Find Academic Supervisors

Anita HeberView profile

Professor

• Victimology
• Organized Crime
• Trafficking
• +5 more

Anita Heber is a full Professor and Director of Studies for the Advanced Level in Criminology at Stockholm University's Department of Criminology. She leads the Victimological Research Group, established in 2021. Her work focuses on victimology, organized crime, trafficking, and crime policy, with over two decades of teaching and research experience. Research Interests : Victimology, policing and desistance, masculinities and victimhood, migration-crime linkages, media representation of crime, and policy analysis. Current projects include Policing Gang Desistance (qualitative study of police-led programs) and Men as Victims (courtroom masculinity and victim credibility). Recent Contributions : 2024 articles in British Journal of Criminology and International Review of Victimology analyze victim credibility and sex trafficking narratives. Earlier work includes studies on drug networks and Swedish crime policy bills. Teaching : Supervises two PhD students and teaches victimology, criminological theory, and media-crime intersections. Courses include Victimology (7.5 ECTS) and Media and Crime (advanced level). Visiting Positions : Held fellowships at Monash University (2015), Oxford University (2009), and Keele University (2003).

John T. GasperView profile

Academic

• Political Economy
• Game Theory
• Decision Sciences
• +6 more

John T. Gasper is an Associate Teaching Professor of Economics and former Assistant Dean of Strategic Initiatives at Carnegie Mellon University’s Tepper School of Business. His work bridges political economy, game theory, and quantitative analysis. Research focuses on U.S. disaster relief accountability , examining how electoral outcomes respond to natural disasters and governmental aid decisions. He also investigates media bias origins through market models and formal theory. Notable projects include analyses of gubernatorial-presidential dynamics in disaster declarations and ideological shifts in media outlet positioning. Teaching spans economics, data science, decision analysis, and agent-based modeling. Courses include Principles of Game Theory for Business and Empirical Research Methods at both undergraduate and executive education levels. Current research includes work on investigative journalism economics (under review) and computational models of political protests. Active collaborations with Andrew Reeves and Cristina Bicchieri address electoral strategies and protest dynamics.

• Statistics
• High-Dimensional Data Analysis
• Statistical Genetics
• +7 more

Aaron J Molstad is an Assistant Professor in the Department of Statistics at the University of Minnesota – Twin Cities, within the College of Science and Engineering. His research lies at the intersection of statistical methodology and genomic data science, with a focus on developing rigorous and scalable methods for modern high-dimensional datasets. His research interests include high-dimensional statistics, covariance and precision matrix estimation, regression modeling with structured responses, variable selection, and integrative analysis of omics data. He develops methods tailored for compositional data, multivariate responses, and ancestry-specific genetic association studies, contributing to both theoretical statistics and public health applications. The recent publications and funded projects highlight a strong trend in developing objective, reliable, and heterogeneous-aware statistical frameworks for genomics and biomedicine. His work emphasizes methodological innovation with direct applicability to complex biological data, particularly in diverse populations and multi-omics integration. Awarded grants from the National Science Foundation and the National Institutes of Health demonstrate recognition of his research’s significance and impact. These include projects on inference from omics data, new regression models for categorical responses, and integrative genomics in African American populations. Objective and reliable methods for inference from modern omics data (NSF, 2024–2027) Collaborative Research: New Regression Models for Multiple Categorical Responses (NSF, 2024–2025) Integrative Genomics into Genetic Association Studies of Blood Pressure and Stroke in African Americans (NIH/Fred Hutchinson, 2023–2024) Dr. Molstad advises and collaborates on major genomic studies involving protein expression, blood pressure, stroke, and ancestry-specific effects. While specific PhD students are not listed, his role as Principal Investigator on multiple grants indicates mentorship of graduate researchers and postdoctoral scholars. He is also active in the broader statistical community, with publications in top-tier journals such as Biometrika , Biometrics , and Genome Biology .

