Find Academic Supervisors

• Statistics
• Public Health
• Missing Data Analysis
• +3 more

Dr. Carole Birrell is a Senior Lecturer in the School of Mathematics and Applied Statistics at the University of Wollongong, Australia. She holds a PhD in Statistics and has been actively involved in research and teaching since 2010. Her academic work focuses on statistical methods for complex data, particularly in health and aging research. BSc (Statistics) - University of New South Wales Postgraduate Diploma in Education - University of Wollongong Master of Statistics - University of Wollongong PhD (Statistics) - University of Wollongong Her research interests revolve around: Missing data imputation techniques Analysis of complex survey data Combining multiple survey datasets Statistics education innovations Seasonal adjustment methods for time series Recent research outputs (2020-2024) demonstrate her focus on: Survey methodology and data harmonization NCI dietary analysis techniques Replicate weight applications Size-biased sampling approaches Seasonal adjustment modeling Dr. Birrell has received internal funding for projects including: "Jump into R" - statistical software training "Sharing in the mathematics education space" - pedagogical research "Multiple choice resources for pre-service teachers" - education development As part of the National Institute for Applied Statistics Research Australia (NIASRA), she contributes to: Undergraduate and postgraduate statistics teaching PhD supervision in statistical methods and applications Statistical consulting for external clients Collaborative research across disciplines

Alexis BrieantView profile

Assistant Professor

• Developmental Psychology
• Clinical Psychology
• Neuroscience
• +4 more

Alexis Brieant is an Assistant Professor in the Department of Psychological Science at the University of Vermont (UVM), affiliated with the College of Arts and Sciences. Her research focuses on understanding how adversity and social determinants of health impact neurodevelopment and mental health in children and adolescents. She integrates developmental science, clinical psychology, and neuroscience to identify risk and resilience factors for targeted interventions. Education: B.A. in Psychology from SUNY Geneseo (2015), M.A. and Ph.D. in Clinical Psychology from Virginia Tech (2017, 2020), followed by a postdoctoral fellowship at Yale University (2020–2023). Research Interests : - Adversity and environmental stressors in youth development - Neurodevelopmental mechanisms linking adversity to mental health - Resilience factors and intervention targets to reduce health disparities. Her FERN Lab uses neuroimaging (fMRI), behavioral tasks, and structural equation modeling to explore these topics. Publications : Focus on brain-behavior relationships, socioeconomic status, and longitudinal studies like the ABCD Study. Recent work examines community cohesion, climate change impacts, and familial depression risk through neural circuitry. Labs/Teams : Leads the FERN Lab, emphasizing interdisciplinary approaches to human development challenges.

Bjørge Herman HansenView profile

Professor

• Physical Activity and Health
• Public Health Surveillance
• Exercise Epidemiology
• +4 more

Bjørge Herman Hansen is a Professor in the Department of Sport Science and Physical Education at the University of Agder (UiA). His research focuses on the relationship between physical activity and health across the lifespan, particularly in children, adults, and the elderly. He also examines surveillance of health behaviors and methodological advancements in device-based measurement of physical activity and sedentary behavior. Education: Master's degree completed in 2008 PhD defended at the Norwegian School of Sport (NIH) in 2013 Research Interests: Physical activity and health outcomes Accelerometry-based behavioral analysis Public health surveillance systems Pediatric and geriatric activity patterns Impact of sedentary behavior His work emphasizes translating research into actionable public health guidelines and interventions. Key Contributions: Over 150 peer-reviewed articles and book chapters, including influential studies on step-count mortality associations, device-measured activity metrics, and global cohort analyses. Labs/Teams: Active member of the Physical Activity and Health across the LifeSpan (PAHLS) research group, collaborating internationally on large-scale epidemiological studies.

Debashis PaulView profile

Professor

• Multivariate statistics
• Random matrix theory
• Functional data analysis
• +4 more

Debashis Paul is a Professor in the Department of Statistics at the University of California, Davis. His research focuses on high-dimensional statistics, random matrix theory, functional data analysis, and their applications in neuroimaging and spatial statistics. He has contributed to methodologies for spectral analysis, covariance modeling, and nonparametric estimation in complex datasets. His work spans theoretical developments in multivariate analysis and practical applications in fields such as medical imaging and genomics. Recent projects include modeling fiber orientation in diffusion MRI, analyzing high-dimensional genomic data, and studying pandemic dynamics through statistical frameworks. Key research themes include: High-dimensional time series analysis Random matrix theory applications Functional data smoothing techniques Non-Gaussian spatial field modeling Covariance structure inference His recent publications highlight advancements in spectral estimation, latent graph inference, and meta-learning frameworks in high-dimensional settings. He has also contributed to methodological improvements in GWAS analysis and nonautonomous dynamical systems modeling.

