جستجوی استاد راهنمای دانشگاهی

Dan A. Blackمشاهده پروفایل

استاد

• Labor Economics
• Economic Demography
• Urban Economics
• +۲ مورد دیگر

Dan A. Black is a Professor at the University of Chicago Harris School of Public Policy , a Senior Fellow at the National Opinion Research Center (NORC) , and a Research Fellow at IZA . His work bridges labor economics, economic demography, urban economics, and applied econometrics, with a focus on policy-relevant empirical analysis. Education: BA and MA in History from the University of Kansas; MS and PhD in Economics from Purdue University. Black’s research explores labor market dynamics, including wage gaps, migration, human capital, and policy impacts. His methodological expertise spans econometrics, causal inference, and data reliability. He has also contributed to studies on racial and gender disparities, urban inequality, and public health economics. His recent publications highlight interdisciplinary trends: labor economics (training, job lock, wage disparities), demography (mortality estimation, migration), and urban economics (inequality, policy evaluation). Methodological themes include instrumental variables , matching estimators , and measurement error . Scientific Awards: Fellow of the Society of Labor Economists Senior Fellow at NORC Research Fellow at IZA Black has served on editorial boards for the Journal of Labor Economics , Labour Economics , and Journal of Urban Economics . He has advised panels for the U.S. Census Bureau, Department of Education, and Environmental Protection Agency, and consulted for governments in New Zealand, Australia, and the Inter-American Development Bank. His affiliations include the Committee on Quantitative Methods in Social, Behavioral, and Health Sciences at the University of Chicago.

Sameer Deshpandeمشاهده پروفایل

استادیار

• Bayesian hierarchical modeling
• Bayesian regression trees
• Causal inference
• +۳ مورد دیگر

Sameer Deshpande is an Assistant Professor in the Department of Statistics at the University of Wisconsin–Madison. His research bridges Bayesian methodology development with applications in public health and sports analytics. Prior to joining UW–Madison, he completed a postdoctoral fellowship with Professor Tamara Broderick at MIT and earned his Ph.D. in Statistics from the Wharton School under Professors Ed George and Veronika Rockova. His educational background includes undergraduate studies in mathematics at MIT and a year at Jesus College, Cambridge through the Cambridge-MIT Exchange program. His research focuses on advancing Bayesian hierarchical modeling, treed regression, and causal inference techniques, with particular emphasis on flexible tree-based methods like BART variants for complex data structures. Deshpande's recent publications reveal a strong trend toward developing scalable Bayesian methods for high-dimensional data while maintaining rigorous uncertainty quantification. His work frequently applies these techniques to sports analytics (particularly baseball and football) and public health studies examining long-term effects of adolescent sports participation. The consistent focus on methodological innovation paired with substantive applications demonstrates his dual commitment to statistical theory and real-world impact. He actively mentors graduate students at UW–Madison, requiring STAT 775 as preparation for research collaboration. His Deshpande Lab focuses on Bayesian computation and causal inference, though specific grant details are not publicly listed. Notable projects include the NFL Big Data Bowl submission analyzing quarterback decision-making using Expected Hypothetical Completion Probability. Outside academia, Deshpande maintains interests in cooking, cocktail making, and photography, while remaining a devoted fan of Dallas sports teams – often seen wearing a Texas belt buckle.

Miklos Szócskaمشاهده پروفایل

استاد

• Healthcare Management
• Network Analysis
• Leadership and Change Management
• +۶ مورد دیگر

