdisciplinary health communication projects and remote learning analyses. Awards: No awards explicitly listed. Grants & Advising: While no grants are detailed, his activities include presenting on MOOC design for mathematics teachers and problem-solving strategies in classrooms. He actively collaborates on educational equity initiatives. Labs/Teams: Engaged in curriculum development and teacher training teams within Macquarie’s School of Education.

• Clinical Psychology
• Forensic Psychiatry
• Adolescent Mental Health
• +۶ مورد دیگر

Stijn Vandevelde is a Professor at Ghent University , focusing on clinical psychology, forensic psychiatry, and therapeutic interventions. His work spans adolescent mental health, intellectual disability rehabilitation, and community-based care models. Key affiliations: Ghent University (Department of Psycho-analysis and clinical consulting) Research themes: Mindfulness applications, quality of life in therapeutic communities, family-centered interventions Research Interests include integrating psychoanalytic theory with evidence-based practice, evaluating interventions for vulnerable populations (adolescents, forensic patients, families in crisis), and methodological advancements in clinical psychology through randomized trials and meta-analyses. Scientific Trends from his recent articles emphasize: Mindfulness in chronic condition management Family engagement in child protection Quality of life in substance abuse treatment Cross-disciplinary rehabilitation models

• Neurology
• Medical Research
• Epidemiology
• +۳ مورد دیگر

Simone Dijkland is a Researcher at the Neurology department of Erasmus MC, specializing in clinical decision-making models and evidence synthesis. Their work focuses on improving patient outcomes through predictive analytics in neurology and oncology, with notable contributions to aneurysm treatment protocols and mortality prediction in chronic diseases. Research interests include meta-analyses, systematic reviews, and developing prognostic models for conditions like traumatic brain injury and chronic obstructive pulmonary disease. Collaborations include the CENTER-TBI initiative for neurotrauma research. Recent publications (2022–2024) emphasize clinical prediction tools, comparative treatment analyses, and mortality risk assessment in major health conditions. Their work combines statistical rigor with translational clinical applications.

• Cognitive Neuroscience
• Forensic Neuroscience
• Neuropsychology
• +۶ مورد دیگر

Cristina Scarpazza is an Associate Professor at the University of Padua, Italy. Her research focuses on cognitive neuroscience, forensic neuroscience, and neuropsychology, with emphasis on emotion recognition, predictive processing, and neuroimaging applications. She leads projects on AI-driven diagnostic tools for brain disorders and legal/ethical implications of neuroscience. Her work bridges clinical, legal, and technological domains. Research interests include: cognitive mechanisms of emotion perception, neuropsychological assessment of offenders, machine learning applications in mental health, and neuroimaging meta-analyses. She has pioneered the EAR test for emotion authenticity and the Neurofind AI framework for brain disorder inference. Her recent work addresses acquired vs developmental forms of paraphilic behaviors and PTSD prevalence analysis. Publications span over 50 peer-reviewed articles in high-impact journals. Key areas include schizophrenia neuroimaging, multiple sclerosis cognitive deficits, and legal neuroscience. Awards and grants include EU-funded projects on forensic neuroimaging and collaborations with international research networks. Advising focuses on interdisciplinary doctoral training in computational neuroscience and legal applications. She is a member of the Italian Society of Neuroscience and contributes to Delphi consensus studies on neuropsychiatric assessment standards.

Melissa Gresleمشاهده پروفایل

پژوهشگر ارشد

• Multiple Sclerosis
• Neuropharmacology
• Clinical Trials
• +۳ مورد دیگر

Melissa Gresle serves as a Research Fellow in the Department of Neuroscience within Monash University's Faculty of Medicine, Nursing and Health Sciences. Her work centers on multiple sclerosis (MS) research with strong connections to the Butzkueven Group. Her research spans neuropharmacology, clinical trials, and neuroimmunology, focusing on: Therapeutic interventions for MS and stroke Vitamin D supplementation effects on immune responses Advanced statistical modeling for disease progression Global health monitoring systems for MS patients Recent publications demonstrate expertise in: Comparative drug efficacy studies (ocrelizumab vs. traditional therapies) Multinational cohort analyses of pandemic impacts on neurological diseases Development of novel assessment tools for neurological disability She actively contributes to major research initiatives including: Participatory Health Monitoring in MS (Active-MS) as Project Manager Floodlight Open Study as Chief Investigator