Javier de la FuenteView profile

Researcher

• Cognitive Aging
• Dementia
• Genetic Epidemiology
• +7 more

Javier de la Fuente is a Research Scientist in the Department of Psychology at the University of Texas at Austin, College of Liberal Arts. His work focuses on aging epidemiology, integrating genetics, epidemiology, and lifespan psychology to study cognitive decline and dementia. He holds a PhD from Universidad Autónoma de Madrid (summa cum laude, 2019), where he contributed to the EU-funded ATHLOS project on health trajectories. Postdoctoral training expanded his expertise to genomic methods for multivariate analyses of cognitive function and aging-related traits. Research interests include genetic determinants of cognitive aging, Alzheimer’s disease, and the interplay of non-cognitive skills with academic achievement. He collaborates with the WHO’s Information, Evidence, and Research Department and has published extensively on topics like genomic SEM, genetic architecture of skeletal forms, and mental health correlations. His work emphasizes multivariate statistical approaches and large-scale genomic studies. Key contributions include developing the Healthy Ageing Scale for global aging studies and advancing methodologies for estimating brain atrophy via MRI. His articles span cognitive neuroscience, genetic epidemiology, and public health, reflecting a multidisciplinary approach to understanding human aging and resilience.

Wai ChenView profile

Professor

• ADHD
• Neurodevelopmental Disorders
• Child and Adolescent Psychiatry
• +3 more

Professor Wai Chen is a leading academic and clinician in youth mental health and developmental neuropsychiatry, holding professorial roles at Curtin University (Medical School and enAble Institute) and adjunct positions at UWA, Notre Dame University, and Murdoch University. He specializes in ADHD, neurodevelopmental disorders, and mental health interventions, with over AUD$3 million in grants secured for projects like RAIDANCE and MYLO. His research spans emotional regulation, suicide prediction, and ADHD genetics. Education: PhD, King's College London BM (Medicine), University of Southampton M.Phil, University of Cambridge Research Interests: Focused on ADHD pathophysiology, emotional dysregulation, and innovative treatments. His work addresses clinical challenges in child psychiatry and contributes to global health policies via the Legatum Institute's Prosperity Index. Grants & Awards: Awarded BMA Medical Book Awards (2010) and cited in DSM-5-TR (2022). Active in grants targeting pediatric mental health, including NHMRC and Telethon funding. Advisory Roles: Member of Eunethydis and the HiTOP consortium. Served on WA's State Mental Health Research Strategy Advisory Group and ICA Taskforce. Labs/Teams: Leads interdisciplinary teams on ADHD, self-harm prediction (EXPAAND project), and digital mental health tools like MYLO. Collaborates internationally on genomic and clinical psychiatry studies.

Mirjam OostermanView profile

Associate Professor

• Parenting and Child Development
• Attachment Theory
• Maternal Mental Health
• +3 more

Mirjam Oosterman is an Associate Professor at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam (VU Amsterdam), with affiliations to the departments of Clinical Child and Family Studies, LEARN! (Child rearing), and APH (Mental Health). She specializes in parenting behaviors, child development, maternal mental health, and attachment theory. Her work contributes to UN Sustainable Development Goals related to quality education and good health. Her research focuses on topics such as intergenerational transmission of attachment, maternal stress and trauma, parenting self-efficacy, and the impact of birth experiences on child-parent relationships. Notable projects include the 'Stress- and Smoke Free Start of Life' study, exploring eHealth interventions for maternal stress reduction. She teaches courses like 'Ouderschap, Stress & Ontwikkeling' (Parenting, Stress & Development) and contributes to training programs for professionals assessing parent-child interactions. Oosterman has published over 120 peer-reviewed articles and supervised 11 PhD theses. Her work emphasizes practical tools for clinicians, such as validated rating scales for parental sensitivity. Awards include the 2008 Dissertation Award. She actively collaborates internationally, addressing issues like maternal PTSD, child motor coordination, and the effects of parental trauma on caregiving. Her research also bridges clinical and academic domains, with contributions to policy through initiatives like the EU COST Action 'TREASURE' on maternal perinatal stress. She balances teaching, research, and public engagement, including media contributions on foster care and parenting challenges.

