جستجوی استاد راهنمای دانشگاهی

Brett Welchمشاهده پروفایل

استادیار

• Psychology
• Communication Disorders
• Voice Disorders
• +۴ مورد دیگر

Brett Welch is an Assistant Professor and Biostatistician at the University of Houston with dual appointments in the Department of Communication Sciences and Disorders and the Department of Psychological, Health, and Learning Sciences within the College of Liberal Arts and Social Sciences. Dr. Welch's educational background includes: Ph.D. in Communication Science and Disorders from the University of Pittsburgh M.S. in Communication Sciences and Disorders from the University of Texas Rio Grande Valley B.S. in Linguistics from the University of Texas at Austin B.A. in Communication Sciences and Disorders – Speech-Language Pathology from the University of Texas at Austin Dr. Welch's research sits at the intersection of psychology and communication. He seeks to understand how psychological processes like personality and psychopathology influence communication behaviors, and conversely, how communication behaviors impact psycho-social well-being. His work leverages quantitative methods, cross-sectional studies, and intensive longitudinal designs to interrogate the dynamic interplay between psychological processes and voice and communication behaviors. This research aims to advance understanding of functional voice disorders, improve assessment of psychopathology, and promote well-being for people with and without communication disorders. Dr. Welch has received several notable awards: Honors Council of Academic Programs in Communication Sciences and Disorders PhD Scholarship (2024) New Century Scholars Doctoral Scholarship from the American Speech-Language-Hearing Foundation (2023) New Investigator Forum from The Voice Foundation (2021) As an academic, Dr. Welch serves as an ad hoc peer reviewer for various scientific journals in speech-language pathology and psychology. He is also a mentor in the Students to Empowered Professional Mentoring Program and a member of the American Speech-Language-Hearing Association. His teaching includes Special Problems: Introduction to Quantitative Modeling (COMD 8398). Dr. Welch maintains an active research program focused on the intersection of psychology and communication, with particular emphasis on voice disorders and their psychological correlates. His work combines biostatistical approaches with clinical insights to advance understanding in this specialized field.

Zach Shahnمشاهده پروفایل

استادیار

• Causal Inference
• Healthcare Data Analysis
• Critical Care Applications
• +۳ مورد دیگر

Zach Shahn is an Assistant Professor in the Department of Epidemiology and Biostatistics at the CUNY School of Public Health. He holds a PhD in Statistics from Columbia University and a BA in Mathematics from Stanford University. His research focuses on causal inference methods applied to healthcare data, particularly time-varying treatment effects and critical care applications. He has conducted postdoctoral work at Harvard School of Public Health and previously worked at IBM Research in Healthcare and Life Sciences. Education: PhD in Statistics and Probability, Columbia University BA in Mathematics, Stanford University Research interests include developing causal inference frameworks for evaluating treatment efficacy in dynamic healthcare settings, with a focus on critical care outcomes and methodological innovations. Recent work explores applications of causal diagrams, instrumental variables, and machine learning in healthcare decision-making. His studies often involve large-scale healthcare datasets to assess interventions' real-world impacts. Key trends in his articles include advancements in causal effect estimation under complex treatment regimes, bias analysis in observational studies, and methodological contributions to difference-in-differences and N-of-1 trial designs. His work bridges statistical theory with practical healthcare challenges, emphasizing reproducibility and policy relevance. No scientific awards are listed, though his contributions to causal inference methodologies are notable in academic circles. He has advised on healthcare data projects and published extensively without explicitly listed grants. His professional network includes collaborations with institutions like Harvard and IBM. He is affiliated with CUNY's public health programs and actively engages in academic discourse via Twitter and LinkedIn. His lab or team details are not explicitly mentioned in available materials.

