جست‌وجوی استاد و پژوهشگر

Zoe Genevieve LeBlancمشاهده پروفایل

استادیار

• Global Governance
• Digital Humanities
• Digital Libraries
• +۴ مورد دیگر

Zoe Genevieve LeBlanc serves as an Assistant Professor at the University of Illinois Urbana-Champaign with dual appointments in the School of Information Sciences and the Center for South Asian and Middle Eastern Studies, while also maintaining an affiliation with the Center for Global Studies. Dr. LeBlanc's research expertise spans Global Governance, Digital Humanities, and Digital Libraries, with particular focus on how digital technologies intersect with cultural understanding and historical interpretation. Her work critically examines power dynamics in digital environments, methodological approaches to incomplete datasets, and the implications of digitization practices for historical scholarship. Analysis of her recent publications reveals a consistent trajectory examining how digital tools reshape scholarly research practices and cultural heritage preservation. Her work demonstrates sophisticated engagement with user-generated content in digital libraries, speculative methodologies for working with missing data, and critical approaches to decolonization through digitized historical materials. A significant portion of her research addresses timely issues in cultural heritage preservation, notably her contributions to the Saving Ukrainian Cultural Heritage Online (SUCHO) initiative. Dr. LeBlanc's scholarly profile reflects a commitment to interdisciplinary research that bridges technical information science with humanistic inquiry, addressing critical questions about how digital systems mediate our understanding of global cultures, histories, and governance structures.

Brian Francisمشاهده پروفایل

استاد

• Social Statistics
• Quantitative Criminology
• Preference Models
• +۱۲ مورد دیگر

Professor Brian Francis is a distinguished academic at Lancaster University, serving as Professor of Social Statistics within the School of Mathematical Sciences. His office is located in B38, B-Floor, Fylde College, and he maintains an active research program as evidenced by his extensive publication record and ongoing projects extending through 2026. Professor Francis is a leading social statistician whose research spans multiple domains at the intersection of statistics and social sciences. His primary research interests include: Social statistics and quantitative criminology Preference models and latent class methods for longitudinal data Mixture models and categorical data problems Criminal careers of offenders and social and developmental change Analysis of administrative and survey data Violence and serious offending, including sexual offending, homicide, trafficking, and cyber-crime High frequency victimization and gender-based violence Child developmental studies in psychology His research program demonstrates a consistent focus on applying sophisticated statistical methodologies to pressing social issues, particularly in criminology and violence research. Professor Francis has developed innovative approaches for analyzing criminal careers, measuring violence, and understanding patterns of offending behavior. His recent work has particularly emphasized the measurement challenges in criminological data and the gender dimensions of violence. Analysis of Professor Francis's recent publications reveals a strong trend toward methodological innovation in crime statistics and violence measurement. His 2020-2025 work focuses on critical issues including conflicting trends in violent crime measurement, developing sentence severity scales, refining violence definitions in crime surveys, and improving estimation methods for human trafficking. He has also made significant contributions to data privacy techniques through his work on differential privacy and synthesis of confidential data. Professor Francis has received notable recognition for his contributions to the field: Royal Statistical Society: John Howard Medal for Social Statistics ONS Research Excellence Awards 2024 Outcome - Impact of Analysis Professor Francis is actively involved in numerous research projects and collaborations. His current projects include "Working memory and its relation to key outcomes in the real world" (2023-2026), "METHCRIM- methodological aspects of crime survey data" (2023-2026), and "Violence Health and Society" (2021-2026). He has provided written evidence to Parliamentary committees on tackling Violence Against Women and Girls (VAWG) and contributed to policy development in trafficking and violence measurement. As a member of the Data Science Institute and Security Lancaster, Professor Francis collaborates with interdisciplinary teams to address complex societal challenges through statistical methodology. His editorial work for the European Journal of Criminology and Journal of Quantitative Criminology demonstrates his leadership in advancing methodological standards in criminological research.