• Maternal Health
• Infant Health
• Reproductive Health
• +3 more

Dr Pei-Ching Tseng is a Research Midwife at the Maternal and Child Health Research Centre and administrator of the Institute for Health Research Ethics Committee at the University of Bedfordshire. She holds a PhD from the Institute for Health Research, an MA in Midwifery from National Taipei University of Nursing and Health Science, and a BS in Nursing from Chang Jung Christian University. Her research focuses on maternal, infant, and reproductive health, particularly addressing disparities in healthcare access for ethnic minority populations. Her work includes systematic reviews and quantitative studies exploring antenatal care timing, neonatal outcomes, and postpartum exercise programs for pain management. Notable contributions include analyses of ethnic variations in preterm birth risks and late antenatal care initiation in socioeconomically deprived areas. Dr Tseng has presented at international conferences such as the European Public Health Conference and the World Congress on Public Health. Her research highlights systemic inequities in healthcare access and advocates for culturally sensitive interventions to improve outcomes for marginalized groups. Her professional roles involve ethics governance through the IHREC and advancing evidence-based practices in maternal and child health. Current projects include the Pregnancy Loss Research Network’s SunFLowEr Project.

Daniel K MroczekView profile

Professor

• Lifespan Personality Development
• Personality and Physical Health
• Mortality Risk
• +6 more

Daniel K Mroczek is a Professor at Northwestern University , with dual appointments in the Feinberg School of Medicine (Medical Social Sciences, Chief of Determinants of Health) and the Weinberg College of Arts and Sciences (Psychology). His career spans Loyola University Chicago (BS, 1987), Boston University (PhD in developmental psychology, 1992), and a postdoc in epidemiology at the University of Michigan (1995). Education: BS in Psychology, PhD in Developmental Psychology Professional Journey: 10 years as psychology professor at Fordham University, Berners-Hanley Chair of Gerontology at Purdue University (Human Development & Family Studies), and current roles at Northwestern. Research Focus Dr. Mroczek's work centers on lifespan personality development , examining trait stability, change, and trajectory models. He investigates how personality and its evolution impact physical health, mortality, and well-being. Methodologically, he specializes in multilevel modeling , survival analysis , and integrative data analysis of secondary datasets. Scientific Contributions His recent studies highlight cross-cultural health disparities, personality-driven mortality risks, and behavioral economics in parenting programs. Funded by the National Institute on Aging , his research bridges psychology, aging, and public health. Awards & Leadership Elected to the Academy of Behavioral Medicine Research (2014) Chair of ARP Committee on Advocacy (2019–present) Scientific Advisory Board Chair at University of Zurich Institute on Healthy Aging (2019) Consulting Editor for four leading journals since 2002 Collaborative Networks He is affiliated with multiple institutes: Institute for Public Health and Medicine , Osher Center for Integrative Health , NUCATS , and Institute for Artificial Intelligence in Medicine .

Georgios HalkiasView profile

Associate Professor

• Consumer Psychology
• Advertising
• Global Branding
• +5 more

Georgios Halkias is Associate Professor at Copenhagen Business School's Department of Marketing and Chair of the Consumer Research Cluster. Previously at Technical University of Munich and University of Vienna, he holds dual PhDs from University of Vienna and Athens University of Economics and Business, an MSc from Warwick Business School, and BSc from University of Piraeus. Research interests center on consumer psychology with focus areas including: Consumer schemata and stereotyping mechanisms Social inequality and discrimination in consumption Information processing and decision heuristics Cross-cultural branding and advertising effectiveness Publications demonstrate strong emphasis on experimental methods in international marketing contexts, particularly exploring stereotype formation, gender dynamics in consumption, and cross-cultural consumer behavior. Recent work shows growing focus on societal well-being and ethical consumption patterns. Awards & Honors: 2022 CBS Research Contribution Award 2020 Emerald Literati Outstanding Paper 2019 Emerald Literati Outstanding Reviewer 2017 University of Vienna Teaching Award Multiple EMAC doctoral paper nominations Supervises BSc, MSc and PhD theses in consumer behavior and has secured research funding from European Commission HORIZON programs. Teaches experimental methods, multivariate statistics, and international consumer behavior.

Jin TianView profile

Professor

• Causal Inference
• Machine Learning
• Artificial Intelligence
• +3 more

Jin Tian is a Professor affiliated with the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), having previously held a Graduate Faculty position at Iowa State University. His research focuses on causal inference, machine learning, and artificial intelligence. Dr. Tian's work emphasizes causal discovery, causal effect identification, adversarial robustness in machine learning, and graphical models. He holds a Ph.D. in Computer Science from UCLA, an M.S. in Physics from UCLA, and a B.S. in Physics from Tsinghua University. His research interests span causal inference frameworks, including handling hidden variables and developing algorithms for causal model testing. He also explores adversarial machine learning, regularization techniques for robustness, and large-scale data systems like AnnotatedTables. His contributions to causal effect estimation via instrumental variables and combining experimental results highlight his interdisciplinary approach. Recent work includes advancements in polynomial-delay algorithms for causal model testing, unified covariate adjustment methods, and vulnerability-aware adversarial training. His research bridges theoretical foundations (e.g., graph-based complexity) with practical applications in machine learning security and causal reasoning.