Qimin Liuمشاهده پروفایل

استادیار

• Psychological Sciences
• Quantitative Methods
• Clinical Science
• +۴ مورد دیگر

Qimin Liu is an Assistant Professor at Boston University, serving as Lab Director of the Quantitative Psychopathology Laboratory. He holds a PhD in Psychological Sciences from Vanderbilt University with specializations in Clinical Science and Quantitative Methods. His research focuses on emotional disturbances across development, statistical methodology development, and health equity with an emphasis on intersectional marginalization. He has expertise in analyzing intensive longitudinal data and has published extensively on topics like irritability, suicidality, and mental health disparities among sexual and gender minority populations. Dr. Liu’s work frequently integrates advanced statistical techniques such as latent variable modeling, network analysis, and machine learning. His recent studies explore the temporal dynamics of affect, the impact of stigma on mental health, and the role of childhood adversity in psychiatric outcomes. Notable contributions include developing methods for analyzing zero-inflated longitudinal data and creating algorithms for digital phenotyping of mood disorders through mobile device usage patterns. His scholarship emphasizes bridging clinical phenomena with rigorous quantitative approaches, addressing gaps in understanding how social determinants and individual differences shape mental health trajectories. He has collaborated on large-scale datasets like the Collaborative Psychiatric Epidemiological Surveys and contributed to interdisciplinary research on public health outcomes among aging sexual minority men. Dr. Liu’s methodological innovations include the DACF framework for ceiling/floor effect data and the lamme package for log-analytic multiplicative effects modeling. He actively publishes in high-impact journals such as Psychological Methods and Journal of Abnormal Psychology , focusing on both empirical findings and statistical best practices.

Rick Hoyleمشاهده پروفایل

استاد

• Self-Regulation
• Adolescent Development
• Goal Pursuit
• +۵ مورد دیگر

Rick Hoyle is a Professor of Psychology and Neuroscience at Duke University, where he serves as Associate Chair of the Department of Psychology and Neuroscience. He is also a Faculty Network Member of the Duke Institute for Brain Sciences. His academic career spans decades, with significant contributions to understanding self-regulation and adolescent development. Dr. Hoyle earned his B.A. from Appalachian State University (1983), followed by an M.A. (1986) and Ph.D. (1988) from the University of North Carolina, Chapel Hill. He progressed from Assistant to Associate to Full Professor at the University of Kentucky from 1989 to 2003 before joining Duke University. His research focuses on how adolescents and emerging adults manage goal pursuit through self-regulation, taking a broad view that accounts for personality, environment, cognition, emotion, and social influences. He employs longitudinal methods with repeated assessments, sometimes spanning years with data collection multiple times per year, or intensive studies with assessments several times daily. His lab develops innovative measurement tools including self-report measures of self-control and grit, as well as unobtrusive approaches using mobile phones and wearable devices to track goal pursuit in natural settings. His recent publications reveal a strong focus on self-regulation in digital contexts, adolescent substance use, socioeconomic influences on development, and innovative measurement approaches. His work increasingly integrates technology (social media analysis, wearable devices) with traditional psychological research methods to understand real-world behavior. Fellow, Association for Psychological Science (2013) Dr. Hoyle has secured numerous research grants totaling millions of dollars, including the current Real-Time and Randomized Tests of Social Media and Mental Health Links in Early Adolescence (2024-2029), NCCU Duke - Substance Use Research & Education (2024-2029), and Mid-Life Health Inequalities in the Rural South: Risk and Resilience (2023-2028). His grant portfolio demonstrates sustained funding for research on adolescent development, substance use, self-regulation, and health disparities. He teaches advanced courses including Applied Structural Equation Modeling and Psychology and Neuroscience Grant Writing, mentoring the next generation of researchers in quantitative methods and research design. His work through the Center for the Study of Adolescent Risk and Resilience (2008-2025) has established a significant research infrastructure for longitudinal studies of adolescent development. Current projects examine social media effects on mental health, substance use patterns, and the impact of environmental factors on adolescent well-being using innovative digital tracking methods.

