Find Academic Supervisors

Hector H. SandovalView profile

Assistant Professor

• Social Interactions
• Applied Microeconomics
• Education
• +5 more

Hector H. Sandoval is a Research Assistant Professor and Economic Analysis Program Director at the Bureau of Economic and Business Research (BEBR), University of Florida. His academic background includes a B.A. and M.A. in Economics and Public Policy from Tecnológico de Monterrey (Mexico City Campus), and a M.Sc. and Ph.D. in Economics from the University of Wisconsin-Madison (2015). Prior to his doctoral studies, he worked at Mexico’s National Council for the Evaluation of Social Development Policy (Coneval), focusing on poverty analysis. His research spans Social Interactions, Applied Microeconomics, Education, Poverty, and Program Evaluation. Notable areas include consumer behavior, energy policy, and the differential impacts of crises (e.g., pandemic effects on energy consumption). His consultancy work with the World Bank and UNDP’s Human Development Office in Mexico highlights his engagement with global development challenges. Recent publications analyze tariff misclassification costs, gender gaps in consumer expectations, and solar PV market dynamics in Mexico. His work often bridges theoretical frameworks with applied policy evaluation, emphasizing empirical rigor and real-world relevance. No scientific awards are explicitly mentioned in the provided texts. He has advised no listed students, but his professional roles involve program direction and policy analysis. His expertise in energy efficiency programs and public transportation impacts on education underscores his interdisciplinary approach to socioeconomic issues.

Francesco FebbraroView profile

Researcher

• Monetary Policy
• Financial Stability
• Econometrics
• +3 more

Francesco Febbraro is a PhD candidate (mapped to Researcher) at the University of Groningen's Faculty of Economics and Business, Department of Economics, Econometrics, and Finance, specializing in empirical research on monetary policy transmission and financial stability. He actively contributes to the European Central Bank's ESCB Research Network ChaMP and recently completed a research internship at the Deutsche Bundesbank. His educational background includes: Current Doctor of Philosophy in Economics, University of Groningen MSc Economics (Cum Laude, 2022), University of Groningen (GPA: 8.8/10) MSc Finance (Cum Laude, 2022), University of Groningen (GPA: 8.7/10) BSc Economics and Business Economics (Cum Laude, 2020), University of Groningen (GPA: 8.5/10) Exchange Program at Universidad Carlos III de Madrid (2019-2020, GPA: 8.7/10) Febbraro's research focuses on non-bank financial institutions' role in monetary policy transmission, utilizing large-scale datasets (AnaCredit, Securities Holding Statistics) and advanced econometric techniques (Stata, Python, MATLAB). His Bundesbank internship involved constructing integrated databases linking credit registers with firm-level financial and CO2 emissions variables, yielding policy-relevant insights for financial stability frameworks. As an educator, he has taught 10+ undergraduate and graduate courses including Portfolio Theory, Behavioral Finance, and Econometrics, while supervising bachelor theses in Economics and Business Economics. His technical expertise spans SQL, EViews, and financial databases (Orbis, BankFocus, Refinitiv Eikon), supporting robust empirical analysis across macroeconomic and financial domains. He collaborates internationally through the ESCB ChaMP network, addressing evolving challenges in monetary transmission mechanisms across Eurosystem institutions, with emerging emphasis on climate-related financial risks.

• Behavioral Economics
• Experimental Economics
• Artificial Intelligence in Economics
• +3 more

Stefania Badiglio is a Professor of Economics at LUMSA University in Palermo since 2016, teaching Mathematical Methods for Economics, Financial Mathematics, and Microeconomics. Since 2022, she also teaches 'Basic Skills for Mathematics' at the Faculty of Psychology at the University of Palermo. She holds a Master's in Economics and a PhD in Applied Economics from LUMSA University (2024). Her research focuses on applied, experimental, and behavioral economics, particularly the impact of artificial intelligence on cognitive biases and the design of economic games to measure social capital in schools. She employs statistical tools (R, STATA) for data analysis and has contributed to projects like the ISMed initiative on Behavioral Economics and social capital disparities in Italy. Her work bridges economics and education, with recent publications exploring school leadership, children's prosocial behavior, and AI integration in learning. She actively participates in international conferences, presenting on topics such as behavioral experiments with AI and educational interventions.