Sven HoffmannView profile

Researcher

• Neurophysiology
• Cognitive Control
• EEG Analysis
• +3 more

Sven Hoffmann is a researcher at the Institute of Psychology, Section Performance Psychology at German Sport University Cologne. His work focuses on neurophysiological mechanisms underlying cognitive control, error processing, and executive functions. He specializes in EEG analysis techniques including independent component analysis (ICA) and event-related potentials. Research Interests: Neurophysiological correlates of error processing Cognitive control mechanisms in aging populations EEG methodology development Psychophysiological interactions between attention and response monitoring Notable Projects: NEUROANALOGUE (2018-2022): Investigating neurocognitive effects of physical activity in isolation Carbohydrate mouth rinsing effects on cognitive performance He has received the Brain Products Young Scientist Award (2014) and serves as editor for NeuroImage and Neuroscience Letters . His research integrates multivariate statistics, machine learning, and Python/GNU R programming for data analysis.

Varsha WarrierView profile

Lecturer

• Forensic Anthropology
• Age Estimation
• Biological Sex Determination
• +2 more

Varsha Warrier is a Lecturer in Forensic Science at the College of Science and Engineering. She specializes in developing and validating forensic anthropology methods for age estimation and biological sex determination using computed tomography and machine learning approaches, with particular focus on Indian and Iberian populations. Her primary research domains include: Forensic anthropology techniques validation Population-specific skeletal standards Bayesian statistical modeling Machine learning applications in forensics Warrier's publications demonstrate extensive expertise in CT-based morphological analysis for forensic identification. Her 2022-2024 research establishes novel population standards for Indian demographics and enhances the reliability of existing methods through statistical refinement. Notable methodological contributions: Validation of auricular surface aging techniques Machine learning models for iliac crest analysis Meta-analysis of pubic symphysis methods Acetabular dimorphism studies

Hyeri HongView profile

Assistant Professor

• Structural Equation Modeling
• Bayesian Statistics
• Generalizability Theory
• +3 more

Hyeri Hong is an Assistant Professor in the Department of Curriculum and Instruction at the Kremen School of Education and Human Development, California State University, Fresno. She also serves as a core faculty member in the Educational Leadership Doctoral Program and co-chair of AERA Division D’s Section 1 (Measurement, Psychometrics, and Assessment). Her expertise includes structural equation modeling, Bayesian statistics, and generalizability theory, with a focus on equity-driven projects such as empowering Latinx families, evaluating educational programs, and promoting equity in statistics education. Education: Ph.D. in Educational Measurement and Statistics, University of Iowa MA in Educational Policy and Leadership Studies, University of Iowa BA in English Education, Korea University Research Interests: Structural Equation Modeling (SEM) Bayesian Estimation Generalizability Theory Network Analysis Minority Students' Learning Educational Equity Grants & Funding: Secured $115,000+ in grants as PI/co-PI (e.g., Steve’s Scholars Project, Latinx Parental Support) External evaluator for the $1.2M Project ACCESS grant Awards: Walter G. Klopfer Award (2024) Outstanding Faculty Publication (2024) APA Assessment Community Student Poster Award (2022) Teaching: Courses include Educational Statistics, Advanced Quantitative Methods, and Research in Education (online/in-person).

• Deep Learning
• Computer Vision
• Acoustic Signal Analysis
• +5 more

Prof. Dr.-Ing. Christian Bergler is a Professor at the Department of Electrical Engineering, Media and Computer Science at Ostbayerische Technische Hochschule Amberg-Weiden. His academic focus lies in Deep Learning , with applications spanning domains like Computer Vision, Acoustic Analysis, and Natural Language Processing. He holds a summa cum laude doctoral degree from Friedrich-Alexander-University Erlangen-Nürnberg (FAU), specializing in Deep Learning Applied to Animal Linguistics. Research & Teaching Leading research on Deep Learning paradigms including Transfer Learning, Federated Learning, and Representation Learning. Develops tools for animal communication analysis (e.g., ORCA-SPOT, ANIMAL-CLEAN) and medical signal processing. Teaches advanced modules in Artificial Intelligence, Data Engineering, and Natural Language Processing. Awards & Contributions Recipient of highest academic honor: summa cum laude doctoral thesis on Animal Linguistics. Co-founded OrasTEC GmbH , a startup applying AI to industrial and service sectors. Member of the University Council and Senate at OTH Amberg-Weiden. Key Projects Pioneered frameworks for automated killer whale sound detection/classification (ORCA-SPOT/ORCA-SLANG) and contributed to open-source tools like ANIMAL-CLEAN for signal enhancement. His work has been featured on German television (3Sat/TerraX) and published in journals like Scientific Reports and Ecological Informatics .