• Road Safety
• Injury Prevention
• Injury Data Analysis
• +۳ مورد دیگر

Angelo D'Elia is a Research Fellow at the Monash University Accident Research Centre (MUARC) and a Statistical Consultant at the Victorian Injury Surveillance Unit (VISU). He holds a PhD in Public Health and Honours degrees in Mathematical Statistics and Mechanical Engineering. His expertise spans road safety evaluation, vehicle safety research, data linkage, and injury prevention. He leads and contributes to over 40 research projects, focusing on crash data analysis, countermeasure effectiveness (e.g., speed enforcement, airbags), and trauma trend modeling. D'Elia has authored 68+ publications and received awards for his work, including the 2024 Peter Vulcan Best Paper Award. He advises PhD students and collaborates internationally, contributing to policy through expert submissions to government inquiries. Education: Doctor of Philosophy in Public Health Bachelor of Science (Honours) in Mathematical Statistics Bachelor of Engineering (with Honours) in Mechanical Engineering Research Interests: Angelo’s work centers on optimizing administrative data for injury prevention, evaluating road safety programs (e.g., automated enforcement, vehicle safety tech), and developing advanced statistical models. He emphasizes translating data into actionable insights for policy, such as real-time injury tracking systems and baseline trauma models. Articles Trends: Recent work highlights vehicle safety regulations, injury severity scoring via linked data, and pandemic impacts on road safety. His analyses often combine large-scale datasets with time-series modeling to identify trends and inform policy. Awards: Peter Vulcan Best Paper Award (2024) MIRI Award for Best Early Career Paper (2013) Advising & Grants: Accepts PhD students and leads major grants evaluating NSW automated enforcement programs, crash avoidance technologies, and vehicle safety innovations. Collaborates with MUARC teams and external agencies on road trauma reduction initiatives. Labs/Teams: Member of the Injury Analysis and Data team at MUARC and VISU, focusing on statistical methodologies and interdisciplinary road safety solutions.

John W. Jacksonمشاهده پروفایل

دانشیار

• causal inference
• confounding
• decomposition
• +۱۵ مورد دیگر

John W. Jackson, ScD is an Associate Professor in the Department of Epidemiology at Johns Hopkins Bloomberg School of Public Health. His primary academic appointment is in Epidemiology with joint affiliations in Biostatistics. Dr. Jackson develops innovative methods for translational health equity research, focusing on measurement, epidemiology, and policy/intervention effects on health inequities. Dr. Jackson's research centers on developing methods to identify, refine, and evaluate interventions to eliminate health and healthcare disparities, as well as improving transparency and conduct of observational studies and post-hoc analyses of clinical trials. His work spans causal inference, confounding, decomposition methods, intersectionality, mediation analysis, and health disparities research across multiple domains including mental health, pharmacoepidemiology, and observational studies. Analysis of Dr. Jackson's recent publications (2024-2025) reveals a strong focus on health equity methodologies, with particular attention to intersectional approaches that examine how multiple marginalized identities compound health disparities. His work frequently applies causal decomposition frameworks to identify intervention targets for reducing disparities across various health conditions including hypertension, mental health, and cancer screening. 2018 Discovery Award Grant, Johns Hopkins University 2018 Exemplary peer reviewer for Epidemiology 2017 Honorable mention, Thomas Ten Have Award, Atlantic Causal Inference Conference 2016 Kenneth Rothman Prize for best paper published in Epidemiology 2016 Top peer reviewer for Pharmacoepidemiology and Drug Safety 2014 Alonzo Smythe Yerby Fellowship, Harvard T.H. Chan School of Public Health 2013 Best overall poster, Society for Epidemiologic Research Annual Meeting Dr. Jackson maintains active collaborations across Johns Hopkins University and with external institutions, particularly in projects examining the intersection of race, gender identity, disability, and other social determinants of health. His methodological innovations have significant implications for health policy and clinical practice, particularly in identifying actionable intervention points to address persistent health disparities.

