جستجوی استاد راهنمای دانشگاهی

Betsey Stevensonمشاهده پروفایل

استاد

• Labor Economics
• Public Policy
• Economics of Education
• +۳ مورد دیگر

Betsey Stevenson is a Professor of Economics (Courtesy) and Professor of Public Policy at the University of Michigan. She holds affiliations with the National Bureau of Economic Research (NBER), Centre for Economic Policy Research (CEPR), and Ifo Institute for Economic Research. Her research focuses on labor markets, public policy, and the intersection of family dynamics with economic forces. She served as a member of President Obama's Council of Economic Advisers (2013-2015), Chief Economist of the U.S. Department of Labor (2010-2011), and on the Biden-Harris Transition team. Education: B.A. in Economics and Mathematics from Wellesley College; M.A. and Ph.D. in Economics from Harvard University. Research interests include women's labor market experiences, family economics, and policy impacts on employment and well-being. Notable contributions include analyses of the gender pay gap, Title IX's effects on sports participation, and the economic consequences of divorce laws. She co-hosts the podcast Think Like an Economist and co-authored a Principles of Economics textbook. Scientific Awards: Elected member of the National Academy of Social Insurance; Research Fellowships at NBER, CEPR, and Ifo Institute. Grants and Advising: Extensive policy advisory roles, including contributions to U.S. Treasury policy development. Her work frequently appears in major media outlets. Labs/Teams: Collaborates with interdisciplinary teams at the University of Michigan and national research institutions.

Marcel Dettlingمشاهده پروفایل

مدرس

• Predictive Analytics
• Applied Statistics
• Data Mining
• +۶ مورد دیگر

Dr. Marcel Dettling is a Group Lead in Data Analysis and Statistics at the ZHAW School of Engineering , focusing on predictive analytics, applied statistics, and complex data analysis. He also serves as a Lecturer at ETH Zurich , teaching advanced statistical methods. Education : PhD in Mathematics (2000-2004), ETH Zurich Postdoc in Applied Statistics (2004-2006), Johns Hopkins University His research spans predictive analytics (regression, classification, time series), data mining, and applications in health economics, transportation safety, social sciences , and business analytics . Recent work includes pharmaceutical cost group analysis for Swiss healthcare and predictive maintenance for marine vessels. Selected publications highlight his expertise in flight trajectory modeling , deep learning error mitigation , and statistical frameworks for rehabilitation finance . His projects address diverse fields like crowdworking in nursing, energy optimization for shipping, and customer behavior prediction.

Damir Filipovicمشاهده پروفایل

استاد

• Quantitative Finance
• Risk Management
• Machine Learning
• +۷ مورد دیگر

Academic Profile: Damir Filipovic is a Full Professor and the Swissquote Chair in Quantitative Finance at the College of Management of Technology (CDM) of École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He previously held academic positions at the University of Vienna, University of Munich, and Princeton University, and served as Head of the Vienna Institute of Finance. Research Focus: Quantitative finance, risk management, stochastic processes, term structure modeling, volatility risk, and machine learning applications in financial markets. Industry Collaboration: Co-developed the Swiss Solvency Test for insurance capital requirements while consulting for the Swiss Federal Office of Private Insurance. Publications: Contributed extensively to journals like Journal of Financial Economics, Mathematical Finance, and Annals of Applied Probability, with a textbook on Term-Structure Models. Academic Service: Editorial board member of multiple journals and organizer of advanced workshops on systemic risk and financial technology. Recent Research: His work emphasizes machine learning for portfolio risk management, kernel-based yield curve estimation, and robust stochastic modeling. Keynote speaker at international conferences on finance and insurance mathematics, with over 15 recent publications in 2023-2025 addressing high-dimensional financial problems, neural control systems, and causal inference in market data. Education: Ph.D. in Mathematics from ETH Zurich (2000). Graduate of ETH Zurich and University of Vienna. Teaching & Mentorship: Supervises current and former EPFL Ph.D. students in quantitative finance, including Nicolas Camenzind, Joshua Hayes, Andrea Ruglioni, and ten others. Former students like Damien Ackerer and Lotfi Boudabsa now lead research in risk management. Labs & Programs: Directs EPFL's Finance and Technology Programme, leads the Computational Finance Group (CSF) at EPFL, and contributes to Swiss Finance Institute initiatives. Scientific Leadership: Served on EPFL Committee of Academic Evaluation and Doctoral Program Finance committee.

