جست‌وجوی استاد و پژوهشگر

• Longitudinal Modeling
• Psychometric Modeling
• Developmental Cognitive Neuroscience
• +۳ مورد دیگر

Ethan McCormick is an Assistant Professor in the School of Education at the University of Delaware, specializing in longitudinal and psychometric modeling. He holds a Ph.D. in Psychology from the University of North Carolina at Chapel Hill (2020) and a B.S. in Biochemistry from the University of Arkansas (2013). His research focuses on integrating short-term and long-term longitudinal models to study behavioral and cognitive changes across the lifespan, with recent emphasis on educational data analysis and nonlinear random effects modeling. He is a Resident Faculty member of the University of Delaware’s Data Science Institute and previously served as an Assistant Professor of Methodology & Statistics at Leiden University (2022–2024). Dr. McCormick’s grants include the NWO Veni SSH Grant (2024–2027) for tracking educational outcomes via statistical modeling and the Jacobs Foundation Fellowship (2024–2026) for studying complex growth in math ability. His work bridges methodological rigor with applied neuroscience, examining brain-behavior relationships in developmental contexts through large-scale collaborations. Professional Experience : Assistant Professor, University of Delaware (2024–present); Assistant Professor, Leiden University (2022–2024) Key Research Themes : Longitudinal modeling, time series analysis, psychometrics, developmental cognitive neuroscience Awards : NWO Veni SSH Grant, Jacobs Foundation Fellowship His recent articles emphasize improving time-series methodologies, addressing limitations of two-time-point studies, and advancing models for asymmetric temporal dynamics. He collaborates internationally on projects simulating developmental datasets and analyzing neural correlates of behavior.

• Applied Conversational AI
• Human-Computer Interaction (HCI)
• Web Systems and Services
• +۴ مورد دیگر

Dr. Jue (Grace) Xie is a Lecturer in the Department of Human Centred Computing at Monash University's Faculty of Information Technology. She is also a Senior Software Engineer and Research Fellow at Action Lab, with over 15 years of experience in applied research spanning software architectures, web systems, consumer health informatics, and conversational AI. Grace holds a PhD from Monash Faculty of Information Technology (2012) and has contributed to diverse interdisciplinary projects, including collaborations with Microsoft Research Asia and Monash research centers. Her teaching roles include Chief Examiner for units like FIT5183 Mobile and Distributed Computing Systems and Lecturer for Programming for Distributed Systems and Service-Oriented Computing . Research Interests Applied Conversational AI Human-Computer Interaction (HCI) Web Systems & Social Networks Knowledge Engineering Recent publications focus on AI-driven healthcare interventions, mental health support via chatbots, and stakeholder-inclusive design in aged care. Her work aligns with UN Sustainable Development Goals 3 (Good Health) and 9 (Innovation). Awards include the Future Women Leaders Conference 2019 . She is a Fellow of the Computer Society (IEEE) and the Association for Information Systems .

Kushal Deyمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Machine Learning
• +۵ مورد دیگر

Kushal Dey, PhD, is an Assistant Professor in the Computational and Systems Biology Program at Memorial Sloan Kettering Cancer Center (MSKCC). His research develops machine learning models that integrate genetic, genomic, and epigenomic data (e.g., RNA-seq, ChIP-seq, Perturb-seq, spatial transcriptomics) to decode the causal functional architecture of heritable complex diseases, including immune-related disorders like Alzheimer’s and inflammatory bowel disease, as well as heritable cancers such as breast and prostate cancer.

Shakhawat Hossainمشاهده پروفایل

استاد

• Statistical Methodology
• Longitudinal Data Analysis
• Survival Analysis
• +۴ مورد دیگر

Dr. Shakhawat Hossain is a Professor of Statistics at the University of Winnipeg, serving as Chair starting July 2025. He holds adjunct positions at the University of Manitoba and University of Regina. His academic journey includes a PhD from the University of Windsor (2008), postdoctoral training at the University of Alberta's School of Public Health (2008–2010), and prior faculty roles at Alabama A & M University. He specializes in advanced statistical methodologies with applications in health sciences and epidemiology. Dr. Hossain's education includes: Ph.D. in Statistics, University of Windsor M.Sc. in Statistics, University of Alberta M.Sc. in Mathematics, Jahangirnagar University, Bangladesh B.Sc. (Hons.) in Mathematics, Jahangirnagar University, Bangladesh His research focuses on shrinkage estimation techniques , longitudinal data analysis , survival analysis , and health services research . He actively applies these methods to study dengue transmission dynamics, neuroimaging correlates of developmental disorders, and clinical outcomes in pediatric populations. His work bridges theoretical statistical innovation with real-world public health challenges. Dr. Hossain currently holds an NSERC Discovery Grant supporting student research. His 2023-2024 publications emphasize spatial epidemiology, advanced survival models, and dengue fever dynamics. He serves as Associate Editor of the Journal of Statistical Computation and Simulation . His advisory and grant activities include mentoring students in statistical modeling and securing funding for interdisciplinary health projects. While specific lab affiliations are not explicitly stated, his collaborations span departments in statistics, public health, and biomedical sciences.