Michael SwartzView profile

Professor

• Biostatistics
• Epidemiology
• Genetics and -omics
• +8 more

Professor Michael Swartz is a faculty member at the Department of Biostatistics within the UTHealth Houston School of Public Health. His research focuses on developing Bayesian and hierarchical models to analyze multifactorial traits, particularly in identifying genetic, environmental, nutritional, and behavioral factors associated with cancer, birth defects, smoking addiction, health services, and trauma care outcomes. His methodological expertise spans observational and population-based studies, randomized trials, and case-control studies, with extensive experience in statistical programming using SAS, Stata, R, and WinBUGS. He is affiliated with the Coordinating Center for Clinical Trials and works at the intersection of biostatistics, epidemiology, and public health research. Research Interests Bayesian hierarchical modeling Genetic and environmental risk factors Cancer epidemiology Addiction research Health services analysis Clinical trials methodology

• Biostatistics
• Clinical Trials Methodology
• Statistical Analysis for Medical Research
• +3 more

Mark D. Chatfield is an Associate Professor and biostatistician at the University of Queensland's School of Health and Rehabilitation Sciences and UQ Clinical Trials Centre. With over 20 years of experience in Australia (Brisbane, Darwin, Sydney) and the UK (Cambridge, 2002-2009), he collaborates extensively with health and medical researchers across multiple disciplines. He also holds an Honorary Fellow (Associate Professor) position with Menzies School of Health Research. Dr. Chatfield specializes in biostatistics and clinical trials methodology, with research interests spanning statistical analysis for medical research, epidemiology, infectious disease modeling, and data visualization. His work frequently involves developing and applying advanced statistical techniques to address complex health issues, particularly in Indigenous health, pediatric care, and infectious diseases. He has made significant contributions to statistical methodology, including the widely used table1_mc command for Stata users worldwide. His publication record is extensive, with over 200 journal articles spanning diverse medical fields. Recent work shows a strong focus on clinical trials methodology, Indigenous health outcomes, pediatric development, and infectious disease epidemiology. He frequently collaborates on multicenter international trials, particularly those addressing health disparities in vulnerable populations. Dr. Chatfield has secured substantial research funding, serving as an investigator on 30 NHMRC/MRFF-funded studies totaling over $57 million, primarily clinical trials. He actively contributes to the Australian Clinical Trials Alliance Statistics in Trials Interest Group, helping to shape best practices in clinical trial design and analysis. As an academic mentor, he has co-supervised 6 PhD students to completion and currently advises 3 additional PhD students. His methodological expertise is highly sought after across multiple research disciplines at the University of Queensland and beyond.

Sasha JohfreView profile

Assistant Professor

• Sociological Theory
• Social Categories
• Methodology
• +5 more

Sasha Johfre is an Assistant Professor in the Department of Sociology at the University of Washington . Their research focuses on the creation and consequences of social categories related to gender, race, age, and bodies, with applications to sociological theory, methodology, and empirical inequality studies. Research Interests Development of conceptual tools for analyzing social processes Theory-method integration in measuring human difference Intersections of culture, naturalness, and social constructs Empirical studies of inequality through statistical and demographic lenses Publications Overview Recent works explore the social construction of age, statistical methodology for polytomous regressors, genetic testing's impact on racial identity, and reference category theory in sociological models. Earlier research spans trauma psychology, betrayal blindness, and cross-cultural paternal behavior analysis.

Trenton MizeView profile

Associate Professor

• Social Psychology
• Methodological Innovation
• Gender Studies
• +3 more

Trenton Mize is an Associate Professor in the Department of Sociology at Purdue University, specializing in social psychology and methodological innovation. He holds a Ph.D. and M.A. in Sociology, an M.S. in Applied Statistics, and a B.A. in Sociology and B.S. in Psychology from Indiana University and the University of Georgia, respectively. Education: Ph.D. in Sociology (Indiana University) M.S. in Applied Statistics (Indiana University) M.A. in Sociology (Indiana University) B.A. in Sociology & B.S. in Psychology (University of Georgia) His research combines social psychological theories of status, identity, and stereotyping with methodological advancements in categorical data modeling and experimental design. Key themes include gender and sexuality dynamics, parental leave policy evaluation, mental illness stigma, and statistical tool development. Recent publications focus on gendered parental leave perceptions, sexual identity discrepancies, and Stata-based methodological tools for social scientists. He actively promotes open science by sharing research data, code, and materials. Mize contributes to graduate education through the Advanced Methodologies at Purdue (AMAP) initiative, developing new courses and leading short workshops on advanced statistical techniques. He joined Purdue in 2017 and has published 12 peer-reviewed articles, one book chapter, and one undergraduate research journal piece.