Harald Wehnesمشاهده پروفایل

استاد

• Project Management
• IT Infrastructure
• Healthcare Project Management
• +۳ مورد دیگر

Prof. Dr. Harald Wehnes serves as a Professor at the University of Würzburg within the Faculty of Mathematics and Computer Science, specifically affiliated with the Institute of Computer Science's Chair of Computer Science III (Communication Networks). His office is located in room A206 at the Hubland campus, with contact email wehnes@informatik.uni-wuerzburg.de. His research centers on project management methodologies, with particular emphasis on the Project Excellence Model and its practical applications. Prof. Wehnes has developed significant expertise in applying project management frameworks to complex IT infrastructure initiatives and healthcare systems. His work demonstrates how theoretical project management concepts translate into real-world implementation, especially in cross-organizational contexts. Analysis of his publication history reveals a consistent focus on practical project management applications, particularly the NIMBUS project case study which documented the consolidation of 12 data centers into a single state data center. His publications demonstrate evolving expertise from foundational programming work (evidenced by his 1981 book "Strukturierte Programmierung mit FORTRAN 77" which went through seven editions) to sophisticated project management frameworks. Prof. Wehnes has maintained active engagement with the German Project Management Association (GPM), presenting at numerous forums and events. His international reach is evident through presentations at institutions including the University of the United Arab Emirates and the University of Canterbury in New Zealand. From 2013-2020, he taught specialized courses on professional project management (Spezialvorlesung aus der Praxis: Professionelles Projektmanagement) at the University of Würzburg, sharing his extensive practical experience with students. His work environment within the Chair of Computer Science III connects his project management expertise with research areas including 5G & 6G network technologies, network and service management, and green communication networks.

• Infectious Disease Modeling
• Health Economics
• Epidemiology Methods
• +۷ مورد دیگر

Alison Galvani is the Burnett and Stender Families Professor of Epidemiology at Yale School of Public Health and Yale School of Medicine, where she serves as founding director of the Center for Infectious Disease Modeling and Analysis (CIDMA). Her interdisciplinary work bridges epidemiology, evolutionary ecology, and health economics to inform public health policies for diseases including HIV, Ebola, influenza, and COVID-19. Her research focuses on optimizing vaccination strategies and healthcare interventions through mathematical modeling. Recent studies examine SARS-CoV-2 transmission dynamics, RSV vaccine impact, and integration of social determinants into infectious disease models. She has pioneered frameworks for conflict-induced migration analysis and pharmaceutical policy evaluations. Notable scientific awards include the Bellman Prize, Blavatnik Award for Young Scientists, and Guggenheim Fellowship. Her publications span top journals like The Lancet , Nature Communications , and PNAS , with media coverage in major outlets and policy references.

Alfred Chongمشاهده پروفایل

دانشیار

• Actuarial Science
• Financial Mathematics
• Quantitative Risk Management
• +۵ مورد دیگر