Miklós Szócska is a Professor and Dean of the Faculty of Public Health at Semmelweis University, Budapest. He also serves as the Director of the Healthcare Management Training Center and Head of the Institute of Digital Health Sciences. His career bridges academic leadership with healthcare policy, including roles as Secretary of State for Health (2010–2014), where he focused on evidence-based health policy, public health taxes, and e-health systems. Education: General Practitioner, Semmelweis University (1989) Master of Public Administration, Harvard University's John F. Kennedy School of Government (1998–1999) PhD, Semmelweis University (2008) Research Interests: Szócska's work spans network analysis , leadership and change management , crisis communication , social innovation , and big data/AI applications in healthcare . His recent studies focus on reconstructing 3D histological structures via machine learning, global mortality linked to pathogens, and tobacco control policies. Article Trends: His publications emphasize global health metrics (e.g., mortality decomposition, colorectal cancer risk factors) and digital health innovations (AI, e-health). Systematic analyses from the Global Burden of Disease Study frequently inform his research. Academic Affiliations: He leads the Institute of Digital Health Sciences and chairs the Faculty of Public Health at Semmelweis University. His international roles include Board Membership at the European Health Forum Gastein and Supervisory Board positions at EIT Health.

• Human-Robot Interaction
• Rehabilitation Robotics
• Socially Assistive Robotics
• +۷ مورد دیگر

Carlos Cifuentes is an Associate Professor in Human-Robot Interaction at the Bristol Robotics Laboratory (BRL) , part of the University of the West of England (UWE Bristol) . He also serves as the Deputy Director of the VIVO Hub , a £13.4M UK-funded research initiative (2024-2030) focused on robotics for rehabilitation and healthcare. His research spans Human-Robot Interaction , Rehabilitation Robotics , Healthcare Robotics , and Socially Assistive Robotics , with applications for conditions such as cardiac diseases , post-stroke recovery , spinal cord injuries , cerebral palsy , Parkinson's disease , musculoskeletal disorders , and autism spectrum disorder (ASD) . Carlos has over 15 years of experience and 200+ publications in robotics for rehabilitation and assistive technologies. His recent work explores smart walkers with multimodal feedback, soft prosthetics using polymeric optical fiber sensors , and machine learning models for fatigue and stress estimation. He also investigates inclusive design for social robots in global contexts , including a CASTOR Robot for ASD therapy and collaborative design processes with Colombian communities. Carlos serves as an Associate Editor for IEEE Robotics and Automation Magazine (since 2021), ICRA , and IROS (since 2023). He leads projects integrating wearable sensors , deep learning , and haptic feedback to enhance mobility, autonomy, and quality of life for individuals with disabilities. As Deputy Director of the VIVO Hub, he focuses on long-term deployment of robotic systems in real-world healthcare settings, emphasizing collaboration with clinicians , caregivers , and neurodiverse communities . His work bridges robotics , biomedical engineering , and human-centered design .

Lionel WILNERمشاهده پروفایل

پژوهشگر

• Economics of Social Insurance
• Empirical Industrial Organization
• Public Economics
• +۳ مورد دیگر

Lionel WILNER is a senior researcher at CREST (Centre de Recherche en Économie et Statistique) and teaches economics at ENSAE Paris. He earned his PhD from Université Paris 1 (Panthéon-Sorbonne) and an accreditation to supervise research (HDR) from École Normale Supérieure (ENS). Affiliated with CESifo, he contributes to empirical industrial organization, social insurance economics, and policy evaluation methods. Education: PhD (Université Paris 1), HDR (ENS) His research spans empirical industrial organization (focusing on healthcare markets and demand estimation), social insurance economics (health, labor, pensions), and policy evaluation using microsimulation, reduced-form, and structural econometric models. Recent work includes analyzing child penalties, wealth accumulation, and fuel price inflation compensation mechanisms. He has published in top journals like ILR Review , Journal of Environmental Economics and Management , and Oxford Economic Papers . His studies often integrate empirical rigor with policy implications, influencing debates on gender disparities, public finance, and healthcare access. Scientific Awards: Certificate of Excellence in Reviewing, International Journal of Industrial Organization (2015) WILNER actively engages in policy analysis, serving as a substitute member of France’s Conseil d'Orientation des Retraites (2018–2024). He is a referee for journals including American Economic Journal: Microeconomics and Journal of Health Economics , and participates in international workshops and seminars on topics like aging, taxation, and healthcare reform.