• Population Ecology
• Conservation Biology
• Statistical Ecology
• +3 more

Eric T. Hileman is an Assistant Professor in the Wildlife and Fisheries Resources program at West Virginia University. He serves as the quantitative ecologist for the Eastern Massasauga Rattlesnake Species Survival Plan, contributing to conservation efforts for this threatened species. Educational background: B.S. and M.S. from University of Wisconsin institutions, Ph.D. from Northern Illinois University Prior roles: Assistant Research Professor at Mississippi State University, Mendenhall Research Fellow at USGS Fort Collins Science Center Research Interests Dr. Hileman specializes in population ecology, applying advanced statistical methods like capture-recapture and occupancy models to study wildlife dynamics. His work spans snake conservation, invasive species control, and ecological modeling, with direct applications for conservation management. Scientific Contributions Recent publications focus on snake behavior, disease risk, and habitat management, reflecting his expertise in quantitative approaches. Key topics include invasive brown treesnake control, snake fungal disease, and demographic modeling for pitvipers. Collaborations Active in interdisciplinary teams, including the Eastern Massasauga Rattlesnake conservation group and Guam-based invasive species research initiatives.

• Health Policy
• Environmental Policy
• Risk Analysis
• +5 more

James K. Hammitt is a Professor of Economics and Decision Sciences at the Harvard T.H. Chan School of Public Health , affiliated with the Center for Risk Analysis , Center for Health Decision Science , and Health Policy and Management Department . He is also a Senior Common Room member at Winthrop House (Faculty of Arts & Sciences, Harvard University). Education: AB in Applied Mathematics (magna cum laude, Harvard College, 1978), ScM in Applied Mathematics (Harvard University, 1978), MPP in Public Policy (Kennedy School of Government, 1981), PhD in Public Policy (Harvard University, 1988) His research focuses on quantitative methods in health and environmental policy , including benefit-cost analysis , decision analysis , and risk analysis . Key areas include managing long-term environmental uncertainties (climate change, ozone depletion), ancillary benefits/risk trade-offs , and social preference characterization using revealed/stated-preference and health-utility methods. He has contributed to 15+ recent publications spanning mortality risk valuation , health impact modeling , and policy evaluation in contexts ranging from COVID-19 to electric vehicles . Awards: Distinguished Achievement Award, Society for Risk Analysis (2015) Outstanding Achievement Award, Society for Benefit-Cost Analysis (2021) His work addresses complex policy challenges through interdisciplinary approaches, integrating economics , public health , and environmental science . While student advising isn't explicitly mentioned, his leadership in National Academies of Sciences panels and advisory committees to EPA/government agencies underscores his policy influence. No email addresses are publicly available.

Joni TeravainenView profile

Assistant Professor

• Analytic Number Theory
• Additive Combinatorics
• Ergodic Theory
• +3 more

Joni Teräväinen is an Assistant Professor at the University of Cambridge , affiliated with the Department of Pure Mathematics and Mathematical Statistics. His research is funded by an ERC Starting Grant and has been supported by prestigious fellowships including the Academy Research Fellow, Marie Curie Fellow, and von Neumann Fellow. Current Role: Assistant Professor, University of Cambridge Previous Roles: Academy Research Fellow (University of Turku), von Neumann Fellow (IAS), Titchmarsh Research Fellow (University of Oxford) His research interests lie at the intersection of analytic number theory , additive combinatorics , and ergodic theory , with a focus on multiplicative functions, prime distribution, and higher-order Fourier analysis. Recent work explores correlations of multiplicative functions, Fourier uniformity in short intervals, and applications to the Chowla and Elliott conjectures. Joni has published extensively in top journals including the Journal of the European Mathematical Society , Annals of Mathematics , and Proceedings of the London Mathematical Society . His publications reveal a trend toward quantitative bounds for Gowers uniformity, shifted exponential composites, and function field analogues of classical problems. Scientific Awards: ERC Starting Grant Academy Research Fellow Marie Curie Fellow von Neumann Fellow Academy of Finland Postdoctoral Researcher Titchmarsh Research Fellow Contact: jt945@cam.ac.uk . More details are available on his personal homepage .