Dr. Alfred Chong is an Associate Professor in the Department of Actuarial Mathematics and Statistics at Heriot-Watt University (HWU). Previously, he served as an Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC) and co-founded the Illinois Risk Lab. His research focuses on Actuarial Science, Financial Mathematics, and Quantitative Risk Management, addressing emerging risks like cyber, pandemic, and climate risks, leveraging machine learning, optimization, and stochastic control. He holds a PhD from The University of Hong Kong and King's College London, and is an Associate of the Society of Actuaries. Chong actively contributes to academic governance, including roles in the EPSRC Mathematical Sciences Early Career Forum and the Maxwell Institute's Data and Decisions research theme. Education: PhD in Actuarial Science, University of Hong Kong & King's College London Research Interests: Chong explores risk sharing mechanisms, forward preferences in insurance, and mitigation strategies for large-scale risks. His work integrates data analytics and machine learning to solve decision-making challenges, such as cybersecurity risk assessment, pandemic resource allocation, and climate risk modeling. Recent projects include incident-specific cyber insurance design and delegated investment strategies for retirement savings. Awards: Michael V. Colla Prize for Mathematics Related to Medicine (2022) Best of 2020 in the Annual Meeting of the Casualty Actuarial Society (2021) Advising & Grants: Chong supervises PhD students in holistic risk management, forward preferences, and reinforcement learning applications. He has secured grants supporting interdisciplinary research in risk modeling and insurance innovation. Labs & Teams: Co-founder of the Illinois Risk Lab (UIUC), now leading research at HWU's Actuarial Mathematics & Statistics department. Engaged with the International Centre for Mathematical Sciences for knowledge exchange initiatives.

Pawel Janasمشاهده پروفایل

استادیار

• Economic History
• Finance
• Urban Economics
• +۳ مورد دیگر

Pawel Janas is an Assistant Professor of Economics at the California Institute of Technology (Caltech) since 2022. He is also a Faculty Research Fellow at the National Bureau of Economic Research (NBER). His research combines historical data analysis with modern quantitative methods at the intersection of finance and public economics. Education : B.A./B.S. in Economics and Mathematics from the University of Colorado, Boulder (2016); M.S. in Economics (2016); Ph.D. in Economics from Northwestern University (2022). Janas explores how financial crises impact long-term economic outcomes, focusing on: Municipal fiscal responses during economic downturns Educational attainment during the Great Depression Financial stabilization policies and labor market trajectories Insurance industry-driven capital flows across U.S. regions His empirical work leverages newly digitized datasets spanning 1880-1950, including: County-level manufacturing statistics (1927-1937) City-level financial records (1924-1938) Historical insurance industry data Scientific achievements include: NBER Faculty Research Fellowship Publication in Journal of Public Economics (2025) Upcoming article in Journal of Economic History (2026) He teaches Data Science for Finance and Economics at the undergraduate level and U.S. Economic History at both B.S. and Ph.D. levels. Janas' work provides critical insights into financial market frictions, fiscal austerity mechanisms, and the role of household resources during economic crises.

Peter Fredrikssonمشاهده پروفایل

استاد

• Labor Economics
• Economics of Education
• Policy Evaluation
• +۳ مورد دیگر

Peter Fredriksson is a Professor at the Department of Economics, Uppsala University. He serves on the Nobel Committee for the Prize in Economic Sciences (Chair 2019-2021) and is affiliated with institutions like the Rockwool Foundation, IZA, CESifo, UCLS, and IFAU. His work spans labor economics, education economics, and policy evaluation. Research Focus : Labor economics, education economics, and policy evaluation Affiliations : Uppsala University, Rockwool Foundation, IZA, CESifo, UCLS, IFAU Research Interests center on labor economics, particularly unemployment insurance, class size effects, peer influences, and policy impacts. His work connects wage dynamics, educational outcomes, and public program evaluations. He explores non-cognitive skills' rising importance and gender pay disparities. Recent Publications (2025-2013) address topics like job mobility, layoff policies, child development, and global poverty. Key journals include Quarterly Journal of Economics , American Economic Review , and Journal of Human Resources . Scientific Awards & Roles : Member of the Royal Swedish Academy of Science Chair of the Nobel Committee for Economic Sciences (2019-2021) Research Fellow at IZA and CESifo Affiliated with Uppsala Center for Labor Studies and IFAU Associate Editor at Scandinavian Journal of Economics Collaborations include the Rockwool Foundation's program committees and extensive work with Björn Öckert, Per-Anders Edin, and Hessel Oosterbeek.