• Macroeconomics
• Trade Modeling
• Monetary Policy
• +۵ مورد دیگر

Professor Patrick Minford is a distinguished academic specializing in macroeconomics and trade modeling at Cardiff Business School, Cardiff University. With a prolific research career spanning several decades, he has established himself as a leading expert in dynamic stochastic general equilibrium (DSGE) modeling and macroeconomic policy analysis. His work frequently addresses contemporary economic challenges including Brexit impacts, monetary policy frameworks, and international trade dynamics. Minford's research interests focus on macroeconomic and trade modeling, with particular emphasis on the application of DSGE models to real-world policy questions. His work consistently bridges theoretical economic frameworks with practical policy implications, examining how monetary and fiscal policies affect economies in both closed and open contexts. Recent research has expanded to include analysis of pandemic economic impacts, Brexit consequences, and the evaluation of alternative monetary policy frameworks including Modern Monetary Theory. His extensive publication record demonstrates consistent contributions to top economic journals including Journal of International Money and Finance, Open Economies Review, and Applied Economics. Minford's methodological expertise in indirect inference techniques for model validation has been particularly influential in the field of applied macroeconomics. His research often involves international collaborations, reflecting the global nature of contemporary economic challenges. As an educator, Minford teaches macroeconomics to MSc and PhD students at Cardiff Business School and is available for postgraduate supervision. His teaching complements his research focus, ensuring students receive cutting-edge instruction in macroeconomic modeling and policy analysis.

• Experimental Economics
• Behavioural Finance
• Time Preference
• +۴ مورد دیگر

Stephen Cheung is a Senior Lecturer at the School of Economics, The University of Sydney, with affiliations to the Brain and Mind Centre. He serves on the Editorial Board of the Journal of Economic Psychology Deputy Chair of the University's Human Research Ethics Committee Research Fellow at IZA Institute of Labor Economics (since 2008) Research Fellow at the ARC Centre of Excellence for Children and Families over the Life Course (since 2015) His research focuses on Experimental Economics and Economic Psychology , particularly Decision-making under risk and time Reference-dependent preferences Team behavior in markets Behavioral interventions in financial decisions From his experimental studies , key trends emerge in Portfolio framing effects Conditional cooperation mechanisms Present bias across reward domains Market expectation formation Scientific recognition includes Two Australian Research Council Discovery Grants Teaching Excellence Awards from two University faculties Fellow of the Higher Education Academy His experimental methodology combines lab experiments with meta-analytic approaches, particularly evident in his analyses of quasi-hyperbolic discounting and disposition effect experiments. Collaborative work spans interdisciplinary teams in behavioral economics and market experiments.

• Health Policy
• Environmental Policy
• Risk Analysis
• +۵ مورد دیگر

James K. Hammitt is a Professor of Economics and Decision Sciences at the Harvard T.H. Chan School of Public Health , affiliated with the Center for Risk Analysis , Center for Health Decision Science , and Health Policy and Management Department . He is also a Senior Common Room member at Winthrop House (Faculty of Arts & Sciences, Harvard University). Education: AB in Applied Mathematics (magna cum laude, Harvard College, 1978), ScM in Applied Mathematics (Harvard University, 1978), MPP in Public Policy (Kennedy School of Government, 1981), PhD in Public Policy (Harvard University, 1988) His research focuses on quantitative methods in health and environmental policy , including benefit-cost analysis , decision analysis , and risk analysis . Key areas include managing long-term environmental uncertainties (climate change, ozone depletion), ancillary benefits/risk trade-offs , and social preference characterization using revealed/stated-preference and health-utility methods. He has contributed to 15+ recent publications spanning mortality risk valuation , health impact modeling , and policy evaluation in contexts ranging from COVID-19 to electric vehicles . Awards: Distinguished Achievement Award, Society for Risk Analysis (2015) Outstanding Achievement Award, Society for Benefit-Cost Analysis (2021) His work addresses complex policy challenges through interdisciplinary approaches, integrating economics , public health , and environmental science . While student advising isn't explicitly mentioned, his leadership in National Academies of Sciences panels and advisory committees to EPA/government agencies underscores his policy influence. No email addresses are publicly available.

