جست‌وجوی استاد و پژوهشگر

Juste Goungoungaمشاهده پروفایل

دانشیار

• Biostatistics
• Cancer Epidemiology
• Public Health
• +۵ مورد دیگر

Juste Goungounga is an Associate Professor of Biostatistics and Health Data at the French School of Public Health (EHESP) and a researcher at the ARENES laboratory (UMR CNRS 6051) within the INSERM U1309 "Research on Health Services and Management" (RSMS) team. He previously worked at the Burgundy Digestive Cancer Registry/University of Burgundy (EPICAD Team - UMR 1231) as a postdoctoral researcher. Education: Doctor of Medicine (University of Ouagadougou), Master of Public Health (Aix Marseille University), PhD in Clinical Research and Public Health (Aix Marseille University) His research focuses on statistical methods in cancer epidemiology and non-communicable diseases (NCDs) , particularly: Cure models and time-to-cure estimators Excess hazard modeling (cluster heterogeneity, bias correction) Disease mapping techniques (Bayesian hierarchical models, cluster detection) Supervised classification methods (CART, PLS regression) R package development (xhaz) Application to population registries and clinical trials His work addresses health inequalities through quantitative frameworks, analyzing dynamics of NCD outcomes across socioeconomic and geographic dimensions. Articles highlight methodological innovations in survival analysis , spatial statistics , and clinical trial bias correction . Teaching and mentorship activities include: Lecturer in biostatistics and epidemiology Statistical programming instruction (R) Supervision of public health trainees He is affiliated with scientific societies such as the French Statistical Society (SFDS) , International Biometric Society , and International Society for Clinical Biostatistics (ISCB) . Current institutional affiliations include the Department of Quantitative Methods in Public Health (METIS) and the ARENES laboratory (UMR 6051) at Inserm U1309 RSMS team.

• Educational Measurement
• Meta-Analysis
• Statistical Methods
• +۳ مورد دیگر

Ariel M. Aloe is a Professor of Educational Measurement and Statistics and currently serves as the Interim Associate Dean for Research in the College of Education at the University of Iowa. He holds affiliations in the Department of Psychological and Quantitative Foundations and the Office of the Dean (Administration) . His research focuses on meta-analytic methods, statistical synthesis, and educational measurement, with a particular emphasis on improving evidence-based practices in education and psychology. Aloe earned his BA in Physical Education from the Universidad de Flores, followed by an MA in Educational Psychology from Loyola University Chicago. He completed his MS in Statistics and PhD in Measurement and Statistics at Florida State University. His professional memberships include the National Council on Measurement in Education (NCME), American Educational Research Association (AERA), American Statistical Association (ASA), and Society for Research Synthesis Methodology (SRSM). His work emphasizes advancing statistical methodologies for synthesizing research evidence, particularly in quasi-experimental designs and meta-analytic frameworks. Aloe has led grants such as the National Science Foundation-funded project on partial effect sizes , demonstrating expertise in bridging quantitative methods with applied educational research. His publications span topics like ADHD treatment efficacy, summer reading program outcomes, and measurement invariance in intersectional groups.