John Fernleyمشاهده پروفایل

پژوهشگر ارشد

• Probability Theory
• Statistical Mechanics
• Random Graphs
• +۵ مورد دیگر

John Fernley is a Research Fellow at the University of Warwick's Centre for Research in Statistical Methodology (CRiSM). His research focuses on particle systems on large random graphs, including opinion dynamics, infection spread, branching processes, and dynamic queueing systems. He holds a PhD from the University of Bath and has held postdoctoral positions at ENS de Lyon and the Alfréd Rényi Institute of Mathematics. His educational background includes a PhD in Mathematics from the University of Bath (details unspecified), followed by postdoctoral research in France and Hungary. His work bridges probability theory and network science, with particular emphasis on dynamic systems evolving on complex networks. Research interests center on phase transitions in contact processes, voter models on scale-free networks, and adaptive network structures. His recent talks include analyses of immunization strategies on power-law trees and cutoff phenomena in multitype networks. He maintains active engagement through ORCiD and Google Scholar. No grants or awards are listed, though his publications indicate active contributions to stochastic processes and network dynamics. He is affiliated with CRiSM, part of Warwick's Department of Statistics, and collaborates internationally.

• Medical Statistics
• Clinical Trial Design
• Longitudinal Data Analysis
• +۴ مورد دیگر

Nick Parsons is a Professor (Research Focussed) at the University of Warwick's Warwick Medical School, affiliated with the Warwick Clinical Trials Unit. He holds a MSc in Statistics from Warwick University and a PhD in Applied Mathematics from Queen Mary, University of London. His research focuses on medical statistics, clinical trial design, and applications in Trauma & Orthopaedics. He has over 20 years' experience as a statistical consultant, collaborating across biological sciences, medicine, and industry. Key research interests include experimental design/analysis, longitudinal data analysis, ordinal regression models, R programming, and digital image processing using neural networks. He has contributed to major studies like START:REACTS, WHiTE, and FASHIoN RCT, evaluating surgical and therapeutic interventions. His work integrates statistical rigor with clinical practice, emphasizing adaptive trial designs and cost-effectiveness analyses. He has led numerous grants including NIHR-funded projects on clinical trials, fracture management, and musculoskeletal outcomes. Active in professional societies (International Biometric Society, Royal Statistical Society), he advocates for methodological innovation in healthcare research. Key Projects: START:REACTS (rotator cuff trials), WHiTE (hip fracture evaluation), FASHIoN RCT (hip impingement) Grants: NIHR awards for clinical trials, trauma studies, and musculoskeletal research Labs/Teams: Warwick Clinical Trials Unit, NDORMS Oxford collaborations

• Banking
• Credit Risk Management
• Financial Regulation
• +۳ مورد دیگر

Antonella Malinconico is a faculty member at the University of Sannio's Department of Law, Economics, Management and MET.QUANT. She teaches courses such as Financial Institutions Management and Risk Management across various degree programs (Business Economics, Statistical and Actuarial Sciences, Economics, Banking and Finance). Her research focuses on banking systems, credit risk management, financial regulation, and debt recovery services. Recent work examines digital financial reporting's impact on transparency, best practices in debt recovery, and non-performing loans strategies. Key publications include analyses on Italian banking industry dispute resolution, macroeconomic trends in secured loans, and regulatory challenges. She explores topics like XBRL implementation in financial reporting, SME financing under Basel norms, and strategic options for NPL management aligned with ECB guidelines. Her contributions address both academic and practical aspects of banking operations, risk governance, and technological advancements in financial services. Malinconico's expertise spans empirical studies on customer experience in retail banking and the evolution of regulatory frameworks post-Basel II/III. She actively engages with industry challenges such as debt collection efficiency, corporate governance reforms, and technology-driven solutions for risk mitigation.