جست‌وجوی استاد و پژوهشگر

• Public Health Management
• Healthcare Economics
• Long-Term Care Financing
• +۵ مورد دیگر

Matthias Wächter is a Lecturer at the Lucerne School of Business (HSLU) within the Institute of Business and Regional Economics (IBR PNM), focusing on Public and Nonprofit Management. He holds a Dr. sc. nat. (PhD) and Dipl.-Chem. (Diploma in Chemistry) from ETH Zürich. His career includes roles as a research assistant at EAWAG, program manager at Collegium Helveticum, and leadership positions in Swiss social policy organizations. His research emphasizes healthcare financing, long-term care systems, and public health management. Key research interests include the economic analysis of healthcare systems, home care coordination, palliative care models, and policy reforms for integrated health services. Notable projects include studies on home care agency frameworks, cost structures of non-profit healthcare providers, and simulation models for disease management. He has contributed to policy reports on healthcare financing and palliative care accessibility in Switzerland. Publications highlight his work on regulatory impacts in home care, healthcare resource allocation challenges, and economic sustainability of long-term care systems. He actively participates in policy discussions, such as debates on potential long-term care insurance models and aging population strategies. He serves as a board member of the Swiss Association for Social Policy, furthering interdisciplinary dialogue on social and healthcare policies. His advisory work spans strategic planning for municipalities, health infrastructure projects, and nonprofit organizational development. Key projects include the «SPOTnat» study on home care coordination and the analysis of palliative care needs in cantons Luzern and Basel-Stadt.

• Health economics
• Health technology assessment
• Measurement of quality of life
• +۴ مورد دیگر

Jane Hall is a Distinguished Professor of Health Economics at the Centre for Health Economics Research and Evaluation (CHERE) within the Faculty of Health at the University of Technology Sydney (UTS). She is a Fellow of the Academy of Social Sciences in Australia and a Fellow of the Australian Academy of Health and Medical Sciences. Professor Hall serves on the Independent Health and Aged Care Pricing Authority and has been instrumental in shaping health economics research and policy in Australia through her extensive national and international committee work. Professor Hall earned her PhD from the University of Sydney in 1994. She was the founding Director of CHERE, established in 1990, and led the center until 2012. Her leadership has significantly contributed to the development of health economics as a discipline in Australia, building institutional capacity and professional networks that continue to influence health policy development. Professor Hall's research program spans multiple dimensions of health economics, with a current focus on healthcare financing and funding mechanisms to improve system performance. Her work examines health technology assessment, measurement of quality of life, end-of-life care economics, health workforce issues, and primary care economics. Recent publications reveal a strong emphasis on out-of-pocket costs, Medicare sustainability, geographic disparities in healthcare access, and value-based payment reform. Her methodological approaches include sophisticated econometric analyses, discrete choice experiments, and health services research designs that bridge theoretical economics with practical policy applications. Her scholarly contributions demonstrate consistent thematic development across healthcare financing models, with particular attention to equity implications and system performance metrics. The articles show progression from foundational work on health technology assessment to current research addressing complex challenges in healthcare financing amid rising costs and demographic pressures. Officer in the Order of Australia (AO) 2023 Fellow of the Academy of Social Sciences in Australia Fellow of the Australian Academy of Health and Medical Sciences UTS Distinguished Service Award 2019 National Health and Medical Research Council Outstanding Contribution Award 2017 Australian Financial Review/Westpac 100 Women of Influence 2016 Inaugural Professional Award of the Health Services Research Association of Australia and New Zealand 2011 Professor Hall has been actively engaged in professional leadership throughout her career, serving as Past President of the Academy of Social Sciences in Australia, the Health Services Research Association of Australia and New Zealand, and the International Health Economics Association. Her work has attracted significant research funding through collaborations with government bodies seeking evidence to inform health policy decisions. She maintains an extensive international network through her long-term involvement with the Commonwealth Fund International Program in Health Policy and Practice. As founder and former Director of CHERE, Professor Hall established a vibrant research center that brings together interdisciplinary teams working collaboratively with policymakers, healthcare providers, and other stakeholders. The center continues to conduct high-impact research addressing complex challenges in healthcare financing and delivery, building on the foundation she established over three decades ago.