Aureo de Paulaمشاهده پروفایل

استاد

• Econometrics
• Applied Economics
• Network Formation
• +۴ مورد دیگر

Aureo de Paula is a Professor of Economics at University College London (UCL), Department of Economics. He holds positions at several prestigious research institutions including the Centre for Microdata Methods and Practice (UK), the Institute for Fiscal Studies (UK), and CEPR. He is an elected Fellow of the Econometric Society and the International Association for Applied Econometrics, and a Turing Fellow (2021/23). His educational background includes: B.A. and M.Sc. in Economics from Pontificia Universidade Catolica—RJ (Brazil) in 1996 and 2000 M.A. and Ph.D. in Economics at Princeton University in 2002 and 2006 Aureo de Paula is an applied econometrician whose research focuses on the intersection of applied economic theory, econometrics and empirical microeconomics. His work spans methodological questions like the identification and estimation of multi-agent models, and empirical applications, mostly problems in developing nations and industrial organisation. His recent publications demonstrate expertise in network formation, environmental economics, health economics, and econometric methodology. His research has been featured in prominent media outlets including The Times, The Daily Mail, Economics Observatory, WSJ, and Chicago Booth Review. Professor de Paula has held significant editorial positions, including: Co-editor at the Journal of Econometrics (since 2023) Director for the Review of Economic Studies (2020-2023) Associate editor for The Review of Economic Studies, Journal of Business and Economic Statistics, Econometrics Journal, Econometric Reviews, and the Journal of Econometrics His scientific awards and recognitions include: Elected Fellow of the Econometric Society Elected Fellow of the International Association for Applied Econometrics Irving B. Kravis Award for Excellence in Undergraduate Teaching at the University of Pennsylvania Faculty Education Award at UCL (joint with Dunli Li) ERC Starting Grant (2013) Turing Fellow (2021/23) Professor de Paula serves in important leadership roles, including as an elected member of the Econometric Society Council and as chair of its Latin America Regional Standing Committee from 2022 until 2025. His research has been supported by various grants, including the ERC Starting Grant, and he has collaborated with institutions like the Office for National Statistics and The Alan Turing Institute.

Hong Liمشاهده پروفایل

استاد

• Actuarial Science
• Insurance Economics
• Data Analytics
• +۶ مورد دیگر

Hong Li is a Professor in the Department of Economics and Finance at the Gordon S. Lang School of Business and Economics , University of Guelph (ranked #1 in Canada for Actuarial Science). He also holds an Adjunct Associate Professor position at the University of Waterloo's Department of Statistics and Actuarial Science. His research focuses on actuarial science, insurance economics, and data analytics applied to risk management challenges in longevity, climate, and agricultural sectors. Education : PhD in Econometrics & Operations Research, Tilburg University (2015) MPhil in Economics, Tilburg University (2012) B.A. in Finance, Xiamen University (2010) Research Interests include: Machine learning for insurance underwriting and pricing Mortality forecasting and longevity risk transfer Catastrophe bond design and climate risk modeling Optimization of index-based agricultural insurance Dynamic hedging strategies for financial institutions Awards : 2018 Bob Alting von Geusau Prize (best ASTIN Bulletin paper) University Research Award (2022-2023) Grants & Funding include: SSHRC Insight Development Grant ($69,623 CAD) NSERC Discovery Grant ($127,500 CAD) CAS Individual Grant ($18,000 USD) Teaching includes courses on risk management, actuarial economics, and financial econometrics at both undergraduate and graduate levels. Professional Service : Editorial Board Member: Annals of Actuarial Science and Journal of Risk and Insurance Member, Canadian Institute of Actuaries Academic Research Committee

• Epidemiology
• Mortality Studies
• Health Longevity
• +۳ مورد دیگر

Marcus Ebeling is a postdoctoral researcher affiliated with Karolinska Institutet's Institute of Environmental Medicine (IMM), specifically within the Ageing and Health research group led by Karin Modig. He holds a PhD in Demography (summa cum laude) from the University of Rostock and previously conducted postdoctoral research at the Max Planck Institute of Demographic Research and the University of Rostock. His work focuses on mortality trends, health longevity, and the evolving pathways to death in aging populations. Education: PhD in Demography (2018), University of Rostock European Master in Demography (2013), European Doctoral School of Demography Master of Science in Demography (2012), University of Rostock His research investigates how health trajectories and mortality patterns have shifted with increasing longevity, particularly in contexts like urban-rural disparities, post-retirement health, and pandemic impacts. Key projects include FORTE-funded studies on end-of-life trajectories and frailty among older adults. Research Highlights: Analyzed trends in frailty and mortality across Swedish cohorts Examined urban-rural mortality differences in Germany and Scandinavia Evaluated the impact of hip fractures on geriatric care and mortality Studied excess mortality during the early COVID-19 pandemic Advising & Grants: Leads a FORTE-funded project exploring pathways to death in the era of improving health outcomes. Collaborates with multidisciplinary teams in epidemiology and gerontology. Labs/Teams: Core member of Karin Modig's Ageing and Health group, which integrates demographic and epidemiological methods to study aging populations.