Ikechukwu Ogbuanuمشاهده پروفایل

استادیار مدعو

• Disease Surveillance
• Infectious Disease
• Maternal and Child Health
• +۳ مورد دیگر

Dr. Ikechukwu (Ike) Ogbuanu is an Adjunct Assistant Professor in the Hubert Department of Global Health at Emory University's Rollins School of Public Health. He serves as the Site Director of the Child Health and Mortality Prevention Surveillance (CHAMPS) project in Sierra Leone. With over 20 years of experience in clinical medicine, global public health, and vaccinology, Dr. Ogbuanu has held roles at the U.S. CDC, WHO, and collaborated with global health partners like USAID and Gavi. His research focuses on disease surveillance, infectious diseases, maternal/child health, and social determinants of health. Education: MD, University of Nigeria, Nsukka (1998) MPH, University of South Carolina (2006) PhD in Epidemiology and Biostatistics, University of South Carolina (2009) Research Interests: Dr. Ogbuanu investigates child mortality causes, vaccine-preventable diseases, and healthcare system strengthening in low-resource settings. His work combines epidemiological research with policy development to reduce preventable deaths globally. Key areas include postmortem studies on pneumonia, malaria, and antimicrobial resistance, as well as improving vaccination coverage through missed opportunity assessments. Awards: USC Gerry Sue Arnold Alumni Award (2019) CDC Excellence in Public Health Service Award (2014) CDC Award for Excellence in Public Health Protection (2010) Grants & Collaborations: Leads CHAMPS in Sierra Leone, managing partnerships with global health agencies. His work emphasizes cross-functional team leadership and international health diplomacy to address systemic health challenges in LMICs. Labs/Teams: Active in the CHAMPS Network, focusing on mortality prevention through scientific research and community engagement.

• Water Quality Management
• Hydrology
• Water-Energy-Food Nexus
• +۳ مورد دیگر

Amit Gupta holds the position of Visiting Professor in the Department of Electronic and Electrical Engineering at the University of Strathclyde, United Kingdom. His research focuses on interdisciplinary environmental systems, particularly water quality dynamics within the water-energy-food nexus and unresolved challenges in hydrological science. He has contributed to collaborative datasets addressing critical global environmental issues. Key contributions include the dataset "Water quality: the missing dimension of water in the water–energy–food nexus" (2023) and the "Twenty-three unsolved problems in hydrology (UPH) – a community perspective" (2023). These datasets highlight his engagement in large-scale international collaborations, involving researchers from institutions globally to address pressing environmental sustainability challenges. No academic awards, grants, or advising roles are explicitly detailed in the provided text. His work emphasizes data-driven approaches to environmental systems analysis and transdisciplinary problem-solving.

• Criminology
• Criminal Justice Systems
• Population Dynamics
• +۴ مورد دیگر

Dr Richard Kapend is a Senior Lecturer in Criminology at the University of Winchester, based in the Department of Policing, Criminology and Forensic within the Faculty of Law, Crime and Justice. His research focuses on criminological issues, criminal justice systems, and population dynamics in post-conflict settings. He holds a Ph.D. in Social Statistics, MSc in Demography, and BSc in Criminology and Psychological Studies from the University of Southampton. His work emphasizes quantitative methodologies, particularly in reconstructing missing data for conflict and criminal justice analysis. Richard’s research projects include exploring links between migration and criminal justice, prison population dynamics in the DRC, under-five mortality in conflict zones, and applying statistical techniques to socio-demographic criminal justice issues. Notable projects include an exploratory study on private policing beyond traditional law enforcement and analyzing the demographic consequences of armed conflict in the DRC. His articles span cybercrime victimology, conflict demographics, and criminological theory applications. Supervised students have successfully completed dissertations and theses across undergraduate and postgraduate levels. Richard advocates for enhancing quantitative data culture in criminal justice institutions, particularly in post-conflict regions.

• School exclusion
• Special Educational Needs and Disabilities (SEND)
• Social, Emotional and Mental Health (SEMH)
• +۶ مورد دیگر

Sarah Martin-Denham is a prominent researcher at the University of Sunderland's School of Education specializing in school exclusion, Special Educational Needs and Disabilities (SEND), and inclusive education practices. Her work focuses on understanding the complex experiences of children at risk of exclusion, developing evidence-based interventions for reintegration into mainstream schooling, and advocating for systemic changes in educational policy. She leads the innovative #pullupachair initiative, which employs creative methodologies to amplify the authentic voices of children, parents, and educators in shaping more inclusive educational environments across various settings from Early Years to secondary education. Dr. Martin-Denham's research program spans several interconnected domains centered on educational inclusion and children's wellbeing. Her work examines the intricate relationship between school exclusion and factors including social, emotional and mental health difficulties, adverse childhood experiences, and special educational needs. She employs innovative research methods such as film series, theographs, and participatory approaches to capture nuanced perspectives that traditional methodologies might miss. Her research has directly informed national policy discussions, including substantial contributions to the SEND and Alternative Provision Green Paper consultation, and she regularly presents findings to the Department for Education, Department of Health and Social Care, and various local authorities. Her scholarly output demonstrates a consistent evolution from foundational work on teaching children with SEND (2015) through the SENCO Handbook (2019) to her doctoral thesis applying Paulo Freire's critical pedagogy to school exclusion (2023). Recent work emphasizes data linkage across educational, health, and social care services to develop holistic understanding of children's needs, particularly through projects like 'Putting together the data jigsaw' examining how local authorities connect information about children with SEND. The #pullupachair initiative represents her commitment to translating research into practical resources, producing numerous film series and practical guides tailored to different educational contexts and age groups. Dr. Martin-Denham maintains active collaborations with Sunderland City Council, Northumberland County Council, and various Integrated Care Boards, ensuring her research addresses real-world challenges faced by schools and local authorities. She regularly presents at national conferences including BERA and contributes to professional development through events like the Northumberland County Council SENCO Conference. Her work bridges academic rigor with practical application, making significant contributions to both scholarly understanding and on-the-ground practices in inclusive education.