Dimitrina Dimitrovaمشاهده پروفایل

استاد

• Actuarial Science
• Risk Management
• Insurance
• +۳ مورد دیگر

Dr Dimitrina Dimitrova is a Professor of Actuarial Science & Insurance at the Faculty of Actuarial Science and Insurance (FASI), Bayes Business School, City St George's, University of London. She has held roles since 2004, including RCUK Academic Fellow (2008–2010) and has been recognized for research and teaching excellence. Education: BSc, Sofia University MSc (Distinction) in Applied Mathematics, Sofia University PhD in Actuarial Science, City, University London (2008) Postgraduate Certificate in Academic Practice (Distinction), City, University London Research Interests: Focuses on actuarial statistics, derivatives, simulation methods, risk management, and insurance sectors. Expertise spans life/non-life insurance, reinsurance, and financial services across North America and Europe. Awards: Certificate for Excellence in Undergraduate Teaching (2013) Five Year Certificate of Achievement (CFA Institute, 2011) University Staff 2010 Excellence in Research Prize Certificate for Excellence in Research (2009) Professional Roles: CFA charterholder (since 2006), Fellow of the Higher Education Academy (2011), and former Risk Analyst at Bulgaria's Central Bank (2001–2003).

Archer Yangمشاهده پروفایل

دانشیار

• Statistical machine learning
• High-dimensional statistics
• Computational statistics
• +۸ مورد دیگر

Archer Yang is an Associate Professor in the Department of Mathematics and Statistics at McGill University, with additional affiliations as an Associate Academic Member of Mila - Quebec AI Institute, Associate Member of the School of Computer Science, and Member of the Quantitative Life Science Program. His academic journey began with a PhD from the University of Minnesota under the supervision of Hui Zou, establishing his foundation in statistical methodology and machine learning. Dr. Yang's research spans three interconnected themes: statistical machine learning, applications in drug discovery, and computational genomics and healthcare. In statistical machine learning, he focuses on developing dimensionality reduction, probabilistic models, and causality-inspired methods to address complex high-dimensional data challenges. His work in drug discovery involves creating machine learning models to accelerate drug candidate identification and enhance understanding of drug efficacy and safety. In computational genomics and healthcare, he develops techniques to analyze genomic data, identify biomarkers, and explore the genetic basis of diseases, with the goal of improving precision medicine and predicting patient outcomes. His overarching objective is to bridge advanced data-driven methodologies with impactful applications in pharmacology, genomics, and healthcare. His recent publications reveal a strong trend toward applying machine learning to healthcare challenges, particularly in congenital heart disease analysis, mortality prediction, and drug discovery. His work demonstrates expertise in developing interpretable models that can handle complex, high-dimensional biomedical data while maintaining statistical rigor. The integration of causal inference methods with machine learning appears to be a growing focus in his research trajectory. ICML Spotlight Paper (top 2.6%, 313/12,107) Dr. Yang actively supervises a large research group including multiple postdoctoral fellows, PhD students, and Master's students. His lab has developed several notable software tools, including ml-mr for machine learning in Mendelian randomization. His supervision extends across statistics, computer science, and biomedical applications, reflecting the interdisciplinary nature of his work. He appears to maintain strong collaborative relationships with researchers in healthcare and genomics fields. His laboratory, the Archer Yang Lab, maintains active GitHub repositories focused on machine learning applications in healthcare and drug discovery, with particular emphasis on interpretable models and statistical methodology development. The lab appears to work at the intersection of theoretical statistics and practical biomedical applications, with projects spanning from algorithm development to clinical implementation.

Peter Sestoftمشاهده پروفایل

استاد

• Programming Languages
• Software Development
• Parallel Programming
• +۴ مورد دیگر

Peter Sestoft is a Professor at the IT University of Copenhagen (ITU), leading the Computer Science Department since 2017. His primary roles include academic leadership, research in programming languages and software engineering, and teaching. He holds a PhD in Computer Science from the University of Copenhagen (1991) and has held academic positions at institutions like the Royal Veterinary and Agricultural University and the Technical University of Denmark before joining ITU in 1999. His research focuses on programming languages, functional and managed object-oriented languages, parallel programming, compilers, and spreadsheet implementation technologies. He has developed influential tools like the C5 Generic Collection Library for C# and Moscow ML, a Standard ML implementation. His work on Funcalc and Corecalc advanced spreadsheet technology with user-defined functions and efficient recalculation algorithms. Key contributions include over 30 publications, including books on programming language concepts and Java/C# syntax. He has led major research projects such as 'Popular Parallel Programming' (P3) and 'Probabli' for actuarial calculations. His academic service includes roles on national grant committees and international conference organizing committees. Notable advising includes PhD students like Andrzej Wasowski (ITU Professor) and David Christiansen (Director of Haskell Foundation). His work has been recognized through grants exceeding 25 million DKK and collaborations with institutions like Microsoft Research and Harvard University.