Jon Olav Vikمشاهده پروفایل

استاد

• Systems Biology
• Computational Biology
• Aquaculture
• +۷ مورد دیگر

Jon Olav Vik is a Professor at the Norwegian University of Life Sciences (NMBU), affiliated with the Department of Mathematical Sciences and Technology within the Faculty of Science and Technology. He leads the DigiSal project—"Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture"—funded under the Research Council of Norway’s Digital Life initiative. He is also a lead modeller in the GenoSysFat project, which aims to enhance omega-3 content in farmed salmon through integrated genomics and systems biology approaches. His research spans systems biology , computational physiology , genotype-phenotype modeling , and ecological dynamics . He works at the intersection of biology, mathematics, and computer programming, developing models to understand how genetics, nutrition, and environment interact in fish and ecological systems. His pedagogical focus includes biostatistics and programming in R, and he teaches courses such as STIN100, STIN300, and STAT100. The 15 most recent publications reflect a consistent focus on systems-level understanding in biology, particularly in salmon aquaculture, metabolic regulation, and genotype-phenotype relationships. These works appear in high-impact journals like Nature , Science , PLOS Computational Biology , and Journal of The Royal Society Interface , demonstrating interdisciplinary reach across computational biology, genomics, ecology, and biostatistics. Key themes include metabolic modeling, microbiome stability, lipidome remodeling, and sensitivity analysis in dynamic models. Jon Olav Vik has contributed to major collaborative efforts including the Infrastructure for Systems Biology Europe (ISBE) , where he helped develop frameworks for "modelling as a service." He has also authored book chapters and technical deliverables on systems biology and modeling practices. He actively supervises students and invites master’s thesis candidates with interests in quantitative biology. While no specific awards are listed, his leadership in national and international research projects underscores his scientific impact. His work supports both fundamental science and sustainable aquaculture innovation.

• Explainable AI
• Human-AI Interaction
• Machine Learning
• +۷ مورد دیگر

Andreas Holzinger is a Professor at Graz University of Technology, with additional affiliations at Medical University Graz and University of Natural Resources and Life Sciences Vienna in Austria. He is recognized as an IFIP Fellow (2021) for his significant contributions to information processing and computer science. His work spans multiple institutions across Europe, with notable collaborations extending to the University of Alberta in Canada. Professor Holzinger's research focuses on Human-Centered AI, Explainable AI (XAI), and their practical applications across diverse domains. His work bridges theoretical AI advancements with real-world implementations in healthcare, forestry, and human-robot interaction. He has pioneered approaches in counterfactual explanations, graph neural networks, and human-in-the-loop systems that emphasize transparency and trustworthiness in AI decision-making processes. His recent publications demonstrate a strong trend toward integrating large language models with traditional AI systems while maintaining explainability. Holzinger's work consistently emphasizes the human element in AI systems, ensuring that technological advancements serve human needs rather than obscuring decision processes. His research in medical AI, smart forestry, and agricultural applications shows a commitment to solving practical problems with human-centered technological solutions. Scientific Awards: IFIP Fellow (2021) Professor Holzinger has been instrumental in establishing design guidelines for explainable AI systems, particularly through his work on post-hoc versus ante-hoc explanations. His research on Kandinsky Patterns has provided valuable experimental frameworks for pattern analysis and machine intelligence. He has secured significant research funding for projects bridging AI with practical applications in healthcare and environmental monitoring. His leadership extends to the organization of major conferences and workshops, including the CD-MAKE conference series, where he has fostered interdisciplinary collaboration between AI researchers and domain experts. His work on the CLARUS platform demonstrates practical implementations of interactive explainable AI for medical applications.

• Psychometrics
• Network Theory
• Psychopathology
• +۲ مورد دیگر

Denny Borsboom is Professor in the Psychological Methods Group at the University of Amsterdam, where he directs the Social and Behavioural Data Science Centre. His research program develops network theories of psychopathology, novel psychometric methods, and formalized psychological theory through initiatives like the Psychosystems Project and Theory Methods Lab. Research focuses on conceptual foundations of measurement, complex systems approaches to mental disorders, and computational modeling of psychological phenomena. Recent publications advance network psychometrics, validity theory, and integration of intra/interindividual dynamics. Articles demonstrate strong methodological innovation through computational psychiatry applications, network theory development, and philosophical engagement with psychological foundations. Recurring themes include psychopathological networks, measurement realism, system transitions, and collaborative theory-building frameworks.

