جست‌وجوی استاد و پژوهشگر

I. Glenn Cohenمشاهده پروفایل

استاد

• Bioethics
• Health Law
• Medical Ethics
• +۶ مورد دیگر

I. Glenn Cohen is the James A. Attwood and Leslie Williams Professor of Law at Harvard Law School and Faculty Director of the Petrie-Flom Center for Health Law Policy, Biotechnology & Bioethics. He holds a JD from Harvard Law School (2003) and a B.A. in Bioethics and Psychology from the University of Toronto (2000). His work bridges bioethics and law, focusing on reproductive technologies, AI in healthcare, FDA regulation, and medical tourism. Cohen has authored over 300 articles and 20 books, including influential texts like Patients with Passports and Big Data, Health Law, and Bioethics . He advises governments and corporations on health law, including recent work on psychedelic drug regulation and AI-driven medical liability frameworks. Key achievements include the 2017 HLS Teaching Award, Greenwall Faculty Scholar Award (2012), and election to the National Academy of Medicine. Cohen leads major initiatives like the Project on Precision Medicine, Artificial Intelligence, and the Law (PMAIL) and Diagnosing in the Home project. His research also addresses global health equity, NFL player health policy, and ethical challenges in emerging technologies. Active in public engagement, he created Harvard's Bioethics MOOC (83K+ students) and the Zero-L law school preparation course. His scholarship spans interdisciplinary collaborations, including work on mitochondrial replacement therapy, fetal pain jurisprudence, and the legal implications of life extension technologies. Cohen frequently testifies before legislative bodies, advises multinational companies, and serves on editorial boards like the Journal of Law and the Biosciences . His current projects tackle AI ethics, psychedelic patents, and the intersection of quantum technology with healthcare governance.

Lea Petrellaمشاهده پروفایل

استاد

• Quantile regression
• Graphical models
• Random Forest
• +۳ مورد دیگر

Lea Petrella is a Full Professor at the Department of Methods and Models for Economics, Territory, and Finance, Sapienza University of Rome. She teaches courses in Time Series Analysis and Advanced Statistical Methods , focusing on practical applications using R software. Research Interests: Quantile regression, Graphical models, Hidden Markov Models, Risk measures, and Time Series analysis Key Projects: Generalized Dynamic Graphical Models for pandemic impacts, Penalized quantile regression for risk assessment, Multivariate quantile regression frameworks Her recent publications include: 2025: Mid-quantile mixed graphical models for public shootings 2025: Spatial quantile random forests for economic mobility 2024: Expectile hidden Markov models for cryptocurrency returns 2024: Mixed-frequency quantile regressions for risk forecasting She supervises postdocs and PhD students including Maria Saiz, Beatrice Foroni, and Valentina Raponi. Her work spans financial risk modeling, environmental statistics, and biomedical applications. Email: Lea.Petrella@uniroma1.it or lea.petrella@uniroma1.it

Melanie Mortenمشاهده پروفایل

پژوهشگر

• Development Economics
• Spatial Economics
• Migration
• +۵ مورد دیگر

Melanie Morten is a Research Associate at Stanford University's Department of Economics within the School of Humanities and Sciences. Her work bridges development economics and spatial economics, focusing on migration, risk sharing, labor markets, and trade dynamics in low- and middle-income countries. Current Position: Research Associate, Stanford University Research Domains: Development Economics, Spatial Economics, Migration Collaborative Projects: Network-based hiring, border wall impacts, seasonal migration subsidies in Bangladesh Her research explores how spatial frictions like migration costs and infrastructure affect economic outcomes, including productivity, trade, and risk sharing. She employs randomized controlled trials, structural models, and field experiments to analyze migration's role in informal insurance, labor market integration, and urban development. Recent work examines gentrification's inequality effects, transportation's influence on migration patterns, and network hiring's dual impact on firms in developing economies. The evolving focus spans from localized labor dynamics to global migration policy implications. Morten has contributed to leading journals and working paper series, with media coverage from The Economist , The Washington Post , and VoxEU . She co-leads the Stanford Guestworker Migration Initiative, applying her findings to real-world policy challenges. Key Collaborators: Gharad Bryan, Ahmed Mushfiq Mobarak, Arun Chandrasekhar Policy Relevance: Labor mobility, regional inequality, development strategies Current Projects: Spatial economics frameworks for urbanizing economies