Craig Collieمشاهده پروفایل

مدرس

• Missing Persons
• Search and Rescue
• Criminal Justice
• +۳ مورد دیگر

Dr. Craig Collie is a Lecturer in Criminology and Criminal Justice at the University of Portsmouth's School of Criminology and Criminal Justice, within the Faculty of Humanities and Social Sciences. He serves as Associate Head (Quality Delivery) and PhD Supervisor, coordinating modules like Missing Persons: Issues and Investigation. His research focuses on missing persons, search and rescue operations, and criminal justice policy. Prior to academia, he worked as a Special Constable in Scotland and a self-employed Private Investigator. He volunteers as a Search Technician with Hampshire Search and Rescue. Research Interests: Missing Persons Investigation & Policy Search and Rescue Strategies Criminal Justice System Analysis Community Resilience in Emergencies Recent Work Trends: His articles analyze missing persons' risk assessment (2024), cross-border citizen participation in cold cases (2024), and UK water rescue dynamics (2024). Earlier work explored pandemic impacts on missing reports (2021), volunteer retention in SAR (2021), and child abduction modus operandi (2016-2017). Awards: None explicitly listed in the provided texts. Advising & Grants: Supervises PhD candidates and coordinates research projects. Involved in grants related to missing persons investigations and search techniques. Labs/Teams: Associated with the Centre for the Study of Missing Persons, Institute of Criminal Justice Studies, and Risk Reduction and Resilience initiatives.

Michael Leitnerمشاهده پروفایل

استاد

• Geography
• Criminology
• Geospatial Technology
• +۷ مورد دیگر

Dr. Michael Leitner holds the Carl O. Sauer Professorship in the Department of Geography & Anthropology at Louisiana State University (LSU). He also serves as Director of the LSU Graduate Certificate in Crime Mapping & Geospatial Intelligence Analytics. Additionally, he is an Adjunct Professor in the Department of Experimental Statistics at LSU, Adjunct Faculty in the Department of Geoinformatics at the University of Salzburg (Austria), and an Affiliated Scholar at the Max Planck Institute for the Study of Crime, Security and Law (Freiburg, Germany). His roles span academic leadership and interdisciplinary collaboration across multiple institutions and fields. Dr. Leitner's educational background includes a Ph.D. from the State University of New York at Buffalo (1997), and M.A. degrees from both SUNY Buffalo (1993) and the University of Vienna, Austria (1990). He earned his B.A. from the University of Vienna in 1987. His academic journey reflects a strong foundation in geography and interdisciplinary studies. His research focuses on geospatial technology applications, including Geographic Information Systems (GIS), small Unoccupied Aerial Systems (sUAS), and spatial analysis/modeling/mapping of crime and health. Ongoing projects explore spatiotemporal forecasting of crime events, geospatial privacy issues, and combining spatial video geonarratives with physiological data to evaluate perceived safety. He also investigates the interplay between urban environments, social factors, and crime patterns in cities like Vienna and Baton Rouge. Recent publications highlight interdisciplinary efforts in crime modeling, public health geographies, and geospatial privacy. He collaborates internationally, particularly in Poland and Austria, and integrates emerging technologies like sUAS for low-altitude remote sensing and social media data for crime prediction. Dr. Michael Leitner has not listed any scientific awards or honors in the provided information. In advising and grants, he directs the Crime Mapping & Geospatial Intelligence Analytics program and advises the Crime and Policy Evaluation Research group (CAPER) in the Sociology Department. No specific grants or advisee students are detailed. His teaching includes courses like Geospatial Technology , Crime GIS , and Methods of Spatial Analysis , emphasizing practical skills in spatial data science. He is affiliated with LSU's Lambda Alpha Research, African & African American Studies, Cartographic Information Center, and Climate Extremes and Modeling Group. He leads or contributes to the Critical Ecologies Research Group, DIVA, FACES, Geomorphology Lab, Louisiana Office of State Climatology, Miles Richardson Research Lab, PAST, PLES Lab, SCIPP, and the TIGeRS Lab. These collaborations reflect his commitment to advancing geospatial research across disciplines.

