Find Academic Supervisors

• Educational Measurement
• Large-Scale Assessment
• Hierarchical Linear Modeling
• +5 more

Meltem ACAR GÜVENDİR is an Associate Professor in the Department of Educational Sciences at Trakya University's Faculty of Education. She holds a PhD in Measurement and Evaluation in Education from Ankara University (2013) and has conducted postdoctoral research at the University of California, Los Angeles (UCLA). Her research focuses on large-scale educational assessment, including analyses of PISA, TIMSS, and OBBS datasets using hierarchical linear modeling. She specializes in value-added assessment, meta-analyses of study abroad impacts, and psychometric evaluation of educational policies. Academic roles include serving as Head of the Measurement and Evaluation Commission (since 2018) and Deputy Head of the Department of Educational Sciences (2016–2018). She co-edits the International Journal of Assessment Tools in Education and has contributed to over 60 peer-reviewed articles and book chapters. Her work explores student achievement predictors, test anxiety measurement, and international student integration. Key projects include a TÜBİTAK-funded study on scale development processes and participation in the EU-funded CA19103 initiative addressing LGBTI+ inequalities. She has supervised numerous research projects and delivered keynotes on educational measurement methodologies.

Bronson HuiView profile

Assistant Professor

• Second Language Acquisition
• Applied Psycholinguistics
• Vocabulary Learning and Teaching
• +4 more

Bronson Hui is an Assistant Professor of Second Language Acquisition at the University of Maryland, College Park, within the School of Languages, Literatures, and Cultures (SLLC). He is also a member of the Maryland Language Science Center. His research focuses on applied psycholinguistics, particularly second language acquisition in instructed contexts, multi-modal input, vocabulary learning, and open science practices. Hui holds a Ph.D. in Second Language Studies from Michigan State University, an M.S. in Applied Linguistics from the University of Oxford, and dual B.A./B.Ed. degrees in English Language and Education from the University of Hong Kong. Education: Ph.D., Second Language Studies, Michigan State University M.S., Applied Linguistics and Second Language Acquisition, University of Oxford B.A. & B.Ed., English Language and Linguistics / Language Education, University of Hong Kong His research interests include experimental methods in SLA, quantitative analysis, and the use of AI tools in meta-research. He has published in journals like Studies in Second Language Acquisition , Language Learning , and Applied Psycholinguistics . Hui serves on the editorial boards of TESOL Quarterly and Studies in Second Language Acquisition . He teaches courses such as Second Language Research Methodologies , Psycholinguistics , and Vocabulary Acquisition in Instructional Contexts . Hui actively advises graduate students in empirical studies, dissertation research, and grant proposals. His work emphasizes open science practices, including pre-registration, data sharing, and reproducible analyses. Hui has developed workshops on R programming for applied linguists, emphasizing ethical data practices and open-source tools. He collaborates internationally on projects like the ASReview tutorial for meta-research and has contributed to book projects on quantitative methods in applied linguistics.

Ala AlrababahView profile

Assistant Professor

• Immigration Studies
• Political Violence
• Refugee Politics
• +3 more

Dr. Ala Alrababah is an Assistant Professor in the Department of Social and Political Sciences at Bocconi University, with affiliations including the Evidence in Governance and Politics (EGAP) network, Immigration Policy Lab (IPL) at ETH Zurich and Stanford, BAFFI Center on Economics, Finance and Regulation at Bocconi, and the Abdul Latif Jameel Poverty Action Lab (J-PAL). She holds a Ph.D. in Political Science from Stanford University (2021). Her research examines immigration, refugees, and political violence using innovative mixed-methods approaches combining fieldwork with experimental and computational techniques. Primary domains include comparative analysis of migration policies, conflict dynamics in the Middle East, prejudice reduction strategies, and quantitative analysis of political discourse. She maintains active field research programs focused on Syrian refugee communities. Publications demonstrate consistent focus on migration policy impacts, refugee decision-making, and political violence analysis across multiple contexts. Computational methods feature prominently alongside field experiments, with strong methodological contributions to survey research and text analysis. As an active member of international research networks, Dr. Alrababah collaborates on large-scale projects examining refugee integration policies, transitional justice mechanisms, and political behavior in conflict regions. Her work has received international media coverage in outlets including The Economist, Foreign Policy, and BBC Arabic.