Gareth Petersمشاهده پروفایل

استاد

• Actuarial Science
• Statistical Risk Modeling
• Financial Engineering
• +۵ مورد دیگر

Professor Gareth Peters is the Janet & Ian Duncan Endowed Chair of Actuarial Science and holds the Chair in Statistics for Risk and Insurance at the Department of Statistics & Applied Probability, University of California Santa Barbara (UCSB). His research focuses on statistical solutions for risk and insurance, with emphasis on actuarial science, financial engineering, environmental data analysis, and cybersecurity risk. He has received notable recognition including the 2024 IFoA Peter-Clark Prize, the oldest actuarial award established in 1891. His academic contributions span advanced statistical modeling techniques for financial markets, climate-related risk analysis, and healthcare analytics. Notable projects include developing methodologies for green bond valuation, cyber insurance frameworks, and machine learning applications in audiology and speech disorders. He has pioneered software tools such as CovRegpy for covariance regression and DivFolio for portfolio divestment analysis. Educations: Advanced degrees in statistics and actuarial science (specific details not provided) Professional Memberships: Fellow of multiple academic societies including the Royal Statistical Society and Institute of Mathematics and its Applications Research interests include: Statistical causality in financial and environmental time series Mortality modeling incorporating long-memory processes Quantifying climate change impacts on energy consumption Machine learning for cybersecurity risk mitigation His recent work emphasizes interdisciplinary applications of statistics in climate finance, sustainable investing, and precision agriculture. Over 2020-2025, his publications explore topics ranging from municipal green bonds to vocal analysis for Parkinson’s diagnostics. Awards: 2024 IFoA Peter-Clark Prize Elected Member of ISI (International Statistical Institute) IEEE Senior Member Labs/Initiatives: Develops open-source software packages for statistical analysis (e.g., AdvEMDpy, PyKronecker) and contributes to regulatory frameworks via tools like AuditChain for blockchain-based trading audits.

Joy Jiaمشاهده پروفایل

مدرس ارشد

• Financial Economics
• Empirical Finance
• Risk Management
• +۵ مورد دیگر

Dr. Joy Jia is a Senior Lecturer in the Accounting and Finance division at the Swansea University School of Management , UK. She holds an MSc in Management (Finance) with distinction from Swansea University and a PhD in Management from the University of Bath. Education: MSc (Swansea), PhD (Bath) Research Focus: Financial economics, empirical finance, risk management, corporate governance, asset pricing, and emerging markets Supervision: Co-supervises doctoral research including topics on ESG performance and sovereign credit models Teaching: Undergraduate and postgraduate courses on risk management, asset pricing, financial institutions, and investment banking Her research explores the intersection of risk management and strategic finance, with a focus on corporate insurance strategies in China and India, managerial entrenchment, and asset valuation models in emerging markets. Recent work examines AI-driven literature search methods for education and rental market dynamics near universities. Notably, she has contributed to leading journals such as the European Journal of Finance , Asia Pacific Journal of Management , and Business History , alongside conference proceedings like INTED 2025 . Her work bridges historical and contemporary financial practices, emphasizing empirical validation. Email: y.jia@swansea.ac.uk | Location: Second floor, Bay Campus

Maria Giuseppina Brunoمشاهده پروفایل

دانشیار

• Financial and Actuarial Mathematics
• Quantitative Methods for Economics, Finance and Insurance
• Valuation of Derivative Financial Instruments
• +۷ مورد دیگر