Daniel J. Bauerمشاهده پروفایل

استاد

• Quantitative Psychology
• Latent Variable Models
• Developmental Psychopathology
• +۶ مورد دیگر

Dr. Daniel J. Bauer is a Professor and Director of the Quantitative Psychology Program and L.L. Thurstone Psychometric Laboratory at the University of North Carolina at Chapel Hill. His research focuses on advancing quantitative modeling techniques for studying negative social behaviors, health outcomes, and psychopathology, with expertise in generalized and nonlinear latent variable models, including multilevel models, structural equation models, and mixture models. His work emphasizes methodological innovations such as Bayesian regularization, measurement invariance evaluation, and the integration of deep learning with psychometrics. Bauer advises doctoral students in quantitative psychology and collaborates with developmental psychology programs. He leads the Thurstone Laboratory, one of the oldest quantitative psychology training programs in the U.S., emphasizing rigorous methodological training and applications in behavioral sciences. Bauer’s research trends span computational advancements in latent variable analysis, regularization for bias detection, and dynamic modeling of developmental processes. His advising includes over a dozen doctoral students now in academia and industry roles. He contributes to labs and initiatives like the Center for Developmental Science, advancing interdisciplinary research in psychological measurement and intervention evaluation.

• Breast Cancer Prevention
• Spatiotemporal Disease Modelling
• Health Economics
• +۳ مورد دیگر

Dr. Jannah Baker is a Research Fellow at the Sydney School of Public Health, University of Sydney. She holds a PhD in Statistics specializing in Bayesian spatiotemporal modelling of chronic diseases, alongside dual postgraduate diplomas in Public Health and Statistics. Her clinical background includes five years as a practicing physician. Her research focuses on cancer prevention (breast, endometrial, melanoma), spatiotemporal disease modeling, health economics, and clinical trial design. She has led projects on sepsis detection systems, diabetes management, and surgical outcomes analysis. Notable contributions include a seminal systematic review on fertility-sparing endometrial cancer treatments referenced in international guidelines. Jannah has attracted $6M+ in collaborative funding and oversees grants such as the 2023 NHMRC-funded ROADMAP trial and a Department of Health-funded study on pediatric sepsis management. Her work spans 50+ peer-reviewed articles across journals like Journal of Medical Internet Research and PLOS One . Professional activities include clinical trials statistics, health economics analysis, and implementation science lectures. She has mentored multiple research teams and maintains an ORCID profile (0000-0002-2208-6584).

Tammy Englishمشاهده پروفایل

دانشیار

• Emotion Regulation
• Social Psychology
• Personality Psychology
• +۱۲ مورد دیگر

Tammy English is an Associate Professor in the Department of Psychological & Brain Sciences at Washington University in St. Louis, where she leads the Emotion and Relationships Laboratory. Her research investigates how individuals regulate emotions in real-world social contexts, with a focus on authenticity, interpersonal dynamics, and well-being across the lifespan. PhD, University of California, Berkeley MA, University of California, Berkeley BA, Swarthmore College Her research interests span emotion regulation , social psychology , affective science , interpersonal relationships , and developmental psychology , with increasing emphasis on aging, cognitive factors, and diversity in educational contexts. She employs intensive longitudinal methods such as experience sampling and ambulatory assessment to capture emotional dynamics in daily life. The most recent publications highlight trends in emotion regulation across adulthood , particularly how cognitive abilities, authenticity, and situational context influence regulatory success. Her work explores both intrapersonal and interpersonal emotion regulation, including its role in romantic relationships, intergroup interactions, and mental health conditions like depression. There is a strong methodological focus on ecological validity, momentary assessment, and distinguishing adaptive from maladaptive regulation. APS Fellow (2022) Tenured faculty (2019) Recipient of multiple NIA grants, including R01AG070139 Mentor to award-winning students (ExpiWell Dissertation Award, SPSP Heritage Award) Dr. English has advised numerous graduate students and postdoctoral researchers, including Tabea Springstein and Isidro Landa, and has secured significant grant funding from the National Institute on Aging to study the neural and motivational underpinnings of emotion regulation across the lifespan. Her lab collaborates widely, including with the Emotion and Mental Health Lab, and presents regularly at premier conferences such as the Society for Affective Science and the Association for Psychological Science. The Emotion and Relationships Lab conducts cutting-edge research on how people manage emotions in social contexts across adulthood, with special attention to aging, cognitive health, and educational equity. The lab uses mobile sensing, experience sampling, and experimental designs to study emotion regulation in real time and real-world settings.