George Streftarisمشاهده پروفایل

استاد

• Bayesian Statistics
• Epidemiology
• Actuarial Science
• +۳ مورد دیگر

Professor George Streftaris is a faculty member at Heriot-Watt University within the Actuarial Mathematics and Statistics department under the School of Mathematical and Computer Sciences . His academic career spans over two decades, including roles as associate professor and lecturer at Heriot-Watt University (2004-2019) and post-doctoral positions at BioSS and Heriot-Watt (2001-2004). He serves on the Board of Examiners for the Institute and Faculty of Actuaries and acts as an external examiner for multiple institutions. Professional memberships include Fellow of the Royal Statistical Society , member of the International Society for Bayesian Analysis , and the Greek Statistical Institute . Education: PhD in Statistics (University of Edinburgh) MSc in Statistics and OR (University of Essex, Distinction) BSc in Statistics and Actuarial Science (University of Piraeus, Greece) Research Interests: Streftaris specializes in Bayesian stochastic modeling , inference, and assessment at the intersection of statistics, epidemiology, and actuarial science. His work addresses critical illness insurance, longevity risk, and health-related insurance through predictive modeling and statistical machine learning. Key themes include disease transmission dynamics, model diagnostics, and uncertainty quantification in epidemic systems. Collaborations extend to life and biomedical sciences. Recent Publications: Recent articles focus on COVID-19 pandemic impacts on breast cancer mortality using semi-Markov models, neural network approaches for admission rate prediction, and Bayesian modeling of epidemic systems. Notable projects involve machine learning for multi-asset strategies, model uncertainty in insurance pricing, and stochastic frameworks for disease spread. Research Projects: Centers of Actuarial Excellence (SOA, 2019-2023): Predictive modeling for medical morbidity risk SCOR Foundation of Science (2022-2024): Breast cancer life insurance impact ARC Project (IFoA, 2016-2022): Longevity and morbidity risk management The Data Lab (2017-2018): Machine learning for multi-asset strategies Advising: Supervises ongoing PhD students in Bayesian and neural network modeling in epidemiology, with completed students working on topics like critical illness insurance, disease transmission, and stochastic mortality. Collaborations include researchers in the UK, USA, and international institutions.

Sotirios Thanosمشاهده پروفایل

مدرس ارشد

• Real Estate Economics
• Urban Economics
• Transport Economics
• +۶ مورد دیگر

Sotirios Thanos is a Senior Lecturer (Associate Professor) in Real Estate and Urban Economics at the University of Manchester within the School of Environment, Education and Development's Department of Planning, Property and Environmental Management. He actively teaches Urban and Environmental Economics and Real Estate Modelling courses while accepting PhD students for supervision. His academic credentials include: PhD in Economics, University of Leeds (awarded 2008) MA in Transport Economics, University of Leeds (awarded 2001) Thanos specializes in real estate, urban, transport, and environmental economics with methodological expertise in spatial econometrics, panel data analysis, choice experiments, and non-market valuation. His current research focuses on spatio-temporal house price modeling and transportation noise impacts, contributing directly to UN Sustainable Development Goal 11 (Sustainable Cities and Communities). Analysis of his recent publications reveals consistent application of advanced spatial econometric techniques to housing market dynamics, environmental externalities, and transportation economics. His work demonstrates increasing policy relevance through studies on housing supply constraints, flood risk valuation, and pandemic-induced housing market shifts, often bridging theoretical econometric innovation with practical urban planning applications. Thanos actively supervises postgraduate researchers and leads significant research initiatives including: Manchester Real Estate and Urban Economics (MREUE) group (ongoing) Community Infrastructure Levy housing market impacts study (2021) Societal cost of flooding research (2017-2018) Food and drink retail location patterns feasibility study (2021) He directs the MREUE research group, which investigates real estate markets across the UK and India through interdisciplinary collaboration between faculty and postgraduate students, focusing on housing policy, spatial economics, and environmental valuation.