Gordon Forbesمشاهده پروفایل

پژوهشگر ارشد

• Prediction Modelling
• IPD Meta-analysis
• Autism Spectrum Disorders
• +۳ مورد دیگر

Gordon Forbes is an NIHR Doctoral Research Fellow at King's College London, affiliated with the School of Mental Health & Psychological Sciences and the Department of Biostatistics & Health Informatics within the Institute of Psychiatry, Psychology & Neuroscience. His research focuses on developing prognostic models for autistic children's long-term outcomes, leveraging longitudinal cohort data and individual patient data meta-analysis techniques. He has expertise in methodology for prediction modeling, latent variable modeling, and clinical trial design. Dr. Forbes lectures on the Introduction to Statistical Modelling and Prediction Modelling modules for the Applied Statistical Modelling & Health Informatics MSc program. His work includes an international collaboration to predict outcomes in adolescence and adulthood for autistic individuals. Prior to King's, he worked at the Pragmatic Clinical Trials Unit, contributing to trials assessing healthcare interventions in real-world settings. His research emphasizes transparency in clinical trials, statistical analysis methodologies, and addressing discrepancies between planned and conducted analyses. Key projects include the FLO-ELA Trial on fluid therapy protocols and the MEMPHIS smartphone app for chronic pain management. He advocates for pragmatic trial designs that enhance relevance to primary care practices. Dr. Forbes' contributions span diverse areas such as early psychosis interventions, diabetes management protocols, and improving outcomes after emergency surgeries. His work bridges statistical rigor with clinical applicability, aiming to translate research into actionable health policies.

• Trustworthy AI/ML
• Causal ML
• Out-of-distribution Robustness
• +۶ مورد دیگر

David I. Inouye is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering (ECE) at Purdue University. His research focuses on trustworthy AI/ML, causal inference, distribution robustness, and explainable AI. He holds a PhD in Computer Science from The University of Texas at Austin and completed a postdoc at Carnegie Mellon University. Education: PostDoc in Machine Learning, 2019 – Carnegie Mellon University PhD in Computer Science, 2017 – The University of Texas at Austin MS in Computer Science, 2015 – The University of Texas at Austin BS in Electrical Engineering, 2012 – Georgia Institute of Technology BA in Natural Sciences, 2011 – Covenant College Research Interests: Developing robust machine learning methods resilient to distribution shifts and computational assumptions Exploring causal mechanisms to mitigate ML robustness issues Advancing explainable AI and fairness in automated decision systems Designing robust collaborative learning frameworks for edge device networks Publications Highlight Trends in: Counterfactual fairness and causal reasoning Federated learning and domain generalization Generative models and distribution matching Vertical data partitioning and dynamic network inference Grants: Funded by NSF, Army Research Laboratory (ARL), and Office of Naval Research (ONR). Active lab collaborations include projects on federated domain translation and causal ML. Labs/Teams: Leads the Inouye Lab, with contributions to open-source tools like FedINB and StarCraftImage datasets.

Eric Turkheimerمشاهده پروفایل

استاد

• Behavior Genetics
• Quantitative Psychology
• Genetics of Intelligence
• +۷ مورد دیگر