Maria Giuseppina Bruno is an Associate Professor in the Department of Methods and Models for Economy, Territory, and Finance (MEMOTEF) at Sapienza University of Rome's Faculty of Economics. She has been serving in this capacity since December 29, 2003, specializing in the scientific disciplinary sector STAT-04/A (Mathematical Methods of Economics and Actuarial and Financial Sciences). Her institutional email is Giuseppina.Bruno@uniroma1.it and she maintains office hours at room 149 on the first floor, wing B of the MEMOTEF Department. Her academic background includes a PhD in 'Mathematics for Financial Market Analysis' from the University of Brescia (1995), where she defended her thesis 'Memory functions as a tool for evaluating American options,' and a first-class honors degree in Economics and Commerce from LUISS University of Rome (1990) with thesis 'Valuation of convertible bonds. An interpretation using physics models.' Professor Bruno's research spans financial and actuarial mathematics, quantitative methods for economics and finance, derivative instrument valuation, risk management models, stochastic processes, and computational methods. Her work demonstrates strong interdisciplinary connections between mathematics, finance, insurance, and even physics through her interest in econophysics and applications of physical models to financial problems. Her recent publications show a consistent focus on innovative insurance products, risk modeling, and financial engineering. From Tailor-made CDOs (2024) to Pay-as-you-drive insurance models (2023) and specialized insurance products like ALEA and MICROTAKAFUL (2021), her research addresses contemporary challenges in risk transfer mechanisms and insurance market dynamics. Her work on long-term care annuities (2020) and option pricing with stochastic volatility (2019) demonstrates expertise in both theoretical and practical aspects of financial mathematics. As a respected academic, she serves as Managing Editor of Annali MEMOTEF and referees for prestigious journals including Insurance: Mathematics and Economics. She has been actively involved in professional organizations including AMASES, AAI, and Istituto Italiano degli Attuari. Professor Bruno currently teaches Actuarial Mathematics for Private Insurance (Master's Degree in Finance and Insurance) and Basic Mathematics course (Bachelor's Degree in Economics and Finance). She has extensive experience in curriculum development, serving as reference teacher for the Master's Degree Course FINASS and as tutor for the Bachelor's Degree in Economics and Finance. Her institutional service includes membership on various committees related to quality assurance, publications, and doctoral programs. Her professional activities extend beyond academia, with participation in Bank of Italy examination boards (2016, 2019, 2023) and previous teaching roles for financial professionals at INPDAP and Banca di Roma. Her technical expertise includes programming in C++, VBA, and Python, which supports her computational research in financial mathematics.

• Disability Studies
• Social Inclusion
• Aging and Disability
• +۳ مورد دیگر

Caroline Ellison is an Associate Professor and Program Director of the Bachelor of Social Science (Ageing and Disability) at the University of South Australia, within the UniSA Justice and Society department. Her work focuses on disability studies, social inclusion, and aging populations. She has conducted extensive research on social media use among people with disabilities, leisure and retirement planning for individuals with intellectual disabilities, and policy analysis related to disability support systems. Key contributions include evaluations of the National Disability Insurance Scheme (NDIS) and studies on virtual reality applications in disability care. Her interdisciplinary approach bridges academic research with practical policy recommendations. Research interests span social connectedness, technology integration in disability support, end-of-life care for people with disabilities, and inclusive sports initiatives. She has authored/co-authored over 30 peer-reviewed articles and reports, including influential works on transitional housing for NDIS participants and peer support programs for people with physical disabilities. Ellison is actively involved in community engagement and serves as a research degree supervisor.

Anas Abdallahمشاهده پروفایل

دانشیار

• Actuarial Science
• Insurance Mathematics
• Loss Reserving Models
• +۵ مورد دیگر

Anas Abdallah is an Associate Professor in the Department of Mathematics and Statistics at McMaster University. His research focuses on actuarial science, particularly in loss reserving, stochastic modeling, and the application of machine learning techniques such as recurrent neural networks (RNNs) to insurance risk analysis. He specializes in dependence modeling using copulas and Sarmanov distributions to address multivariate insurance claims and risk capital analysis. Education: PhD in Actuarial Science, Université Laval (2016) MSc in Mathematical Engineering and Modeling, Institut National des Sciences Appliquées (2009) Research Interests: Develops methods for multivariate loss reserving and risk capital estimation Applies hierarchical Archimedean copulas and RNNs to model dependencies between loss triangles Explores stochastic reserving techniques and alternative actuarial provisioning strategies Teaching: Instructor for courses such as Actuarial Models in Non-Life Insurance, Financial Markets and Derivatives, and Statistics of Financial Data Has taught across multiple levels including undergraduate (MATH 2FM3), graduate (STATS 4G03), and professional programs (MFM 704) Grants and Labs: No specific grants or lab affiliations explicitly listed, though his research indicates involvement in collaborative projects in actuarial science and financial mathematics.