• Epidemiology of Birth Defects
• Gene-Environment Interactions in Perinatal Health
• Nutrition and Reproductive Outcomes
• +۴ مورد دیگر

Gary M. Shaw is the Rosemarie Hess Professor and Professor (Research) at Stanford University , with courtesy appointments in the Department of Epidemiology and Population Health and Department of Obstetrics & Gynecology - Maternal Fetal Medicine . He serves as Co-PI of the March of Dimes Prematurity Research Center at Stanford and PI of the California Center for Finding Causes and Preventives of Birth Defects . His research focuses on the Epidemiology of birth defects Gene-environment interactions in perinatal outcomes Nutritional factors in reproductive health . He has developed machine learning approaches for precision parenteral nutrition and predictive models for preterm birth, while investigating persistent metabolomic signatures following hypertensive pregnancy disorders. Shaw's recent work explores Climate change impacts on reproductive health Maternal-fetal immune interactions Epigenetic mechanisms in perinatal disease with applications of multiomics to neonatal intensive care units. As a member of Bio-X and the Maternal & Child Health Research Institute , he contributes to translational research networks while serving as Associate Editor for Birth Defects Research and American Journal of Medical Genetics . He supervises Med Scholar Project student Richard Liang Doctoral co-advisor for Saskia Comess and Richard Liang Master's advisor for Lenae Joe while leading the Division of Neonatology as Associate Chair for Clinical Research (2012-2025). His laboratory work integrates Metabolomic profiling Proteomic analysis Computational modeling Machine learning for biomedical data to advance neonatal care through precision medicine approaches.

Halina Frydmanمشاهده پروفایل

استاد

• Survival Analysis
• Markov Processes
• Stochastic Modeling
• +۷ مورد دیگر

Halina Frydman is a Professor in the Department of Statistics and Operations Research at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 1978. Her academic work bridges statistical theory and real-world applications in finance and labor economics. Institution: New York University School: Leonard N. Stern School of Business Department: Department of Statistics and Operations Research Academic Rank: Professor Email: hf2@stern.nyu.edu Education: Ph.D. in Mathematical Statistics, Columbia University, 1978 M.A. in Mathematical Statistics, Columbia University, 1974 B.S. in Physics and Mathematics, Cooper Union, 1972 Research Interests: Professor Frydman specializes in survival analysis and Markov processes , with a strong focus on their applications in financial modeling and labor market dynamics . Her work explores mixture models of Markov chains to capture heterogeneity in longitudinal data, particularly in the context of corporate credit rating migrations and employment/unemployment transitions. She also contributes to methodological advances in stochastic modeling and statistical inference for time-to-event data. Publication Trends: Her recent research, reflected in reconstructed articles, demonstrates a consistent focus on developing and applying advanced statistical models—particularly survival models, Markov chains, and mixture models—to problems in finance and economics. There is a clear progression toward more complex, data-driven models incorporating Bayesian methods, high-dimensional estimation, and time-varying effects. Scientific Awards: No awards explicitly mentioned in the source text. Advising and Grants: While specific advisees and grant funding are not listed in the available text, Professor Frydman's long-standing research program and publications in premier journals such as the Journal of the American Statistical Association and The Journal of Finance suggest a significant scholarly impact and likely history of research sponsorship. She teaches core courses including Regression & Forecasting Models , Stochastic Processes I , and Stochastic Models in Finance , indicating active engagement in graduate education. Labs and Research Teams: No specific laboratories or research groups are mentioned in the provided content. However, her research aligns with interdisciplinary efforts in financial statistics and econometric modeling, potentially involving collaboration within NYU’s broader quantitative research community.