Eric Turkheimer is the Hugh Scott Hamilton Professor of Psychology at the University of Virginia, affiliated with the Department of Psychology in the College of Arts & Sciences. His work bridges empirical research, quantitative methods, and philosophical inquiry in psychology. Institution: University of Virginia School: College of Arts & Sciences Department: Department of Psychology Academic Rank: Professor Email: ent3c@virginia.edu Twitter: @ent3c His research centers on the genetics of complex behavior, especially how genes and environments interact to shape intelligence, personality, and family dynamics. He is particularly interested in sibling differences, parenting, marriage, and divorce, and he develops innovative methods for assessing personality while controlling for self-esteem bias. His philosophical work examines the implications of behavior genetics for human agency and free will. The most recent articles reflect a sustained focus on polygenic scores, heritability, gene-environment interactions (e.g., the Scarr-Rowe effect), and the philosophical foundations of behavioral genetics. His publications span topics from technical statistical methods to broader social and ethical implications, indicating a deeply interdisciplinary approach that integrates psychology, genetics, and social science. While no specific awards are listed in the provided texts, his leadership of a research lab, editorial contributions, and public scholarship through his blog Gloomy Prospect and online presence underscore his influence in the field. He actively mentors graduate students, seeking those with strong quantitative and writing skills interested in genetics, intelligence, personality, and philosophy of science. He teaches courses on the Nature-Nurture debate and Experimental Psychopathology. His lab, the Turkheimer Lab, conducts empirical and theoretical research on behavior development.

• Public Health Informatics
• Medical Ethics
• Health Information Technology
• +۹ مورد دیگر

Bonnie Kaplan, PhD, FACMI, is a Lecturer in the Yale School of Public Health 's Department of Biostatistics, Division of Health Informatics. She holds affiliations with the Yale Interdisciplinary Bioethics Center , Yale Law School's Information Society Project , Yale Solomon Center for Health Law and Policy , and the Yale School of Medicine's Program for Biomedical Ethics and Center for Biomedical Data Science . Education: BA, Cornell University (1971) MA, University of Chicago (1972) PhD, University of Chicago (1983) Research Interests: Dr. Kaplan specializes in interdisciplinary studies of ethical, legal, and social issues (ELSI) related to health informatics , artificial intelligence , digital health , and sociotechnical systems . Her work examines data privacy , telemedicine ethics , and organizational challenges in implementing health technologies. Trends in Publications: Recent works focus on data sharing hierarchies , telemedicine during pandemics , and ELSI in digital dermatology . She emphasizes privacy frameworks , regulatory compliance , and sociotechnical evaluation across her research. Scientific Honors: Fellow, American College of Medical Informatics AMIA President’s Award DeVos Medical Bi-Annual Ethics Colloquy Invited Speaker Hastings Center Visiting Scholar Advising and Grants: While no direct student advising is mentioned, Dr. Kaplan has co-authored over 125 publications and contributed to edited volumes like H.I.T. or Miss . She has participated in educational initiatives, including NSF’s Socio-Technical Systems Summer Institute and AMIA’s Doctoral Consortium. Labs and Teams: Dr. Kaplan collaborates extensively with interdisciplinary teams, including the Yale-BI Biomedical Data Science Fellowship and Global Bioethics Initiative . She co-chaired AMIA and IMIA working groups on ethical issues and vendor contracts .

Tiffany L. Bregerمشاهده پروفایل

استادیار

• HIV clinical outcomes
• Epidemiologic methods
• Causal inference
• +۷ مورد دیگر

Tiffany L. Breger, PhD, MSPH is an Assistant Professor of Medicine in the Department of Medicine, Division of Infectious Diseases at the University of North Carolina at Chapel Hill School of Medicine. Her research focuses on improving health outcomes among people with HIV through advanced epidemiological methods and causal inference techniques. Education: Undergraduate: University of California - Berkeley MSPH: University of North Carolina at Chapel Hill PhD: University of North Carolina at Chapel Hill Dr. Breger's research mission centers on developing and applying quantitative methods to evaluate clinical endpoints among diverse HIV populations and estimate impacts of interventions targeting non-AIDS risk factors. Her work has significantly contributed to statistical approaches for accurately estimating treatment policy effects in the presence of missing data and frameworks for incorporating multiple causes of death in HIV mortality analyses. She has focused extensively on smoking, depression, and hypertension among people with HIV, with current research characterizing cardiovascular disease prevention disparities among those with or at risk for HIV in the US. Analysis of her recent publications reveals a strong trajectory in HIV epidemiology with emphasis on methodological innovation in causal inference, mortality risk assessment, and health disparities research. Her work spans both domestic and international contexts, with publications covering US populations as well as studies conducted in Cameroon. Dr. Breger's research program demonstrates expertise in both theoretical methodological development and practical application to substantive HIV clinical questions, with particular attention to women's health issues within the HIV population.