Dave ClarkeView profile

Adjunct Professor

• Quantitative Exercise Biology
• Exercise Physiology
• Sports Analytics
• +3 more

Dr. Dave Clarke is an Adjunct Professor in the Department of Biomedical Physiology and Kinesiology at Simon Fraser University, leading the Clarke Laboratory for Quantitative Exercise Biology . His research focuses on Exercise-responsive cell signaling , Sports analytics using wearable sensors , Evidence-based exercise programming , and Clinical exercise physiology . The lab integrates mathematical modeling, clinical insights, and biomechanical approaches to address questions in athletic performance, metabolic disorders, and wearable technology applications. Dr. Clarke collaborates with institutions such as TRIUMF and the BC Cancer Research Centre. Publications highlight his work in critical power modeling , AMP-activated protein kinase dynamics , and mitochondrial disease treatments . His lab emphasizes interdisciplinary training, offering mentorship in experimental design, data analysis, and translational research. The Clarke Lab is affiliated with SFU’s Faculty of Health Sciences and maintains active outreach programs for public health education. Notable projects include developing hydraulic models for recovery kinetics prediction and validating chloride test strips for sodium excretion analysis. The lab’s work has been featured in journals like Frontiers in Sports and Active Living and Orphanet Journal of Rare Diseases . For real-time updates, follow the lab on Facebook .

Laura BringmannView profile

Researcher

• Psychometrics
• Mental Health
• Psychopathology
• +3 more

Dr. Laura Bringmann is an academic affiliated with the University of Groningen, holding roles in both the Faculty of Behavioural and Social Sciences (Department of Psychometrics and Statistics) and the Faculty of Medical Sciences/UMCG (Interdisciplinary Centre Psychopathology and Emotion Regulation). Her research focuses on statistical methodologies applied to mental health and psychopathology, particularly in depression, emotional dynamics, and experience sampling. She collaborates on the Stress-in-Action project, investigating daily stress and mental health. Key awards include the 2023 UG Open Research Award and a NWO Gravity grant. She serves as editor for journals like Behavior Research Methods and Psychological Review. Her work integrates quantitative methods with clinical applications, emphasizing ambulatory assessment and early warning signals for mental health transitions.

Katja IgnatievaView profile

Associate Professor

• Quantitative Finance
• Financial Risk Management
• Actuarial Science
• +3 more

Katja Ignatieva is an Associate Professor at the School of Risk and Actuarial Studies, UNSW Business School, University of New South Wales. She holds a co-tutelle PhD in Finance from Goethe University Frankfurt (Germany) and Macquarie University Sydney, along with an MSc in Mathematics and Statistics from Humboldt University Berlin and Glasgow University. Her research focuses on quantitative finance, stochastic processes, energy markets, and actuarial risk modeling. Key research areas include energy price dynamics, portfolio risk management, mortality modeling, and systemic risk analysis. She has published extensively in top-tier journals, addressing topics such as volatility modeling, jump-diffusion processes, and commodity market dependencies. Educational background includes: PhD in Finance (2011), Goethe University Frankfurt & Macquarie University MSc in Mathematics & Statistics (2000s), Humboldt University Berlin & Glasgow University Her work bridges theoretical finance with practical applications in risk management and insurance. She has contributed to methodologies for pricing complex financial derivatives and managing longevity risk in variable annuities.