• Risk Analysis
• Actuarial Science
• Insurance Economics
• +۳ مورد دیگر

Montserrat Guillén Estany is a Professor of Quantitative Methods for Economics and Business at the University of Barcelona's Faculty of Economics and Business since 2001. She serves as Vice-Secretary of the Governing Board at the Royal Academy of Economic and Financial Sciences (RACEF) and directs the consolidated Risk in Finance and Insurance research center (UBriskcenter), which comprises 25 permanent researchers and 25 international affiliates. She also holds an Honorary Visiting Professorship at City, University of London. Bachelor of Science in Mathematics (Mathematical Statistics), University of Barcelona (1987) PhD in Economics and Business Administration, University of Barcelona (1992) Master's in Data Analysis, University of Essex, UK Visiting researcher: University of Texas at Austin, University of Paris II, University of California-Berkeley, University of Cambridge Her research focuses on risk analysis and actuarial science , particularly developing statistical methods for insurance applications. She pioneered work in operational risk modeling and quantitative approaches to insurance economics, establishing herself as the top-cited woman in Actuarial Sciences and second in Insurance. Her work bridges theoretical statistics with practical insurance industry applications, emphasizing computational methods and real-world data analysis. The 15 most recent publications demonstrate consistent leadership in actuarial methodology innovation , with increasing integration of machine learning techniques since 2020. Her research spans cyber risk, climate risk, longevity modeling, and regulatory compliance, maintaining strong connections to industry needs while advancing theoretical frameworks. Recent work shows particular emphasis on non-traditional data sources and computational approaches to complex risk scenarios. ICREA Academia distinction (2012, 2019) - only social sciences researcher to receive twice Casualty Actuarial Society honor (USA) Julio Castelo International Insurance Prize Honorary member, College of Actuaries of Catalonia Professor Guillén has supervised 17 doctoral theses at the University of Barcelona and co-supervised two internationally. She serves on numerous doctoral committees globally and participates in professor selection committees across Europe and North America. Her research has secured funding from Mapfre Foundation, BBVA Foundation, European Commission H2020, and other major institutions. She leads the UB-Zurich Chair of Insurance and UB-Mutualidad de la Abogacía Chair, focusing on actuarial innovation and aging economics research. As director of UBriskcenter, she leads a multidisciplinary team of 50 researchers conducting cutting-edge work in financial and insurance risk. The center maintains strong industry partnerships and international academic collaborations, particularly through the European Group of Risk and Insurance Economists which she previously presided over.

Liyuan Linمشاهده پروفایل

مدرس ارشد

• Actuarial Science
• Quantitative Risk Management
• Dependence and Risk Aggregation
• +۴ مورد دیگر

Liyuan Lin is a Senior Lecturer in the Department of Econometrics & Business Statistics at Monash University's Faculty of Business and Economics. He holds a PhD in Actuarial Science from the University of Waterloo, awarded in 2024. His academic work centers on advanced risk modeling and actuarial theory. Research Interests: Actuarial Science Quantitative Risk Management Dependence and Risk Aggregation Stochastic Control Risk Measures and Diversification Reinsurance Strategy and Market Competition His recent publications, appearing in top journals such as Management Science , Mathematics of Operations Research , and Scandinavian Actuarial Journal , reflect a strong focus on theoretical and applied aspects of risk modeling. Key themes include diversification measurement, optimal reinsurance under competition, calibration of risk models, and structural dependence in multivariate settings. His work often involves deep mathematical analysis and collaboration with leading scholars in actuarial mathematics. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no explicit information available regarding student supervision, grant funding, or advisory roles. However, given his active publication record and position as a Senior Lecturer, it is likely that he mentors students and participates in research projects, though specifics are not disclosed in the source material. Labs and Research Teams: No specific lab or research group is mentioned. However, his collaborations suggest active participation in the broader actuarial and quantitative risk research network, particularly with researchers at institutions connected to the University of Waterloo and international actuarial research centers.