David NadlerView profile

Assistant Professor

• Occupational health
• Safety engineering
• Environmental statistics
• +5 more

David Nadler serves as a Teaching Assistant Professor in the Department of Bioengineering at New York Institute of Technology (NYIT), having joined the institution in 2017. Previously serving as Chair of Environmental Technology and Sustainability, he transitioned to the Department of Bioengineering in 2022 while maintaining focus on environmental applications. His professional background includes significant experience as a director within the New York City Department of Environmental Protection, complementing his academic work with practical industry perspective. Dr. Nadler's research expertise spans occupational health , safety engineering , environmental statistics , and environmental infrastructure . His current work focuses on PFAS biodegradation through UV-oxidation and water quality monitoring systems, bridging engineering solutions with public health applications. His publications demonstrate a consistent pattern of applying statistical methods to environmental challenges, with recent work appearing in the Journal of Environmental Studies and Sciences and IEEE Access. His teaching portfolio includes BIOE 620 Statistics for Biomedical Engineers, ECET 325 Applied Statistics, and multiple environmental technology courses covering water treatment, waste management, and pollution prevention. Dr. Nadler holds professional certifications as an Associate Safety Professional (ASP) and Environmental Sustainability Professional (ENV SP), reflecting his commitment to practical industry standards. Dr. Nadler demonstrates expertise across multiple analytical platforms including R, Stata, and specialized engineering software suites for hydrology, stormwater management, and GIS applications. His work has received media attention in outlets including US News & World Report, News Wise, and Newsday, particularly regarding PFAS contamination and water conservation strategies.

• Anti-corruption
• Sustainable Development
• Governance Integrity
• +3 more

Patty Zakaria serves as Associate Professor in the Master of Data Analytics program at University of Niagara Falls Canada, leveraging over two decades of expertise in international relations, research design, and policy analysis. Her work focuses on optimizing data-driven decision-making processes and driving strategic initiatives in anti-corruption and sustainable development governance. Her academic foundation includes a PhD in International Relations and Comparative Politics and Master of Arts in Labour and Industrial Relations from Wayne State University. This training underpins her methodological rigor in statistical analysis and field research across global contexts. Professor Zakaria's research centers on anti-corruption strategies, sustainable development governance, and AI applications for environmental sustainability. She employs advanced statistical software (SPSS, R, STATA) to analyze corruption dynamics and generational technology adoption patterns, with fieldwork conducted in Macedonia, Lebanon, and Croatia. Her current flagship project examines how millennials and Gen Z adopt AI for environmental solutions across global regions. Her significant contributions to the field are recognized through: Nomination for Minister’s Award of Excellence (2024) Nomination for Rising Star at Global University Systems (2022) OECD Research Edge winner for anti-corruption research (2018) Daimler Chrysler MAIR Grant (2006) As lead of the Patty Zakaria Research Group Limited, she directs projects including U.S. Department of State-commissioned anti-corruption indices and Transparency International consultancy. Her funding portfolio spans OECD initiatives, government contracts, and corporate partnerships like the GOTOX Inc. customer insights project. Students benefit from her practical approach that bridges academic research with real-world policy applications in the Master of Data Analytics program. The research group maintains active collaborations with international bodies including Transparency International, OECD, and John Jay College, producing policy reports that shape anti-corruption frameworks across the Western Hemisphere. Professor Zakaria's dual expertise in statistical methodology and field research creates unique opportunities for data-driven social impact.

• Health Economics
• Applied Microeconomics
• Medical Innovation
• +4 more

Julian Reif is Associate Professor of Finance and Economics at Gies College of Business, University of Illinois. He maintains significant research affiliations with the National Bureau of Economic Research, J-PAL North America, the Wilson Sheehan Lab for Economic Opportunities, and the Institute of Government and Public Affairs. Professor Reif is an applied microeconomist specializing in health economics, with research focusing on the determinants and value of health. His work examines the health and medical spending effects of air pollution, Medicare Part D impacts on drug utilization, and the value of medical innovation. He serves as Principal Investigator of the Illinois Workplace Wellness Study and as coeditor at The American Journal of Health Economics . His research has been supported by major funding organizations including J-PAL North America, the National Institutes of Health, the National Science Foundation, and the Robert Wood Johnson Foundation. Professor Reif's work has received significant recognition including the Kenneth J. Arrow Award for the best published paper in health economics and the NIHCM Foundation Research Award. Kenneth J. Arrow Award for the best published paper in health economics NIHCM Foundation Research Award for outstanding published work in health care Professor Reif has been featured in major media outlets including The New York Times , The Wall Street Journal , and The Washington Post . His methodological contributions include developing statistical tools like the 'dobatch' command for Stata that enables parallel processing of dofiles. His educational background includes a PhD in Economics from the University of Chicago and a BA from Vanderbilt University, with prior professional experience as a Senior Consultant at Bates White.