Simone Krummakerمشاهده پروفایل

دانشیار

• Insurance
• Risk Management
• ESG in Insurance
• +۵ مورد دیگر

Dr. Simone Krummaker is an Associate Professor of Insurance and Associate Dean of the MSc Programmes at Bayes Business School, City St George’s, University of London. She holds a Dr. rer. pol. from Leibniz University of Hannover and is a certified insurance professional (Versicherungskauffrau) with over 10 years of industry experience in underwriting and controlling. Her research focuses on organizational insurance demand, ESG integration in insurance, and export credit insurance. She has led multiple grant-funded projects and serves as a Fellow at Offenburg University of Applied Sciences and the Higher Education Academy. Education: Doctor rer. pol., Leibniz University of Hannover Diplom-Ökonom (Business Economics), Leibniz University of Hannover Higher Education Academy Fellowships (United Kingdom) Research Interests: Simone explores how firms strategically manage insurance demand, particularly in export and political risk contexts. She evaluates the role of ESG frameworks in shaping insurance practices and advises organizations on mitigating geopolitical trade risks. Her work bridges academic theory with practical applications, as seen in her consulting for export finance institutions. Awards: Fellow, Higher Education Academy Senior Fellow, Advance HE Institute for Trade and Innovation Fellowship Advising & Grants: Simone has secured grants for projects on export credit markets and co-authored over 40 publications. She oversees MSc programmes and mentors students in actuarial science and insurance domains. Labs/Teams: Active in Bayes’ Centre for Risk and Insurance, leading interdisciplinary projects on global trade finance and sustainable insurance practices.

Angela Dewمشاهده پروفایل

استاد

• Disability and Inclusion
• People with cognitive disability
• Complex support needs
• +۹ مورد دیگر

Professor Angela Dew is the Discipline Lead for Disability and Inclusion at Deakin University's School of Health and Social Development within the Faculty of Health. With over 40 years of experience in the Australian disability sector and academic work since 2011, she leads the Disability and Inclusion research stream, focusing on participatory and co-designed research involving people with disability and complex support needs, including those from refugee backgrounds. Professor Dew earned her PhD from The University of Sydney in 2011 and completed her Masters (Hons) from the University of Western Sydney in 2005. Her academic journey reflects a deep commitment to disability inclusion and rights-based approaches to research and practice. Her research centers on understanding the lived experiences of people with disability and their families, with particular attention to those from refugee backgrounds, Aboriginal and Torres Strait Islander communities, and rural and regional settings. Professor Dew employs innovative arts-based research methods and maintains a strong human rights framework in all her work. Her research interests span complex support needs, LGBTQI issues in disability, dementia, abuse prevention, and sexuality and relationships. She fundamentally believes that 'all people are entitled to fairness, equity and a good life,' which drives her research and teaching philosophy. Professor Dew's publication record reveals a consistent focus on disability inclusion, with increasing emphasis on intersectional approaches that examine how disability intersects with refugee status, cultural background, and geographic location. Her recent work shows sophisticated methodological approaches, particularly in arts-based methods like body mapping and photovoice, which empower participants to express their experiences in non-traditional ways. As an educator, Professor Dew teaches in the postgraduate Masters of Disability and Inclusion program and contributes to undergraduate units. She actively supervises PhD students working on diverse aspects of disability research, including Phuong Do, Tom Voigt, Jane Adams, Peter Conway, and Simone Rowe, among others. Professor Dew has secured significant research funding from the National Disability Research Partnership, Australian Research Council Discovery, and UNSW Disability Innovation Institute. Her major projects include 'Co-designing Resources to Increase Access to Information and Services' for Syrian and Iraqi people with disability from refugee backgrounds, 'Women marginalised by mental health, disability or refugee status,' and 'Planning for a better life under the National Disability Insurance Scheme' for Aboriginal and Torres Strait Islander people with disability.