Fabrizio FarinaView profile

Lecturer

• Epidemiology
• Microbiology
• Infectious Diseases
• +5 more

Fabrizio Farina is a Lecturer at the Department of Law, Economics, Management and Quantitative Methods (DEMM) within the University of Sannio. His academic activities focus on Statistics (SECS-S/01) and interdisciplinary research at the intersection of public health, microbiology, and molecular biology. University: University of Sannio Department: Law, Economics, Management and Quantitative Methods (DEMM) Contact: fafarina@unisannio.it | +39 0824 305099 His research explores: Molecular epidemiology of genital infections in Southern Italy Role of sialic acid in bacterial meningitis pathogenesis Comparative virulence analysis in murine models Gender-specific infection patterns and reproductive health impacts Microbial interactions and co-infection dynamics Publications reflect collaborations with researchers in microbiology, infectious diseases, and neurology, including studies on: 2022 Diagnostics journal: Genital infection prevalence in Campania 2019 Infection and Immunity study: Meningococcal virulence mechanisms

Anna ZinnView profile

Research Fellow

• Tourism Management
• Environmental Psychology
• Social Identity Theory
• +3 more

Dr. Anna Zinn is a Postdoctoral Research Fellow at the School of Business, Faculty of Business, Economics and Law, The University of Queensland, specializing in social identity applications for sustainable tourism and hospitality behavior change. Education: Doctor of Philosophy in Psychology, University of Exeter Masters (Coursework) of Research Psychology, University of Exeter Her research centers on environmental psychology and social identity theory , with pioneering work on reducing buffet waste, promoting towel reuse through anthropomorphism, and optimizing hotel sustainability practices. She employs computational-linguistic methods, experimental designs, and field studies to develop practical interventions that balance environmental goals with guest satisfaction in tourism contexts. Analysis of her 14 publications (2021-2025) reveals a consistent trajectory toward interdisciplinary solutions for sustainable tourism, integrating psychology, hospitality management, and environmental science. Key trends include leveraging social identity salience for pro-environmental behavior, refining pre-testing protocols for field interventions, and addressing implementation challenges in real-world hospitality settings. Dr. Zinn actively collaborates with Professor Sara Dolnicar's research group and has served as Principal Advisor for one PhD project ('Using Gamification to Inspire Sustainable Tourist Behaviour') and Associate Advisor for three others. Current funding includes an ARC Discovery Project (2025-2028) on behavior change mechanisms and an Energy Queensland grant (2024-2025) for electricity usage segmentation.

Alessio D'AngeloView profile

Professor

• Social Policy
• Migration Studies
• Social Inequalities
• +12 more

Professor Alessio D'Angelo is a Professor of Public and Social Policy at the University of Derby , affiliated with the School of Law and Social Sciences within the College of Business, Law and Social Sciences . He serves as co-director of the Centre for Criminology and Social Policy Research and is the Editor of the journal Social Policy and Society . He is an active member of the Social Policy Association (SPA) Executive Committee and convenor of the Social Network Analysis Study Group (SNAG) under the British Sociological Association . His research focuses on social inequalities, migration, diversity, community organizations, and access to public services , with methodological expertise in quantitative, qualitative, and mixed-methods research , particularly in data mapping, visualization, and Social Network Analysis (SNA) . His work is funded by major bodies including the European Commission, ESRC, AHRC , and various public and charitable organizations. His recent publications reveal a strong thematic focus on migration policy in Europe and the UK, welfare chauvinism, migrant education during and after the pandemic, and the sociopolitical integration of migrants . He frequently contributes to high-impact journals and edited volumes, and leads significant research projects involving census data, community networks, and policy evaluation. Policy Press Outstanding Teaching Award (with Nottingham Social Policy team) Professor D'Angelo supervises PhD students and teaches in the MRes Social Sciences program. He is actively engaged in national and international research collaborations with institutions such as the University of Nottingham, University of Padua, Universitat Autònoma de Barcelona , and NGOs. His work bridges academic research with public policy and community engagement, contributing to debates on migration, citizenship, and social justice.

• Statistics in Sport
• Gambling Markets Analysis
• Sports Forecasting
• +3 more

Professor Ian McHale is a leading academic in sports statistics and gambling market analysis at the University of Liverpool. His research focuses on statistical methodologies for sports performance evaluation, gambling regulation impact, and audience behavior. He has served as founding Chair of the Royal Statistical Society's Statistics in Sport Section and is an Associate Editor for the International Journal of Forecasting and Journal of Quantitative Analysis in Sport . His work bridges academia and industry through collaborations with football clubs, the Premier League, bookmakers, and regulatory bodies like GambleAware. Key professional activities include developing the EA SPORTS Player Performance Indicator for the Barclays Premier League and leading the Sports Analytics Machine (SAM), which provides BBC Spot forecasts for football matches. His research addresses topics such as player rating systems, match-fixing detection, and lottery player behavior. He actively engages in educating stakeholders via courses on sports analytics and forecasting. Notable contributions include methodologies for age-dependent performance analysis in golf and snooker, Bayesian models for detecting judging biases in MMA, and evaluations of gambling market dynamics. His work emphasizes practical applications, such as improving sports integrity, optimizing betting strategies, and enhancing audience engagement through data-driven insights. Though no formal awards are listed, his prolific publication record and industry collaborations underscore his significant influence in sports analytics. He advises on strategic business research and data analytics in sports management through university modules like 'Football Economics and Analytics.'