• Founding-family Ownership
• Disclosure of Corporate Innovation
• Shadow Insider Trading
• +۱۰ مورد دیگر

Prof David Mitchell Reeb is a distinguished academic at the National University of Singapore (NUS) Business School, where he serves as Head of the Accounting Department and Director of Business Doctoral Programs. He holds the prestigious Mr. and Mrs. Lin Jo Yan Professorship with dual appointments in both accounting and finance. Dr. Reeb is also recognized as a Senior Fellow of the Asian Bureau of Finance and Economic Research (ABFER) and a Fellow at the Academy of International Business (AIB). Dr. Reeb's research spans multiple domains within business and finance, with particular focus on founding-family ownership, disclosure of corporate innovation, and the organization of accounting firms. His scholarly work has been published in top-tier journals including the Journal of Accounting and Economics, Accounting Review, Journal of Finance, Journal of Financial Economics, Administrative Science Quarterly, and Management Science. His research has garnered significant attention, accumulating over 5,000 citations in Web of Science and 17,000+ on Google Scholar. His work has been featured in leading publications such as The Wall Street Journal, BusinessWeek, The Economist, Forbes, and the Financial Times, and he has been interviewed by major media outlets including CNN, Comcast, and Bloomberg TV. Dr. Reeb's scholarly contributions have earned him notable recognition. His 2003 study on founding-family firms ranks among the 20 most cited articles in the Journal of Finance of all time. Similarly, his 2004 research on accounting report integrity stands as the most highly cited paper in the Journal of Accounting and Economics for that year. More recently, his 2015 research on "Missing R&D" was identified as the 5th most cited paper among the top accounting journals that year. His recent publications demonstrate a consistent focus on corporate governance, innovation, and family business dynamics. His work on dual-class shares, family ownership, and minority investor returns (2025) continues his exploration of governance structures, while his research on shadow trading (2021) addresses important regulatory concerns. Dr. Reeb's field experiments on startup demand for accounting expertise (2024) showcase his innovative methodological approaches to understanding business phenomena. One of the 20 most cited articles in the Journal of Finance of all time (2003 study on founding-family firms) Most highly cited paper in the Journal of Accounting and Economics in 2004 (research on accounting report integrity) 5th most cited paper among the top 3 journals in accounting in 2015 (research on "Missing R&D") As Director of Business Doctoral Programs at NUS Business School, Dr. Reeb plays a significant role in mentoring the next generation of business scholars. His teaching interests span corporate finance, financial management, international finance, and multinational accounting issues. His extensive publication record and high citation counts suggest substantial research funding and grant support throughout his career, though specific grants are not detailed in the provided information.

• Bayesian Statistics
• Missing Data
• Simulation-Based Inference
• +۷ مورد دیگر

Timothy R. Johnson is Professor and Department Chair in the Department of Mathematics and Statistical Science at the University of Idaho, College of Science. He holds a Ph.D. in Quantitative Psychology and an M.S. in Statistics from the University of Illinois at Urbana-Champaign, and earlier degrees in Psychology from Western Washington University. His research focuses on advanced statistical methodologies, particularly in Bayesian inference, response style modeling, and handling coarsened or aggregated data. He develops simulation-based inferential methods and employs specialized Monte Carlo techniques to address intractable likelihoods in data affected by statistical disclosure control. His work addresses fundamental issues in how human response behaviors and data processing affect statistical validity. Johnson teaches core statistics courses including Statistical Methods (Stat 251), Survey Sampling (Stat 422), and Applied Regression Modeling (Stat 436/516). His research has interdisciplinary reach, with collaborations in psychology, business, economics, and natural resources. Though specific publications and advisees are not listed, his methodological focus supports a wide range of empirical research across social and natural sciences. He leads the department and contributes to graduate and undergraduate programs in statistics and data science. His work with the Statistical Consulting Center and involvement in collaborative research projects highlight his engagement with real-world data challenges. He maintains a curriculum vitae and Google Scholar profile for scholarly dissemination. Education: Ph.D., Quantitative Psychology, University of Illinois at Urbana-Champaign, 2001 M.S., Statistics, University of Illinois at Urbana-Champaign, 1999 M.S., Psychology, Western Washington University, 1994 B.A., Psychology, Western Washington University, 1993 Scientific Awards: No awards listed in the provided text. Advising and Grants: Dr. Johnson mentors students through graduate programs in statistics and data science, though specific advisees are not named. He is involved in collaborative research projects across disciplines, indicating active grant and research funding engagement, particularly in applied statistical methodology. His work on response styles and data coarsening likely involves external funding, though specific grants are not detailed. Labs and Teams: He is affiliated with the Statistical Consulting Center and contributes to the research ecosystem within the Department of Mathematics and Statistical Science. His involvement in collaborative projects suggests integration with interdisciplinary research teams in psychology, ecology, and social sciences.