Megan E. Vannemanمشاهده پروفایل

دانشیار

• Health Services Research
• Health Policy
• Health Economics
• +۷ مورد دیگر

Megan E. Vanneman, PhD, MPH , is an Associate Professor with tenure at the University of Utah School of Medicine , affiliated with the Department of Internal Medicine , Division of Epidemiology, and the Department of Population Health Sciences , Division of Health System Innovation and Research. She is also a Core Investigator at the VA Salt Lake City Health Care System's IDEAS Center and co-leads the ACCENT CORE consortium. Dr. Vanneman earned her PhD in Health Services and Policy Analysis from UC Berkeley MPH in Health Policy and Management from Columbia University BA in Human Biology from Stanford University before completing a postdoctoral fellowship at the VA Palo Alto and Stanford University School of Medicine . Her research focuses on policy impacts on access, quality, and cost in healthcare systems like Medicaid and the Veterans Health Administration (VHA), particularly for mental health and substance use disorders . She employs mixed-methods combining econometrics, biostatistics, and qualitative interviews. Recent publications highlight her work on VA/non-VA care coordination opioid safety in community care mental health service disparities traumatic brain injury outcomes , reflecting a trend toward health equity and systemic policy evaluation . She teaches research methods and health policy , and her lab team includes data scientists and statisticians like Erin Beilstein-Wedel and Warren Pettey . Her work informs national policies on VHA care expansion and integrated healthcare delivery .

Kamila Cygan-Rehmمشاهده پروفایل

استاد

• Labor Economics
• Education Economics
• Health Economics
• +۳ مورد دیگر

Kamila Cygan-Rehm is a Professor at Friedrich-Alexander University Erlangen-Nuremberg (FAU), specializing in the econometric evaluation of policy interventions. Her research examines parental allowance systems, prenatal care incentives, compulsory schooling extensions, citizenship law reforms, and mini-jobs regulations using high-quality administrative datasets and representative surveys. Her primary research interests include Labor Economics, Education Economics, Health Economics, Migration Economics, and Public Policy Evaluation. She employs rigorous causal analysis methods to isolate policy effects, revealing critical insights such as improved newborn health from prenatal care incentives, enhanced educational outcomes for migrant children with early citizenship acquisition, and unintended displacement of social insurance employment due to mini-jobs reforms in small businesses. Analysis of her 2025-2018 publications shows consistent methodological rigor in life-cycle policy evaluation, with dominant themes in education duration impacts, parental leave consequences, payroll tax subsidy efficacy, and citizenship policy outcomes. Her work bridges econometric theory with practical policy design through administrative data integration. Scientific Awards: FAU Award 2024 Her empirical work leverages Federal Employment Agency process data, official birth registers, and microcensus surveys combined with self-collected policy frameworks. As a reviewer for academic journals (2013-2014 submissions), she contributes to scholarly discourse while maintaining focus on generating robust evidence for labor market and social policy design.

• Labor Economics
• Health Economics
• Environmental Economics
• +۷ مورد دیگر

Peter Nilsson is a Professor of Economics at the Institute for International Economic Studies (IIES), Stockholm University, where he has held academic positions since 2011, rising from Assistant to Full Professor. He is also a guest professor at Linnaeus University and a research fellow at IFAU, Uppsala Center for Labor Studies, CESifo, and CEPR. His academic journey includes a postdoctoral fellowship at Stanford University’s SIEPR and a visiting research role at Princeton University. His research centers on labor, health, and environmental economics, with a strong emphasis on identifying causal effects using natural experiments and administrative data. Key areas include the long-term impacts of early-life exposures (alcohol, lead, pollution) on health and economic outcomes, peer effects in the workplace, unemployment insurance design, and environmental policy. He has made significant contributions to understanding how prenatal conditions affect adult mental health and how congestion pricing improves child respiratory health. His recent publications appear in top-tier journals such as the American Economic Review , Journal of Political Economy , and Journal of Health Economics . The research shows a consistent focus on policy-relevant questions, often informing public debate and government commissions, including the Swedish Corona Commission and U.S. legislative hearings on lead exposure. Scientific Awards and Affiliations: Research Fellow, IFAU Research Fellow, Uppsala Center for Labor Studies Research Fellow, CESifo Research Fellow, CEPR Guest Professor, Linnaeus University Associate Editor, The Economic Journal (since 2021) Nilsson advises and collaborates extensively with PhD students and researchers across institutions, though formal advisees are not explicitly listed. His work is supported by major research grants from Swedish and international funding bodies, though specific grants are not detailed. He is actively involved in peer review for leading economics journals. He leads and contributes to research teams at IIES, IFAU, and international collaborations, particularly in studies using Swedish administrative data. His lab-like environment involves large-scale data analysis and policy evaluation, often in interdisciplinary settings combining economics, epidemiology, and public health.