• Causal Inference
• Clinical Trials
• Statistical Methods
• +7 more

Dr. Alisa Stephens Shields serves as an Associate Professor in the Biostatistics Division of the Department of Biostatistics, Epidemiology and Informatics at the University of Pennsylvania Perelman School of Medicine. She also holds an adjunct faculty position at Harvard University where she earned her PhD in Biostatistics. Her leadership extends to directing the Biostatistics and Data Science Core at the Penn Center for AIDS Research (CFAR) and chairing the Student Recruitment Committee for Penn Biostatistics. Her educational background includes: BS in Mathematics from University of Maryland (2006) AM in Biostatistics from Harvard University (2009) PhD in Biostatistics from Harvard University (2012) Dr. Stephens Shields' research focuses on enhancing clinical trial design and analysis through innovative applications of causal inference methods. She has made significant contributions to patient-reported outcome development for population-appropriate trial endpoints, particularly in areas of pediatrics, chronic pain, urology, and infectious disease. Her work bridges statistical methodology with real-world health challenges, addressing issues of diversity in clinical trials and improving trial generalizability for complex, heterogeneous conditions. Analysis of Dr. Stephens Shields' publication record reveals a consistent trajectory of methodological innovation applied to pressing clinical problems. Her work spans from foundational statistical methods (particularly in causal inference) to direct applications in clinical research domains such as chronic pelvic pain, infectious disease, and cardiovascular health. A notable trend is her increasing focus on behavioral economic approaches to address diversity gaps in clinical trial participation, reflecting her commitment to health equity. Her scientific recognitions include: 2024 Myrto Lefkopoulou Distinguished Lectureship 2021 Committee of Presidents of Statistical Societies Leadership Award 2018 Distinguished Faculty Award, University of Pennsylvania Fellow of the American Statistical Association Dr. Stephens Shields demonstrates exceptional leadership in mentoring and educational initiatives. She co-developed a causal inference course for Penn's Master of Science in Clinical Epidemiology program and directs the Design of Interventional Studies course for doctoral students. As chair of the Student Recruitment Committee, she actively fosters diversity in quantitative health careers and regularly participates in diversity-focused workshops including the ENAR Fostering Diversity Workshop and STATFest. Her mentorship extends beyond Penn through her adjunct role at Harvard University. Dr. Stephens Shields leads or contributes to several significant research teams and initiatives including the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network, the Randomized Evaluation of Trial Acceptability by Incentive (RETAIN) trial, the Behavioral Economics to Transform Trial Enrollment Representativeness (BETTER) Center, and the Handoffs and Transitions in Critical Care research program. Her role as director of the Biostatistics and Data Science Core at CFAR demonstrates her leadership in HIV research methodology and statistical mentorship.

Scott MorrisView profile

Professor

• Industrial-Organizational Psychology
• Personnel Selection
• Bias and Discrimination in Employment
• +4 more

Scott Morris is a Professor and Nambury S. Raju Endowed Chair in Psychology at Illinois Institute of Technology (IIT), leading the Industrial/Organizational Psychology Program within the Lewis College of Science and Letters. He holds a Ph.D. from the University of Akron (1994) and a B.A. from the University of Northern Iowa (1987). A Fellow of the Society for Industrial and Organizational Psychology and the American Psychological Association, Morris is also an associate editor for the Journal of Applied Psychology . His research focuses on advanced statistical methods in personnel selection systems, including meta-analysis, adverse impact analysis, and computer adaptive testing. He explores bias in subjective hiring practices and develops psychometric models to ensure fairness in employment decisions. Morris’s work bridges quantitative methodology with real-world applications, emphasizing ethical and equitable employment practices. Key research areas include adverse impact measurement, meta-analytic techniques, differential item functioning, and the design of efficient testing systems. He co-authored Adverse Impact Analysis: Understanding Data, Statistics and Risk (2017), a foundational text in the field. Morris’s lab, the Personnel Selection & Analytics Lab , investigates topics like multidimensional adaptive testing and statistical methodologies for EEO compliance. Awards: Fellowships from SIOP and APA, recognition for contributions to organizational psychology and statistical rigor. Media Expertise: Regularly consulted on psychology, data science, and ethics in employment. Labs/Teams: Leads the IIT Personnel Selection & Analytics Lab, focusing on quantitative methods in HR and equity analysis.