• Reproductive Toxicology
• Maternal and Child Health
• Endocrine Disruption
• +۵ مورد دیگر

Sarah Bakkær Munk Andreasen is a Researcher at the Institute for Health Services Research within the Faculty of Health Sciences at the University of Southern Denmark . Her work focuses on Reproductive Toxicology , Maternal and Child Health , and Environmental Medicine , with a particular emphasis on the effects of maternal exposure to medications and chemicals on offspring development. Research Areas : Endocrine disruption, pharmacological effects on developmental biology, mental health in pediatric populations. Key Collaborations : Odense Child Cohort, focusing on longitudinal studies of childhood development. Her publications highlight associations between maternal use of antifungal medications and paracetamol with altered steroid hormone levels and anogenital distance in offspring, as well as the impact of the Covid-19 pandemic on children's mental health. She primarily employs epidemiological and cohort-based methodologies. Labs/Teams : Active contributor to the Odense Child Cohort project, a population-based birth cohort study.

Perry Hystadمشاهده پروفایل

استاد

• Environmental Exposure Assessment
• Epidemiology
• Air Pollution
• +۵ مورد دیگر

Perry Hystad, PhD is a Professor of Environmental and Occupational Health at Oregon State University (OSU), leading the Spatial Health Lab. He holds affiliations with the School of Nutrition and Public Health and the College of Earth, Ocean, and Atmospheric Sciences. His research focuses on spatial epidemiology and environmental exposure assessment, particularly air pollution, built environments, and climate resilience. He earned his MSc in Geography from the University of Victoria and PhD in Epidemiology from the University of British Columbia. Key achievements include the NIH Early Independence Award for the PURE-AIR global cohort study examining air pollution's cardiopulmonary impacts across 21 countries. Notable contributions include linking greenspace exposure to improved birth outcomes and cardiovascular health, and analyzing traffic pollution’s effects on infant health. Recent recognition includes being named a 2024 Top Scholar by ScholarGPS (top 0.5% globally). Collaborations span OSU’s Environmental Health Sciences Center, Applied Economics, and interdisciplinary teams addressing climate change health impacts. Research integrates geospatial tools, machine learning, and crowd-sourced data to advance environmental health equity. Current projects include studying built environment influences on birth outcomes and highway reclamation’s population health effects.

Kale Monkمشاهده پروفایل

دانشیار

• Romantic relationship processes
• Military couples mental health
• Relationship instability
• +۳ مورد دیگر

Kale Monk is an Associate Professor and State Specialist in Couple and Family Relationships at the University of Missouri's College of Education & Human Development , within the Department of Human Development & Family Science . His work focuses on relationship quality across life transitions, particularly for military couples and marginalized groups. He holds a PhD from the University of Illinois (2017) and an MS from Kansas State University (2013). Research interests include: Relational instability during transitions (e.g., marriage, deployment) Military/veteran couples' mental health Engaged scholarship and translational research Racial/ethnic disparities in relationship dynamics His recent work explores pandemic effects on relationships, deployment-reintegration cycles, and public-facing interventions. He collaborates with organizations like Relevate and Focus on Kids to bridge academic research with community needs. Affiliations include the National Council of Family Relations and International Association for Relationship Research. He leads initiatives in relationship education and policy advocacy, emphasizing evidence-based practices for vulnerable populations. Current projects involve co-parent education programs, veteran family support, and culturally responsive relationship maintenance strategies. His research combines qualitative and quantitative methods to address real-world challenges in family dynamics.

Mostafijur Rahmanمشاهده پروفایل

استادیار

• Environmental Epidemiology
• Air Pollution
• Climate Change and Health
• +۲ مورد دیگر

Mostafijur Rahman is an Assistant Professor of Environmental Health Sciences at Tulane University's School of Public Health and Tropical Medicine. His research leverages large environmental health datasets to study climate impacts on neurodevelopment, mental health, and cardiopulmonary outcomes. Research focuses on: Air pollution impacts on autism spectrum disorders Health effects of extreme heat and air pollution co-exposures Environmental justice and health disparities Climate vulnerability in urban populations Recent publications analyze prenatal exposures to particulate matter, mortality risks from extreme temperatures, and adaptation strategies in vulnerable communities. Methodological strengths include advanced statistical modeling of chemical mixtures and mixed-methods approaches. Awards and honors: Emerging Investigator designation by AJRCCM (2022) Best Poster Award, NYC Epidemiology Forum (2019) Dr. Morton Lippmann Scholarship, AIHA (2018)