Adam M. Kleinbaumمشاهده پروفایل

استاد

• Social networks
• Formal organizational structure
• Organizational culture
• +۵ مورد دیگر

Adam M. Kleinbaum is Professor of Leadership and Organizations at the Tuck School of Business, Dartmouth College, where he teaches MBA courses in organizational behavior, social networks, and leads global expeditions to Israel. He also serves as interim faculty chair for Health Care Management Education at Dartmouth, teaching in both the Masters in Healthcare Delivery Science and Masters of Health Administration programs, as well as an organizational behavior class in the Thayer School of Engineering. Dr. Kleinbaum holds a DBA from Harvard University (2008) and an AB from Harvard College (1998). Prior to joining Tuck, he served as a post-doctoral fellow at Harvard Business School. His research examines the antecedents and evolution of social networks in organizations, investigating how formal and informal structures, career history, personality, and even brain structure shape network formation. A second research stream applies network science to study diversity, equity and inclusion practices. His work has been published in top journals including Nature Communications , Administrative Science Quarterly , Organization Science , and Strategic Management Journal . Analysis of his publications reveals consistent focus on network dynamics within organizational contexts, with increasing attention to DEI applications and remote/hybrid work implications in recent years. His work bridges theoretical organizational research with practical business applications. 2018 ASQ Award for Scholarly Contribution for 'Organizational Misfits' Featured in 2018's 'Top Ten Insights from the Science of a Meaningful Life' Third most-read Life and Biological Sciences paper in Nature Communications (2018) Recognized as one of Poets & Quants' Best 40-Under-40 MBA Professors Professor Kleinbaum serves as Deputy Editor at Administrative Science Quarterly , with previous editorial roles at Management Science and Academy of Management Annals . He co-founded the Dartmouth Interdisciplinary Network Research (DINR) Group, which brings together scholars from multiple disciplines to advance network science applications. His research has been featured in major media outlets including the New York Times , Wall Street Journal , Scientific American , and The Atlantic .

• Sports Science
• Exercise Physiology
• Strength and Conditioning
• +۹ مورد دیگر

Greg Haff is a Professor of Strength and Conditioning and Director of the Strength and Power Research Group at Edith Cowan University's School of Medical and Health Sciences. He holds a PhD from the United States (1999) and has extensive experience in strength and conditioning research, education, and professional practice. His work focuses on neuromuscular adaptations, training theory, velocity-based training methods, and recovery strategies. Haff has received numerous awards, including the National Strength and Conditioning Association’s Impact Award (2021) and the UK Strength and Conditioning Coach of the Year (2014). Affiliations: ECU School of Medical and Health Sciences, Strength and Power Research Group Education: PhD (1999), MS (1996), BS (1993) in Physical Education from the United States. Research Interests: Haff’s research explores optimal training methodologies, including periodization, eccentric loading, and velocity-based resistance training. He investigates how neuromuscular adaptations enhance athletic performance and reduce injury risk. His work spans sports science, biomechanics, and exercise physiology. Publications & Awards: Over 270 scientific papers, 9 books, and 28 book chapters. Notable awards include the William J. Kraemer Sport Scientist of the Year (2011) and the NSCA Young Investigator Award (2001). His research has been cited over 9,000 times (Scopus h-index 53). Grants & Labs: Leads the Strength and Power Research Group, focusing on applied strength training and performance optimization. Research spans athlete development, recovery strategies, and injury prevention.

• Social Psychology
• Environmental Psychology
• Health Psychology
• +۴ مورد دیگر

Jana Kesenheimer, PhD is a researcher at the Department of Social Psychology , University of Innsbruck . Her work bridges social psychology and environmental psychology , focusing on the interplay between personality traits, prosocial behavior, and psychological well-being. She employs intensive longitudinal methods (diary studies, experience sampling) to investigate how environmental actions, remote work, and ultra-endurance sports affect individuals differently based on their psychological profiles. Research Highlights Connecting dark personality traits (e.g., narcissism) with pro-environmental behavior fatigue Analyzing fluid retention and cardiac strain in ultra-distance cyclists Studying remote work's impact on mental health through basic psychological needs Scientific Focus : Her publications reveal a trajectory in behavioral ecology , health psychology , and personality-driven motivation . Key subfields include exercise psychology , pandemic-induced value shifts , and moral self-regulation in ecological contexts.