Gauthier LanotView profile

Professor

• Empirical Micro-economics
• Econometrics
• Labour Economics
• +3 more

Gauthier Lanot is a Professor at the Umeå School of Business, Economics and Statistics (USBE), Department of Economics, Umeå University. His research focuses on empirical micro-economics, econometrics, labour economics, public economics, and public finance. He holds a PhD from Université Louis Pasteur (1993) and has held positions at Keele University (UK), Laval University (Canada), and Queen's University Belfast (UK). He served as an associate editor for the Journal of the Royal Statistical Society Series A (2010-2013) and on the Danish National Centre for Social Research Advisory Board (2013-2016). His research explores topics such as tax incidence, minimum wage effects, pension policies, and labour market dynamics. Current projects include studies on electricity demand flexibility, military deployment impacts, and taxation responses. Lanot has taught courses like Industrial Economics and Microeconomics Analysis at both undergraduate and graduate levels. He secured grants from Forte and Handelsbanken in 2021, and is affiliated with the Economic Policy Network. Key contributions include analyses of retirement decisions in Denmark, lottery demand modeling, and evaluation of UK economic research performance. His work bridges theoretical econometric methods with applied policy analysis, emphasizing empirical rigor in public finance and labour market studies.

Giovanni ForchiniView profile

Professor

• Econometrics
• Panel Data Analysis
• Health Economics
• +3 more

Giovanni Forchini is a Professor at the Umeå School of Business, Economics and Statistics (USBE), Umeå University, Sweden. His research focuses on econometrics, panel data analysis, and their applications in health economics and epidemiological modeling. He holds the title of Docent, a Swedish academic qualification reflecting advanced expertise. His work bridges theoretical econometrics with practical policy analysis, particularly in pandemic preparedness and healthcare optimization. Research Themes: Econometric methodologies for panel data and structural equation models Quantifying pandemic impacts on healthcare systems and economies Optimization of resource allocation during public health crises Key Contributions: Developed the DAEDALUS model for integrated economic-epidemiological policy simulations Analyzed SARS-CoV-2 transmission dynamics and vaccine impact in multiple countries Pioneered statistical methods for handling multifactor structures in panel data Awards & Grants: USBSE Pedagogical Prize 2020 Funding from Forte (Swedish Research Council for Health, Working Life and Welfare) and Handelsbanken Teaching & Mentorship: Coordinates Master’s theses in Economics at USBSE Teaches advanced courses like Econometrics 1 & 2 and Analysis of Financial Data

Marcel ProkopczukView profile

Professor

• Commodity Markets
• Capital Market Research
• Derivatives
• +3 more

Prof. Dr. Marcel Prokopczuk is a full Professor of Finance and Commodity Markets at Leibniz University Hannover, serving as Dean of the Faculty of Economics and Management since 2024. He holds a Ph.D. from the University of Mannheim and is a CFA Charterholder. His research focuses on commodity markets, capital market dynamics, derivatives, risk management, and household financial decisions. Affiliations: Institute of Finance and Commodity Markets, Leibniz Research Centre Energy 2050, Hannover Center of Finance and Insurance (HCFI). Roles: Editor of the Journal of Commodity Markets , Associate Editor of the Journal of Banking and Finance , and Board Member of CEMA. Research Interests: Commodity markets, derivatives pricing, energy finance, risk management, and the impact of historical factors on financial development. He has published extensively in top journals like Review of Economic Studies and Journal of Banking and Finance . Awards: Includes the Deutsche Bundesbank Prize (2024), FIRN Annual Conference Award (2017), and Best Teaching Award (2015). Grants & Advisory: Member of the German Business Foundation and involved in energy policy initiatives. His work bridges academic research with practical applications in financial markets and commodity pricing.

• Biostatistics
• Public Health
• Data Science
• +3 more

Yuki Ohnishi is a Research Fellow in the Department of Biostatistics at the Yale School of Public Health. Their work focuses on data science and equity in public health, leveraging advanced statistical methods to address complex health challenges. Contact: yuki.ohnishi@yale.edu . While specific research interests are not explicitly detailed in available records, their affiliation with the Department of Biostatistics suggests expertise in areas such as computational epidemiology, health data analysis, and quantitative public health methodologies.