• Sport Marketing
• Data Science
• Predictive Analytics
• +3 more

Jonathan A. Jensen is an Associate Professor and Associate Director of the Center for Sport Management Research and Education (CSMRE) at Texas A&M University’s College of Education and Human Development. He holds a B.A. from the University of Notre Dame, an M.S. from the University of Massachusetts-Amherst, and a Ph.D. with a Quantitative Research Methods specialization from The Ohio State University. His research bridges data science and sport marketing, focusing on predictive analytics, sponsorship strategy, and advanced statistical models. Dr. Jensen has authored over 50 peer-reviewed articles in journals such as the Journal of Sport Management and Journal of International Marketing , with notable works on sponsorship retention models, Formula One sponsorship dynamics, and gender equity in sport marketing. His awards include the NASSM Research Fellow, SMA Research Fellow, and multiple "Paper of the Year" accolades from the American Marketing Association. His research emphasizes practical applications of analytics, including survival models for sponsorship longevity and multilevel frameworks for brand equity. He has advised industry leaders in NFL/MLB marketing and currently serves on editorial boards for Journal of Advertising Research and Journal of Global Sport Management . Prior to academia, he worked in global sport marketing agencies within Omnicom and Publicis Groupe. Grants & Awards : IOC PhD Research Grant, IBM Junior Faculty Award, Jimmy & Judy Cox Asia Initiative Award. Industry Experience : Executive roles at Omnicom Group (GMR), Publicis Groupe (Relay Worldwide), and NFL/MLB teams. Labs/Teams : Leads the CSMRE at Texas A&M, focusing on sport analytics and management innovation.

• Financial Econometrics
• Time Series Analysis
• Econometrics
• +5 more

Mustafa Hakan Eratalay is a Lecturer in Econometrics at the University of Tartu's School of Economics and Business Administration (50% position). Previously, he served as Associate Professor of Financial Econometrics (2015–2017) and Lecturer (2012–2015) at the European University at St. Petersburg. He holds a PhD in Economics from the University of Alicante (2012), specializing in Multivariate Volatility Modeling and Estimation under Dr. M. Angeles Carnero. His research focuses on Financial Econometrics, Time Series Analysis, Systemic Risk, ESG Ratings, and Social Networks. Key projects include analyzing cultural impacts on consumer confidence, cryptocurrency price prediction using machine learning, and evaluating ESG ratings' effects on systemic risk. He has contributed to studies on Baltic stock markets, ECB communications during crises, and Moscow Stock Exchange dynamics. Eratalay has published in journals like Journal of Risk and Financial Management , Computational Economics , and Economics of Transition . He collaborates with institutions like the Estonian Research Council and the European Commission on projects addressing economic resilience, cultural metrics, and modular nuclear power plant feasibility.

Francis L. HuangView profile

Professor

• Quantitative Methods
• Multilevel Modeling
• School Climate
• +4 more

Dr. Francis L. Huang is a Professor in the Department of Educational, School, and Counseling Psychology at the University of Missouri-Columbia 's College of Education and Human Development. An applied quantitative methodologist , he teaches courses in program evaluation, multilevel modeling, and data management while researching school climate, bullying prevention, and large-scale educational data analysis. PhD in Research, Statistics, and Evaluation (University of Virginia) MA in Instructional Technology and Media (Teachers College, Columbia University) BS in Legal Management (Ateneo de Manila University) His methodological expertise spans clustered data analysis , plausible values modeling , and robust standard error estimation . He develops tools like the MLMusingR package for multilevel modeling in education research. Recent work focuses on 2025 grant-funded studies about data weighting in international assessments and 2024 open-access replication frameworks for nonexperimental datasets. He advocates for rigorous causal inference and equitable discipline policy analysis through projects like the National Center for Rural School Mental Health (funded by Institute of Education Sciences). Dr. Huang contributes to Missouri Prevention Science Institute as Methodology Co-Director and collaborates with interdisciplinary teams on school violence prevention and behavioral threat assessment systems. His 2023-2025 publications demonstrate technical innovations in three-level cluster-robust errors and missing data handling for large-scale assessments.