Jean-François Béginمشاهده پروفایل

دانشیار

• Actuarial Science
• Financial Mathematics
• Financial Econometrics
• +۹ مورد دیگر

Jean-François Bégin is an Associate Professor in the Department of Statistics and Actuarial Science at the Faculty of Science, Simon Fraser University. He is a Fellow of both the Society of Actuaries and the Canadian Institute of Actuaries, underscoring his expertise and leadership in actuarial science and financial risk modeling. He obtained his academic training from leading Canadian institutions: a PhD in Administration (Financial Engineering) from HEC Montréal under the supervision of Geneviève Gauthier; an MSc in Mathematics (Applied Mathematics) from Université de Montréal supervised by Mylène Bédard and Patrice Gaillardetz; and a BSc in Mathematics (Financial Mathematics) from the same university. His thesis work centered on simulation schemes for stochastic models in finance. His research lies at the intersection of actuarial science, financial econometrics, and quantitative finance, with major themes including stochastic volatility modeling, filtering methods, option pricing, pension economics, mortality forecasting, credit risk, and climate risk. He develops advanced statistical and computational methods to model financial and insurance risks under uncertainty. His recent publications—appearing in journals such as Management Science , Journal of Econometrics , Insurance: Mathematics and Economics , and North American Actuarial Journal —reflect a strong trend toward integrating econometric modeling with practical applications in pensions, insurance, and derivatives. His work increasingly explores collective risk-sharing mechanisms in pension pools, model uncertainty in economic scenario generation, and the use of high-frequency and aggregated data in risk modeling. His scientific contributions have been recognized through fellowships in two of the most prestigious actuarial bodies: Fellow of the Society of Actuaries Fellow of the Canadian Institute of Actuaries He is an active supervisor of graduate and undergraduate students, mentoring research in areas such as financial econometrics, Bayesian estimation, pension pooling, climate risk, and option pricing. He has advised numerous Master’s and doctoral students and welcomes new applicants with strong quantitative skills. He has also contributed to funded research and industry-oriented reports, particularly through collaborations with the Society of Actuaries and the Canadian Institute of Actuaries. He teaches advanced courses in financial economics, stochastic processes, Monte Carlo simulation, and actuarial communication at SFU, and previously taught at HEC Montréal and Université de Montréal. His research group engages with interdisciplinary challenges in risk modeling and continues to develop innovative frameworks for actuarial and financial decision-making.

Aidan Slingsbyمشاهده پروفایل

مدرس ارشد

• Data Visualization
• Geographic Information Systems (GIS)
• Spatial Analysis
• +۵ مورد دیگر

Dr. Aidan Slingsby is a Senior Lecturer in the Department of Computer Science at City, University of London, where he is part of the giCentre Research Centre. He serves as the Director of the MSc in Data Science programme and oversees the department's entire postgraduate offerings. His academic career at City spans over a decade, progressing from Research Fellow to his current position as Senior Lecturer since 2018. His educational background includes: PhD in Geography from University College London (2006) MSc in Geographical Information Science from University of Edinburgh (2002) BSc (Hons) in Geology from University of Edinburgh (2001) Dr. Slingsby's research focuses on data visualization for spatial and temporal data analysis. His work involves creating, designing, applying and evaluating both static and interactive information visualization techniques for data exploration and analysis. He specializes in integrating cartographic principles with information visualization methodologies to address complex analytical challenges. His research spans multiple application domains including insurance risk modeling, population studies, human movement patterns, animal tracking, and ecological monitoring. He has developed innovative visualization techniques such as glyphmaps, tilemaps, and OD maps that enable analysts to explore complex multivariate spatial datasets effectively. His publication record demonstrates a consistent focus on advancing visualization techniques for spatial-temporal data, with recent work exploring intersections with emerging technologies like large language models and advanced train delay modeling. His research shows a clear trajectory from foundational work in cartographic visualization to increasingly sophisticated applications in domains ranging from pandemic modeling to rail performance analysis. Notable scientific achievements include: Best VIS Short Paper award for 'Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling' at IEEE VIS conference Multiple honorable mentions for visualization innovations Efficient Use of Visualization award for network monitoring visualization Dr. Slingsby has successfully supervised multiple PhD students to completion and currently mentors several doctoral candidates working on cutting-edge visualization research. He has secured funding for significant projects including an EPSRC-funded multi-university initiative on visual analytics for combating COVID-19 and industry collaborations with Risk Solutions on rail performance modeling. His professional service includes editorial roles with IEEE VIS and GIS Research UK, demonstrating his standing in the visualization research community. As part of the giCentre Research Centre, he contributes to a vibrant research environment focused on geographic information and visualization. His work bridges theoretical visualization research with practical applications across multiple domains, maintaining strong connections with both academic collaborators and industry partners including Leicestershire County Council and the Willis Research Network.