David M Williamsمشاهده پروفایل

استاد

• Health Psychology
• Behavioral Science
• Exercise Science
• +۴ مورد دیگر

David M Williams is a Professor of Behavioral and Social Sciences and Psychiatry and Human Behavior at Brown University's School of Public Health , where he also serves as Associate Dean . His work bridges affective science and health behavior, focusing on exercise promotion and smoking cessation.

Scott Hayesمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Clinical Psychology
• Aging and Alzheimer’s Disease
• +۳ مورد دیگر

Dr. Scott Hayes is an Associate Professor in the Department of Psychology at The Ohio State University, specializing in Clinical Psychology and Cognitive Neuroscience. He directs the Buckeye Brain Aging Lab (B-BAL) and collaborates with the OSU Center for Brain Health and Performance. His research focuses on neuroimaging techniques to study the effects of physical activity, fitness, and aging on brain structure and function, particularly in memory-related disorders. Education: PhD in Clinical Psychology (Neuropsychology) from the University of Arizona (2006), MA (2002), and BA (1998) with dual honors in Biology and Psychology from Skidmore College. He completed postdoctoral fellowships at Duke University and VA Boston Healthcare System. Research interests include cognitive neuroscience of memory, neural correlates of aging, and applying advanced MRI methods to clinical populations. His work highlights how cardiorespiratory fitness impacts brain health and cognitive decline. Awards include the 2024 Distinguished Teaching Award, Spivack Emerging Leader (2017), and multiple NIH-funded grants. He has authored over 50 peer-reviewed articles, focusing on topics like Alzheimer’s biomarkers, PTSD-related cognitive deficits, and exercise interventions. Labs/Teams: Director of B-BAL, affiliated with OSU Jameson Crane Center for Sports Medicine Institute. Current projects explore brain fitness interventions and resilience in aging populations.

• Paediatrics
• Child Health
• Neonatal Care
• +۴ مورد دیگر

Cathryn Crowle serves as a Clinical Senior Lecturer at the School of Health Sciences within the Faculty of Medicine and Health at The University of Sydney. Her clinical specialty is Paediatrics, with active roles spanning teaching, research, and clinical practice focused on infant and child health across the lifespan. Her research centers on Paediatrics and Child Health with specific emphases in Growth & Development, Infant care, and Translational Research. Key investigations include cerebral palsy early detection using General Movements Assessment and Motor Optimality Score-Revised (MOS-R), neurodevelopmental outcomes in neonatal surgical populations, and interventions for infants in Neonatal Intensive Care Units (NICU). Her work bridges clinical practice and research through knowledge translation initiatives. Analysis of her 14 publications (2015-2025) reveals consistent focus on predictive tools for neurodevelopmental disorders, particularly cerebral palsy in high-risk Australian infant cohorts. Her methodology combines longitudinal assessment (HINE, Bayley scales), clinical translation, and multidisciplinary collaboration to address gaps in early diagnosis and intervention. Dr. Crowle currently supervises Victoria Norris on music therapy applications in NICU settings. Her research involves extensive collaboration with cerebral palsy experts including Iona Novak, Nadia Badawi, and Catherine Morgan across institutions, with projects like the Knowledge Translation of Early Cerebral Palsy (KiTE CP) study demonstrating implementation science approaches. She contributes to teams focused on neonatal neurodevelopment through the Cerebral Palsy Alliance Research Institute, participating in prospective cohort studies examining autism risk in NICU graduates and neurodevelopmental outcomes in ECMO survivors. Her clinical work integrates assessment protocols for infants with congenital anomalies requiring surgery.