Giehae Choiمشاهده پروفایل

استادیار

• Environmental Epidemiology
• Reproductive Epidemiology
• Perinatal Epidemiology
• +۱۲ مورد دیگر

Giehae Choi, PhD, MPH, is an Assistant Professor at the Johns Hopkins Bloomberg School of Public Health, with primary affiliation in the Department of Environmental Health and Engineering and joint affiliation in Epidemiology. She is also a key investigator in the Environmental Influences on Child Health Outcomes (ECHO) Data Analysis Center, where she contributes to large-scale research on children's environmental health. Her work bridges environmental exposure science and public health policy, focusing on vulnerable life stages such as pregnancy and early childhood. Education: PhD, University of North Carolina at Chapel Hill, 2020 MPH, not specified in text Dr. Choi's research centers on environmental epidemiology, particularly reproductive, perinatal, and pediatric epidemiology. Her work investigates the health impacts of chemical exposures—including PFAS, metals, phthalates, and organophosphate esters—on neurodevelopmental outcomes in children. She employs advanced statistical methods to analyze complex cohort data and simulate public health interventions. Her research also explores the modifying role of nutrition in chemical toxicity, aiming to inform prevention strategies. The recent trend in her publications reveals a strong emphasis on prenatal environmental exposures and child neurodevelopment. Her studies frequently use data from the Boston Birth Cohort and the Norwegian Mother, Father and Child Cohort Study (MoBa), applying mixture analysis and epigenetic methods to understand multifactorial risks. Topics include ADHD, executive function, fetal growth, and DNA methylation, all within the broader context of environmental justice and policy translation. Scientific Awards: SER Lilienfeld Postdoctoral Prize Paper Award (2023) SER Annual Meeting Best Poster Award (2021) NIEHS Extramural Paper of the Month (May 2021) NIEHS Extramural Paper of the Year (2021) Dr. Choi leads an NIH-funded K99/R00 project on maternal chemical exposures and offspring neurodevelopment, with a focus on nutritional modifiers and intervention simulation. She collaborates extensively across institutions and is involved in major consortia such as ECHO. While specific advisees are not listed, her role as a principal investigator suggests mentorship of graduate students and postdoctoral researchers. She is embedded in research teams analyzing metabolomic, epigenetic, and behavioral data to uncover environmental determinants of child health.

Boris Gutmanمشاهده پروفایل

استادیار

• Medical image analysis
• Neuroimaging
• Imaging biomarkers of neurodegenerative disease
• +۴ مورد دیگر

Boris Gutman is an Assistant Professor of Biomedical Engineering at Illinois Institute of Technology , affiliated with the Armour College of Engineering . He holds a Ph.D. and B.S. in Biomedical Engineering and Applied Mathematics respectively from the University of California, Los Angeles (UCLA) .

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

• Prostate Cancer
• Cancer Biology
• Translational Research
• +۷ مورد دیگر

Professor Bill Watson is a Full Professor of Cancer Biology at the University College Dublin, School of Medicine , where he serves as Head of Pathology and Director of the Biomedical Health and Life Science BSc program. With a PhD in Biochemistry (University College Cork, 1995) and post-doctoral training at the University of Toronto, he has led translational research in prostate cancer since returning to UCD in 1997. His work focuses on biomarker discovery, therapy resistance mechanisms, and clinical decision tools through the Prostate Cancer Research Consortium and iPROSPECT collaborations. Education: BSc (University College Dublin), PhD (Royal College of Surgeons in Ireland), Post-Doctoral Research Fellow (Toronto General Hospital) His research integrates genomic, epigenetic, and proteomic biomarkers to improve prostate cancer stratification and treatment selection, as demonstrated in the Movember Global Action Plan and ToPCaP initiatives. Recent studies include validating a six-gene MCRS signature for biopsy-based prognostics (2025) and developing beta mixture models for DNA methylation analysis (2024). Scientific Awards include the Alton Prize (2000), Presidents Awards for Teaching (2000, 1998), and Young Investigator Award (1995). He has received grants such as the UCD Equip Scheme (2021) and Molecular Therapeutics for Cancer (2009-2015) . Professional Leadership: Irish Association for Cancer Research (President 2014-2017), Cancer Trials Ireland (Chair of Translational DSSG 2014-present), and Royal Academy of Medicine in Ireland (Fellow since 2006)