• Applied Probability Theory
• Financial Mathematics
• Insurance Mathematics
• +۳ مورد دیگر

Jesper Lund Pedersen is an Associate Professor at the Department of Mathematical Sciences , University of Copenhagen , specializing in applied probability theory with applications in financial mathematics and insurance mathematics . His research spans stochastic processes, optimal stopping time problems, and stochastic control. Education : PhD in Mathematics (2000, Aarhus University) His work addresses: (Nonlinear) optimal stopping time problems Stochastic control and filtering Multidimensional point processes Levy processes in finance Key publications reveal expertise in Bayesian changepoint detection , random drift identification , and mean-variance portfolio optimization , with interdisciplinary applications in neuroscience (V-ATPase dynamics) and epidemiology. Scientific awards : Villum Experiment Grant (2018-2020) Steno Research Fellowship (2002-2005) His research collaborations span Denmark, the UK, Germany, and the USA, focusing on probability theory, financial mathematics, and biomedical applications.

• Actuarial Science
• Financial Mathematics
• Statistical Modeling in Insurance
• +۶ مورد دیگر

Louis G. Doray is a Full Professor of Actuarial and Financial Mathematics at the Department of Mathematics and Statistics, University of Montreal. His research focuses on statistical modeling in insurance, particularly in claim frequency, claim severity, survival analysis at advanced ages using logistic mortality models, and incurred but unreported accidents. Research Areas: Statistical modeling for insurance claims Survival analysis and logistic mortality models Actuarial applications of characteristic functions and fractional moments Risk management in financial mathematics Supervision: He has supervised graduate students including R. Momeya, I. Groparu-Cojaocaru, and Z. Ben Salah.

• Labor Markets
• Public Insurance Design
• Macroeconomics
• +۴ مورد دیگر

Javier Fernandez Blanco is an Associate Professor and Chair of the Department of Economics and Economic History at the University Autonomous of Barcelona (UAB), affiliated with the Barcelona School of Economics (BSE). He holds a PhD in Economics from the University of Minnesota (2008) and degrees in Economics and Mathematics from the Universitat de Barcelona. His research focuses on labor markets, public insurance design, and macroeconomic policy, with a particular interest in unemployment dynamics, household insurance mechanisms, and aging populations. He has held visiting positions at the University of Toronto (2018-19 as Visiting Associate Professor), UNSW Sydney (2012), and Carlos III University of Madrid (2008-12). His work has been published in top journals like the International Economic Review, Journal of Economic Theory, and European Economic Review. He has secured research grants, including two BSE Seed grants as Principal Investigator, and contributed to national research initiatives. He currently co-directs research projects on labor markets and education, and has advised numerous PhD and master’s students. His awards include fellowships from the Generalitat, Ramon Areces Foundation, and University of Minnesota. He actively participates in academic service, including organizing conferences, serving on editorial boards, and holding leadership roles in academic governance at UAB and BSE.

Daniel Gottliebمشاهده پروفایل

استاد

• Contract Theory
• Behavioral Economics
• Insurance Markets
• +۳ مورد دیگر

Professor Daniel Gottlieb holds the position of Professor of Managerial Economics and Strategy at the Department of Management, London School of Economics and Political Science (LSE). He joined LSE in 2019, after roles at Washington University’s Olin School of Business and the Wharton School of the University of Pennsylvania. Previously, he served as a visiting researcher at Harvard and Princeton Universities. He earned his PhD in Economics from MIT in 2009 and originates from Rio de Janeiro, Brazil. His research focuses on contract theory, behavioral economics, and insurance markets, integrating theoretical frameworks with experimental methods (field, lab) and observational data. Notable contributions include work on long-term contracting with time-inconsistent agents, stochastic impatience, and moral incentives in credit markets. His research has appeared in top journals such as the American Economic Review, Econometrica, and the Journal of Political Economy. He currently serves on editorial boards for leading economics journals, including the American Economic Review and the Journal of Economic Behavior and Organization. Key research interests include behavioral contract design, insurance market dynamics, and the interplay between time preferences and economic decision-making. His work bridges traditional economic theory with behavioral insights to address real-world inefficiencies in contractual and insurance frameworks. Prof. Gottlieb’s academic trajectory reflects a deep engagement with interdisciplinary research, combining rigorous theoretical analysis with empirical validation. His editorial roles and institutional affiliations highlight his influence in shaping contemporary economic discourse.