• Economic Theory
• Experimental Economics
• Behavioral Economics
• +۷ مورد دیگر

Professor Todd Kaplan is a part-time Professor in the Department of Economics at the University of Exeter and the University of Haifa . His research spans Economic Theory , Experimental Economics , and Behavioral Economics , with notable contributions to contests, auctions, and mechanism design. He has received grants from major foundations including the Nuffield Foundation, British Academy, and Israeli Science Foundation. Education B.S., Engineering, California Institute of Technology, 1989 M.A., Economics, University of Minnesota, 1991 Ph.D., Economics, University of Minnesota, 1996 Kaplan’s research explores asymmetric auctions , bank runs , and cost-sharing mechanisms . His work bridges theory and experimentation, with interdisciplinary applications in meteorology and operations research. Recent publications focus on risk communication, coordination games, and strategic voting systems. His scientific awards include the Economics Network 2009 e-learning award . Collaborations with institutions like the UK Met Office and editorial roles at journals such as the Journal of Behavioral and Experimental Economics highlight his professional impact. Current projects extend his earlier work on bank runs and cooperative behavior.

Paul Marriottمشاهده پروفایل

استاد

• Geometric Statistics
• Differential Geometry
• Mixture Models
• +۶ مورد دیگر

Paul Marriott is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research focuses on integrating geometric principles, particularly differential and convex geometry, into statistical methodologies, with a recent emphasis on mixture models and information geometry. He has published extensively across diverse journals such as Biometrika, Annals of Statistics, and Psychological Medicine, bridging theoretical and applied statistics. Education: PhD, University of Warwick (1989) MA, University of Oxford (1984) Research Trends: His work explores geometric frameworks for statistical inference, mixture model parameterization, and robustness analysis. Recent publications highlight causal modeling, neural spike train analysis, and high-dimensional data applications. Contact: Office: Mathematics & Computer Building (M3) 4204, Phone: 519-888-4911 x35545, Email: pmarriot@math.uwaterloo.ca

Stephen Rushمشاهده پروفایل

استادیار

• Empirical Asset Pricing
• Market Microstructure
• Information Asymmetry
• +۳ مورد دیگر

Stephen Rush serves as an Assistant Professor in the Finance Department at Bowling Green State University's Schmidthorst College of Business. His academic expertise spans empirical asset pricing, market microstructure, and computational finance, with research focusing on information diffusion and systemic risk in financial networks. His research interests center on information asymmetry in capital markets and how market frictions affect information aggregation. Dr. Rush specializes in computationally intensive projects involving large datasets, particularly examining systemic risk through financial network analysis and bond market liquidity dynamics. His work demonstrates strong methodological rigor in network theory and empirical finance. Dr. Rush's publication record reveals a clear trajectory toward understanding systemic vulnerabilities in financial networks, with recent work published in the Journal of Banking and Finance and Data in Brief. His research bridges theoretical finance with practical market analysis, emphasizing computational approaches to complex financial phenomena. Top 2% SSRN author ranking 2015 & 2013 UConn Finance Department Outstanding Ph.D. Student Scholar 2011 UConn School of Business Ph.D. Fellowship Dr. Rush directs BGSU's Student Managed Investment Fund through the Portfolio Management course, where students achieve market-beating returns using real capital. His military background as a Marine Corps Intelligence Chief and Platoon Sergeant informs his leadership approach in both classroom and research settings. He previously served as Finance Instructor at UConn and Bryant University. His professional experience includes equity analysis at Amica Mutual Insurance where he managed $5 billion across portfolios, combining fundamental analysis with algorithmic trading strategies. Dr. Rush holds the Chartered Financial Analyst designation and maintains strong industry connections through his practitioner background.