Christian FiebergView profile

Professor

• Financial Economics
• Risk Management
• Portfolio Management
• +5 more

Christian Fieberg serves as a Professor of Data Science at Hochschule Bremen (City University of Applied Sciences) in Bremen, Germany, and holds an Affiliate Professor position at Concordia University in Montreal, Canada. He is actively affiliated with the DTX research cluster within the Faculty of Business and Economics at Hochschule Bremen, where his work bridges theoretical modeling with practical financial applications. Professor Fieberg's research spans financial economics with particular expertise in risk and portfolio management, sustainable investments, and data-intensive financial analysis. His methodological approach integrates advanced statistical techniques, machine learning algorithms, and econometric modeling to address complex financial problems. He specializes in working with large datasets and developing practical software tools that translate research findings into actionable insights for financial practitioners. His publication record reveals a strong focus on market predictability, factor modeling, and cross-sectional analysis across various asset classes. Recent work demonstrates increasing attention to cryptocurrency markets and the application of machine learning techniques to international financial markets. His research consistently appears in top-tier finance journals including the Journal of Finance, Journal of Financial and Quantitative Analysis, and Review of Finance, reflecting both methodological rigor and practical relevance. Top 50 most research-intensive economists under 40 years of age in German-speaking countries (Wirtschaftswoche) Professor Fieberg maintains active collaborations with researchers across international institutions, as evidenced by his co-authored publications with scholars from Concordia University, Montpellier Business School, and the University of Bremen. His work with the DTX research cluster emphasizes innovative research approaches and strong academic-industry networking. His current projects include Bond Factor Prediction (2025-2026) and participation in international workshops such as the STARS EU workshop in Sweden. His laboratory work focuses on developing computational tools for financial analysis using multiple programming environments including Matlab/Octave, R, Stata, Python, and Excel/VBA. The research group maintains active data repositories on Harvard Dataverse for replication purposes, demonstrating commitment to research transparency and reproducibility.

Shadrul Hassan HimelView profile

Lecturer

• Top management teams
• CEO leadership
• Strategy
• +4 more

Dr. Shadrul Hassan Himel serves as a Lecturer in Management and Social Enterprise at the Health Business School, Health Sciences University (formerly AECC University College). With extensive experience in higher education, program development, and module design, he contributes significantly to business education within a healthcare context. His educational background includes a PhD in Business and Management, an MSc (Distinction) in Business and Management, an MBA in Marketing, and a BBA in Marketing. He also holds the Associate Fellowship of the Higher Education Academy (AFHEA). Dr. Himel's research interests focus on top management teams, CEO leadership, strategy, innovation, and social innovation. His methodological expertise spans both qualitative and quantitative approaches with proficiency in STATA, SPSS, and NVivo software. While the text mentions his presentations at academic conferences including the British Academy of Management (BAM) Conference, specific publication details are not provided in the available information. Before joining Health Sciences University, Dr. Himel held academic positions at the University of Nottingham as a Postgraduate Teaching Assistant, at Elizabeth School of London as a part-time Lecturer, and at various universities in Bangladesh where he served as both Assistant Professor and Lecturer. During his doctoral studies, he was actively involved in academic community service as Social Secretary of the Doctoral Society, a mentor, Registry and Academic Affairs Ambassador, and exam invigilator at the University of Nottingham. He has demonstrated commitment to industry collaboration, having organized seminars and professional development events with industry experts for students during his time in Bangladesh. His current role reflects a continued focus on bridging academic theory with practical business applications in the healthcare sector.

• Communicable diseases in low-income countries
• Non-communicable diseases in low-income countries
• Diabetes mellitus among TB and HIV patients
• +4 more

Daniel Faurholt-Jepsen serves as a Clinical Associate Professor at the Department of Clinical Medicine, University of Copenhagen. His academic and clinical work bridges infectious diseases, endocrinology, and epidemiology with a strong focus on global health challenges. Education: M.Sc. in Medicine (MD), University of Copenhagen (2010) Pregraduate research diploma in epidemiology, University of Copenhagen (2007) PhD Student, Department of Human Nutrition, University of Copenhagen (2010-) Dr. Faurholt-Jepsen's research centers on communicable and non-communicable diseases in low-income countries, with particular emphasis on diabetes mellitus among patients infected with tuberculosis and HIV. His work also examines physical activity levels among patients in resource-limited settings and employs epidemiological methods to address complex health challenges. His international field experience includes research in Tanzania, Guatemala, and the Faroe Islands, providing him with valuable insights into diverse healthcare systems and disease patterns. His recent publications (2025) reveal a strong focus on cystic fibrosis complications, diabetes in tropical settings, cardiovascular infections, and metabolic complications of critical illnesses. His research spans clinical trials, epidemiological studies, and health services research, often with an international collaborative dimension. Dr. Faurholt-Jepsen teaches Introduction to Stata and utilizes statistical software including Stata and EpiData for his research. His work demonstrates a commitment to addressing health disparities through rigorous scientific investigation and practical clinical applications.