Steven Berryمشاهده پروفایل

استاد

• Industrial Organization
• Empirical Models of Product Differentiation
• Market Equilibrium Analysis
• +۴ مورد دیگر

Steven Berry is the David Swensen Professor of Economics at Yale University and the inaugural Faculty Director of the Tobin Center for Economic Policy at Yale. He specializes in empirical analysis of markets in equilibrium, with a focus on industrial organization, product differentiation, and dynamic market structures. He holds a PhD from the University of Wisconsin-Madison (1989) and a BA from Northwestern University (1980). His research explores competition policy, environmental economics, international trade, and labor market power. He has served as Economics Department Chair at Yale and Director of the Division of Social Sciences. Berry is a Research Associate at the National Bureau of Economic Research (NBER) and has advised governments on antitrust, environmental, and trade policies. He is an elected Fellow of the Econometric Society and a member of the American Academy of Arts and Sciences, having won the Frisch Medal in 2017. His work integrates micro and macro data to analyze markets like automobiles, airlines, and media, emphasizing structural econometric methods. Key Research Themes: Empirical industrial organization, demand estimation, dynamic policy analysis. Awards: Frisch Medal, Distinguished Fellow of the Industrial Organization Society. Consulting: Government and private-sector antitrust policy, environmental regulation.

Markus A. Denzelمشاهده پروفایل

استاد

• Economic History
• Social History
• Financial History
• +۵ مورد دیگر

Markus A. Denzel is a Full Professor and Head of the Chair of Social and Economic History at the University of Leipzig since 2002. He also holds a Contract Professorship in Economic History at the Free University of Bolzano since 2000. He served as Dean (2005-2008) and Dean of Studies (2003-2005) at the Faculty of History, Arts and Oriental Studies in Leipzig. His research focuses on Economic History , Financial Systems , and Medieval/Early Modern Commercial Practices , with a particular emphasis on payment systems, merchant networks, and trade integration across Europe and its colonies. His work spans from the 13th century to the early 20th century , analyzing historical financial instruments like bills of exchange, marine insurance, and cashless transactions. 2009 : The Merchant Family in "Oberdeutsche Hochfinanz" 2008 : Latin America's cashless payments system 2007 : Munich's pre-modern financial systems 2006 : Marine insurance in the Mediterranean 2005 : Italian merchants in late Byzantium He received the Heinz Maier-Leibniz Prize (1998) for outstanding contributions to research in economic history.

• Energy Finance
• Renewable Energy
• Sustainable Finance
• +۴ مورد دیگر

Christina Nikitopoulos Sklibosios is an Associate Professor in the Finance Discipline Group at the University of Technology Sydney (UTS) Business School. She specializes in energy finance, renewable energy economics, sustainable finance, and commodity markets. Her research focuses on analyzing price dynamics and volatility in energy markets, particularly addressing challenges posed by renewable energy integration, green bond markets, and climate transition risks. She has held leadership roles including Finance PhD Program Coordinator (2015–2023) and currently serves on the UTS Business School's Faculty Board and HDR Director (acting). Education: Doctoral and academic background in finance and energy economics (details not explicitly provided in texts). Her research projects include modeling electricity prices in Australia’s National Electricity Market (NEM), assessing renewable energy impacts on grid stability, and evaluating green bond premiums. Key grants include ARC grants on energy market volatility and climate risk (2010–2017), and recent awards such as the UTS Strategic Research Accelerator grant (2024–2025) for net-zero decision-making tools. Research interests span energy economics, sustainable finance mechanisms, and commodity market dynamics. She collaborates with international organizations like CEMA, IAEE, and AFFECT, and contributes to policy discussions on energy transition and financial market reforms.