Laura Dwyer-Lindgrenمشاهده پروفایل

استادیار

• Public Health
• Biostatistics
• Health Metrics
• +۴ مورد دیگر

Laura Dwyer-Lindgren is an Assistant Professor of Health Metrics Sciences at the Institute for Health Metrics and Evaluation (IHME) within the University of Washington's School of Public Health. She leads the US Health Disparities Team, focusing on disease burden disparities by location, race, ethnicity, and socioeconomic status in the United States, and contributes to the Local Burden of Disease team for global HIV mapping. Education: PhD in Public Health from Erasmus University, Rotterdam MPH in Health Metrics and Evaluation from the University of Washington Dr. Dwyer-Lindgren’s research spans biostatistics, health metrics, and public health, with a focus on health disparities, social determinants of health, and mortality trends. Her work addresses adult and child mortality, HIV/AIDS, and spatial epidemiology. Her publications highlight temporal and spatial analysis of HIV prevalence, small area estimation of mortality, and inequalities in life expectancy across US counties. This research integrates biostatistical methods with global and local public health metrics. As a member of the Local Burden of Disease research team, she collaborates on projects analyzing health outcomes at granular geographic levels, contributing to evidence-based policy decisions.

Keyon Vafaمشاهده پروفایل

پژوهشگر ارشد

• Behavioral Machine Learning
• AI Ethics
• Generative Models
• +۳ مورد دیگر

Keyon Vafa is a Research Fellow at Harvard University's Harvard Data Science Initiative (HDSI) and an affiliate at MIT's LIDS. He completed his PhD in Computer Science at Columbia University (advisor: David Blei), where he held NSF GRFP and Cheung-Kong Fellowships. His work focuses on behavioral machine learning, evaluating AI models' world understanding, and fostering human-AI alignment. He received the 2023 Morton B. Friedman Memorial Prize for engineering excellence. Education PhD in Computer Science, Columbia University, 2023 Bachelor's/Master's degrees (not explicitly stated in text) Research Interests Behavioral machine learning and model interpretability Ethical AI and algorithmic fairness Applications of generative models in social sciences Large language model evaluation and societal impact Publications His recent work includes studies on wage disparity estimation via foundation models, evaluating implicit world models of AI systems, and measuring human-AI expectation alignment. These contributions span top venues like PNAS, NeurIPS, and ICML, addressing critical issues in AI ethics and social science applications. Awards NSF Graduate Research Fellowship Program (GRFP) Cheung-Kong Innovation Doctoral Fellowship Morton B. Friedman Memorial Prize (2023) Grants & Labs Organizes the ICML 2025 Workshop on Assessing World Models of AI systems. His research is supported by grants from the NSF and other institutions. He collaborates with economists and social scientists to bridge AI and societal challenges.

• Behavioral Finance
• Experimental Economics
• Applied Microeconomics
• +۳ مورد دیگر

Professor Morten Lau is a leading academic in behavioral finance and experimental economics, holding the position of Professor at Durham University Business School since October 2010. Previously, he served as Professor of Economics at Newcastle University (2008–2010) and held roles at Durham University Business School (2005–2008). Prior to academia, he worked as an Economist at Denmark’s Ministry of Business and Industry (1996–2005). His research focuses on applied microeconomics, behavioral finance, experimental economics, and public finance. Notable contributions include studies on risk aversion in game shows, temporal stability of prospect theory, and discounting behavior in field experiments. He has published extensively in top journals like Econometrica and American Economic Review , and co-authored influential works on behavioral econometrics and experimental design. Lau’s work integrates theoretical models with empirical analysis, emphasizing field experiments to assess real-world decision-making. His research often explores policy implications, such as tax reforms, social security incentives, and gambling risk mitigation. He has advised on economic policy in Denmark and contributed to understanding behavioral biases in financial markets and public health contexts. He leads the Center for Behavioral Economics and Finance at Durham University, fostering interdisciplinary collaborations. His current projects include longitudinal studies on discounting behavior and the psychological underpinnings of economic decisions.