Rong ChenView profile

Professor

• Nonlinear Time Series Analysis
• Multivariate Time Series
• Monte Carlo Methods
• +5 more

Rong Chen is a Distinguished Professor and Chair of the Department of Statistics at Rutgers University, within the School of Arts and Sciences. With a Ph.D. from Carnegie Mellon University, Professor Chen has established himself as a leading researcher in statistical time series analysis, Monte Carlo methods, and their applications across various fields. Professor Chen's research focuses on: Nonlinear and Multivariate Time Series Analysis Monte Carlo Methods, Statistical Computing and Bayesian Analysis Statistical Applications in Science, Engineering and Business His research trajectory has evolved significantly over the years, beginning with foundational work on nonlinear time series and moving toward more complex high-dimensional tensor time series analysis. Recent publications show a strong emphasis on matrix and tensor factor models for high-dimensional time series, reflecting the growing importance of analyzing complex structured data in modern applications. His work bridges theoretical statistical innovation with practical problem-solving across finance, engineering, and computational biology. Professor Chen has been recognized for his contributions to the field with prestigious fellowships: ASA Fellow (American Statistical Association) IMS Fellow (Institute of Mathematical Statistics) As Chair of the Department of Statistics, Professor Chen oversees academic programs including the Master in Financial Statistics and Risk Management (FSRM) and the Master in Data Science (Statistics Track) programs. His leadership extends to guiding research directions in the department and fostering collaborations across disciplines. Professor Chen has secured numerous research grants supporting work in time series analysis, statistical computing, and applications in finance, engineering, and bioinformatics. Professor Chen's research group maintains active collaborations with researchers in finance, engineering, and computational biology, applying statistical innovations to real-world problems including financial time series analysis, protein folding studies, HIV infection dynamics modeling, wind power forecasting, and nuclear material detection systems.

Lendel NarineView profile

Associate Professor

• Program Evaluation
• Quantitative Methods
• Extension Education
• +5 more

Lendel Narine serves as an Extension Associate Professor within the Youth Programs Department at Utah State University Extension, based at the Logan Campus. His role centers on evaluation and reporting for statewide extension initiatives, focusing on evidence-based program development and impact assessment across Utah's diverse communities through rigorous methodological frameworks. Dr. Narine's educational foundation includes: PhD in Agricultural Education and Communication, University of Florida (2018) MS (M.Phil.) in Agricultural Economics, The University of the West Indies (2013) BS in Agribusiness Management, The University of the West Indies (2010) His research specializes in quantitative evaluation methodologies including competency modeling, outcome metrics, and cost-benefit analysis, with growing emphasis on behavior change mechanisms and diversity-integration frameworks. He applies the Ranked Discrepancy Model extensively for needs assessment in agricultural and youth programming contexts. Analysis of his 2024-2025 publications reveals three dominant research trajectories: food/financial security programming in Utah communities, innovative evaluation frameworks for extension services, and workforce development through emerging technologies like AI. These works consistently employ advanced statistical methods to address critical issues including climate adaptation and health disparities. His award portfolio features 13 major honors including: Distinguished Team Award (2023) Susan Barkman Award for Research and Evaluation (2023) Outstanding Article of the Year (2020) Visionary Leader Award (2020) Best Research Poster (2019) Early Career Service (2021) New Specialist Award (2022) Excellence in 4-H Citizenship Programming (2023) Communication Award: Educational Publication (2022) Florence Hall Award (2022) Innovative Program (2022) Don Dean Felker Financial Management Award (2023) Excellence in Workforce Development Programming (2023) Dr. Narine advises graduate students through ongoing mentorship since 2019 and has evaluated USU Extension's internal funding mechanisms including the mini-grant program. His grant leadership spans civil rights compliance initiatives and Western regional evaluation capacity building projects addressing organizational advancement and diversity metrics. He actively directs multiple extension teams including the Climate Adaptation Intern Program, CORE Professional Development, and Civil Rights Compliance initiatives, while contributing to multi-state collaborations on leadership development and generative AI applications in extension education through the Western Extension region.