Marty ChamberlainView profile

Lecturer

• Criminology
• Socio-Legal Studies
• Medical Regulation
• +7 more

Dr. Marty Chamberlain is a Lecturer in Criminology at the University of Stirling's Faculty of Social Sciences. His research focuses on professional regulation, medical governance, and the sociological implications of risk within healthcare systems. He has held academic roles at multiple UK universities including Liverpool, Nottingham, and Southampton, and currently leads research in digital justice and automated regulatory systems. His work critiques tribunal processes, particularly their impact on vulnerable populations and procedural fairness. Key affiliations include the British Society for Criminology, Scottish Centre for Crime and Justice Research, and ESRC Peer Review College. He chairs the Virtual Trials National Project Board and advises Edinburgh Women’s Aid on digital court systems. His research explores post-COVID court reforms, AI-driven regulatory tools, and the socio-legal challenges of professional accountability. Chamberlain advocates for quantitative skills education and has pioneered visual learning strategies to reduce statistical anxiety in social sciences. His recent projects examine virtual domestic abuse courts and the ethical use of predictive analytics in healthcare regulation. He holds a doctorate analyzing NHS regulatory failures and has published widely on medical practitioners' disciplinary hearings. Research Themes: Professional regulation, medical ethics, digital justice, criminological theory Grants: ESRC-funded research on data visualization in education (2012-2014) Labs/Groups: Centre for Policy, Conflict and Co-operation (CPCCR); Research into Information, Surveillance and Privacy (CRISP)

Matthew DimickView profile

Professor

• Labor and Employment Law
• Contracts
• Tax Policy
• +6 more

Matthew Dimick is a Professor of Law at the University at Buffalo School of Law and Director of the Baldy Center for Law and Social Policy. His research focuses on labor and employment law, contracts, tax policy, legal theory, law and economics, and the political economy of income inequality. He holds a JD from Cornell Law School and a PhD in Sociology from the University of Wisconsin-Madison, with prior experience at Georgetown University Law Center and the Service Employees International Union. Dimick's research examines the intersection of law and political economy, with current projects on capitalism's relationship with antidiscrimination law and co-editing a volume on Jürgen Habermas's legal theory. His work critically addresses topics including wage regulations, racial reification under capitalism, and tensions between labor rights and antitrust frameworks. His publications demonstrate sustained focus on income inequality mechanisms, with recent analyses of minimum wage impacts, neoliberal data distortions, and redistributive legal frameworks. Articles frequently engage with labor law's philosophical foundations, critiques of market power, and policy alternatives for economic justice. Dimick teaches courses in contracts, labor law, employment discrimination, tax policy, and law & society. He has contributed to public discourse through media outlets like The Atlantic and Jacobin, translating complex legal-economic concepts for broader audiences.

• Information Warfare
• Propaganda Dissemination
• Political Communication
• +3 more

Dr. Mantas Martišius is an Associate Professor at the Faculty of Communication, Vilnius University, specializing in the Centre for Journalism and Media Research. His work focuses on information warfare, propaganda dissemination, political communication, and media studies. He holds a PhD in Information Warfare from Vilnius University (2007), with a dissertation analyzing the impact of information warfare during the Second Chechen War. His research explores topics such as Russian information warfare tactics, media market transformations, and the role of media in conflict zones. He has contributed to peer-reviewed journals like Informacijos mokslai and Žurnalistikos tyrimai . Martišius frequently engages in science promotion, discussing media literacy and information warfare on platforms like LRT Radijo and Bernardinai.lt . He has served on doctoral defense committees for studies addressing topics like the influence of Russian media on Baltic perceptions and the analysis of Soviet-era films in Lithuanian media. His work emphasizes the societal impact of media narratives and the need for critical media literacy in combating misinformation.