• Risk Theory
• Actuarial Mathematics
• Bankruptcy Theory
• +۴ مورد دیگر

Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications

Marek Kałuszkaمشاهده پروفایل

استاد

• Actuarial Science
• Insurance Mathematics
• Risk Theory
• +۳ مورد دیگر

Professor Marek Kałuszka is a research and teaching university professor at the Insurance and Capital Markets Department, Faculty of Fundamental Problems of Technology, Lodz University of Technology. His career spans over three decades with significant contributions to actuarial science, risk theory, and fuzzy integrals. PhD advisees: Wojciech Antoniak (1999), Michał Boczek (2016), Michał Krzeszowiec (2013) Email: kaluszka@p.lodz.pl | Room: 168 | Phone: +48 42 631-38-59 Research focuses on: Actuarial mathematics and premium calculation principles Fuzzy integrals and their applications in risk modeling Portfolio immunization strategies and financial risk management Generalized Sugeno integrals and copula-based aggregation Applications of fuzzy measures in insurance and decision theory Mathematical inequalities for fuzzy integrals and risk assessment Recent publications (2021-2025) demonstrate expertise in: Extended Choquet-Sugeno operators for multi-valued data Benchmark-type generalizations of Sugeno integrals Monotonicity properties in fuzzy aggregation Prékopa-Leindler type inequalities for Sugeno integrals Generalized level measures with conditional aggregation Survival functions based on fuzzy operators

Kyle Dempseyمشاهده پروفایل

استادیار

• Macroeconomics
• Financial Economics
• Banking
• +۳ مورد دیگر

Kyle Dempsey is an Assistant Professor in the Department of Economics at The Ohio State University, specializing in Macroeconomics and Financial Economics. His research explores the interplay between financial institutions, markets, and macroeconomic outcomes through theoretical and quantitative analysis. Ph.D., Economics and Finance, University of Wisconsin-Madison, 2017 M.S., Economics, University of Wisconsin-Madison, 2015 B.S., Mathematics, University of Notre Dame, 2010 Dempsey's research focuses on financial regulations, contracts, and market dynamics. His projects include analyzing aggregate effects of bank capital requirements, credit scoring mechanisms, and reputation acquisition in consumer credit markets. He employs quantitative models to study lending relationships, default risk, and macroeconomic policy implications. His publications primarily address financial institutions, macroeconomic policy, and quantitative economics. Key trends include the role of non-bank finance in financial stability, credit scoring's impact on inequality, and interlinkages between lending standards and economic outcomes. ECB Lamfalussy Fellowship (2025) Dempsey advises graduate students informally through his research collaborations and contributes to economic policy discussions via his publications and presentations at events like the NBER Macro Annual.

• Public Economics
• Labor Economics
• Social Insurance
• +۴ مورد دیگر

Jonas Kolsrud is a Senior Lecturer at the Department of Economics and Statistics , Linnaeus University , Sweden. His research focuses on consumption and saving behavior , public social insurance programs , and wage formation in the context of Sweden’s labor market. Key research themes include wealth taxation dynamics, unemployment insurance for non-standard workers, and the interplay between cognitive ability and income sources. Current projects analyze labor shortages, minimum wage impacts, and precautionary saving under business cycles. Publication trends highlight Sweden as a case study for OECD countries, with empirical analyses using registry data on wealth, firm ownership, and migration. His work spans public economics , labor market policy , and macroeconomic modeling .

Despoina Makariouمشاهده پروفایل

استادیار

• Catastrophe Risk Management
• Machine Learning in Insurance
• Insurance-Linked Securitisation
• +۲ مورد دیگر

Despoina Makariou serves as Assistant Professor of Risk Management and Insurance at the University of St. Gallen and holds a Visiting Research Fellow position in Statistics at the London School of Economics and Political Science (LSE). Her academic journey includes a PhD in Statistics from LSE (2017-2022), an MSc in Insurance & Risk Management from Cass Business School (2012-2013), and a BA in Economics and International Business from the University of Macedonia (2008-2012). Dr. Makariou's research centers on machine learning in insurance and finance, catastrophe risk management, and insurance-linked securitisation. She develops and applies statistical learning methods to address challenges in insurance pricing, risk modeling, and alternative risk transfer. Her work bridges theoretical statistics with practical applications in the insurance industry. Recent publications demonstrate a trend toward integrating advanced machine learning techniques (such as random forests and finite mixture models) with traditional actuarial science to improve catastrophe bond spread prediction, claim count modeling, and expert opinion aggregation for risk measures. She has been recognized with scholarships for academic excellence and research potential, and holds an Advanced Chartered Insurance Institute Diploma. Her industry experience spans roles at CNA Hardy, Argo Group, and Lancashire Insurance in catastrophe risk modeling and (re)insurance pricing. Dr. Makariou is affiliated with the Institute of Insurance Economics at the University of St. Gallen, contributing to research and education in risk management and insurance.