• Public Health
• Tobacco Control
• Alcohol Policy Research
• +۳ مورد دیگر

Zubair Kabir is a Senior Lecturer in Public Health and Academic Director of the Master of Public Health (MPH) program at University College Cork (UCC). He holds dual roles in academia and global health research, serving as the country lead for Ireland in the Global Burden of Disease (GBD) Study since 2016. His work has contributed to over 70 GBD-related publications, earning him recognition as the most cited Irish researcher in his field since 2019. Dr. Kabir’s research focuses on tobacco control, alcohol policy, and non-communicable disease (NCD) epidemiology, with a particular emphasis on policy-informed research. He pioneered the Irish CHD IMPACT model, instrumental in shaping Ireland’s cardiovascular health strategy and Healthy Ireland Framework. His contributions to the GBD Study have impacted global health policy, including WHO reports and OECD publications. He leads the Irish Burden of Disease (I-BoD) Research Group, fostering capacity-building through training master’s students in BoD methodology. His recent work includes alcohol policy research (e.g., estimating alcohol-attributable deaths in Ireland), tuberculosis epidemiology in migrant populations, and mental health studies among cancer patients. He also investigates the health impacts of obesity, aging, and long-COVID in Ireland. Dr. Kabir has secured significant funding, including EU COST Action grants and HRB awards, and serves on national health committees such as the Health Research Consent Declaration Committee (HRCDC). His awards include the American College of Chest Physicians Fellowship (2014) for excellence in tobacco control advocacy. His academic career spans postdoctoral fellowships at Harvard and Trinity College Dublin, and he holds a PG Diploma in Higher Teaching & Learning. Key contributions include co-editing Tobacco Use Insights, co-authoring WHO policy reports, and advancing dental public health through GBD-linked studies on oral cancer.

Serena Ngمشاهده پروفایل

استاد

• Econometrics
• Empirical Macroeconomics
• Time Series Analysis
• +۷ مورد دیگر

Serena Ng is the Edwin W. Rickert Professor of Economics at Columbia University and an Affiliated Faculty member in the Department of Statistics. Her research spans econometrics, empirical macroeconomics, time series analysis, and big data methods, with a focus on factor models, missing data, and macroeconomic forecasting. She has developed influential datasets such as FRED-MD and FRED-QD, widely used in macroeconomic research. Her research interests include: High-dimensional econometric modeling Factor analysis and principal components Missing data and matrix completion Dynamic modeling of disasters and climate shocks Macroeconomic forecasting and nowcasting Structural vector autoregressions and DSGE identification Her recent publications (2021–2025) reflect a strong trend toward integrating machine learning and computational methods into econometric modeling, particularly in handling large datasets, imputing missing values, and analyzing the macroeconomic impact of climate and disaster shocks. She has also contributed to foundational work in uncertainty measurement and time-varying parameter models. Her scientific contributions are recognized through extensive publication in leading journals. While no specific awards are listed, her editorial and collaborative roles (e.g., with the Journal of Econometrics) indicate high standing in the profession. She advises doctoral students in economics and statistics, though no names are publicly listed. She has received funding from major institutions including the National Science Foundation and NIH for interdisciplinary research. Her work bridges econometrics with environmental and health economics, particularly in projects related to climate adaptation and disaster impacts. She maintains a laboratory-like research group focused on macroeconometric modeling and big data analysis, contributing to the development of tools for real-time economic monitoring and policy analysis.