• Statistics
• Applied Statistics
• Bayesian Modelling
• +۱۰ مورد دیگر

Helen Thompson is an Associate Professor of Statistics in the School of Mathematical Sciences at Queensland University of Technology (QUT), with a joint affiliation at the Centre for Data Science. Her work bridges statistical theory and real-world applications in health, environment, and social sciences through advanced modeling and machine learning techniques. Education: Doctor of Philosophy, University of Glasgow BSc (Hons), University of Queensland Bachelor of Science, University of Queensland Helen's research focuses on statistical modeling, particularly in Bayesian methods, spatial and spatio-temporal modeling, optimal experimental design, and copula modeling. Her expertise enables robust analysis of complex, high-dimensional datasets, with applications such as cancer survival modeling, air pollution exposure assessment, and early childhood developmental surveillance. She has led projects in collaboration with BHP, Queensland Health, and the Australian Cancer Atlas. Her recent publications demonstrate a strong trend in Bayesian spatial modeling, model-robust experimental design, and the integration of machine learning for environmental and health data. These works often involve interdisciplinary teams and emphasize decision-making under uncertainty. Professional Memberships: Royal Statistical Society Statistical Society of Australia Institute of Mathematical Statistics International Society for Bayesian Analysis Helen has supervised multiple PhD and Master’s students, both as principal and associate supervisor, in areas including spatial statistics, clinical trial design, and machine learning. She has also secured competitive research funding, such as an Australian Competitive Grant for Bayesian methods in pharmaceutical development. Her teaching spans introductory statistics, mathematical modeling, and advanced applied statistics. Research Centers: Centre for Data Science, QUT Mathematical Sciences Research, QUT

Benjamin Ly Serenaمشاهده پروفایل

استادیار

• Health Economics
• Public Economics
• Health Inequality
• +۴ مورد دیگر

Benjamin Ly Serena serves as an Assistant Professor in the Department of Economics at Copenhagen Business School, specializing in empirical health economics using Danish register data and advanced microeconometric methods. His work addresses critical intersections of public policy, health outcomes, and socioeconomic disparities. His research focuses on: Health Economics: Analyzing determinants of health outcomes and healthcare utilization Public Economics: Evaluating policy impacts on health and education systems Health Inequality: Investigating socioeconomic gradients in longevity and mental health Applied Microeconometrics: Developing causal inference methods using natural experiments Family and Education Economics: Studying intergenerational health and educational impacts Recent publications reveal consistent methodological rigor in decomposing complex health inequalities. His work on life expectancy inequality demonstrates how survivability metrics explain rising disparities, while iodine deficiency research quantifies cognitive impacts of nutrition policies. All studies leverage Denmark's comprehensive administrative data to isolate causal effects through quasi-experimental designs. No scientific awards were documented in available sources. Current research projects indicate active grant-funded work on mental health policy evaluation and socioeconomic inequality in longevity, though specific student advisees and grant details remain unlisted. His collaborations with University of Copenhagen and UC San Diego researchers suggest integration into major Nordic health economics networks. Affiliated exclusively with Copenhagen Business School's Department of Economics, his work operates within Denmark's unique equal-access healthcare context without mention of dedicated labs or specialized research teams.

• Emotional regulation
• Rumination
• Affective forecasting
• +۳ مورد دیگر

Ulrike Zetsche is a researcher at the Department of Education and Psychology, Clinical Psychology and Psychotherapy, Freie Universität Berlin. Her work focuses on emotional regulation , rumination , affective forecasting , and depression , utilizing experience sampling methods. Key Research Themes Emotion regulation processes in clinical populations Cognitive mechanisms in depression and OCD Development of psychological assessment tools Publication Trends : Over 2007–2024, her studies span OCD neurobiology (2007–2012), inhibition deficits in depression (2007–2012), and daily affect regulation (2018–2024). Recent work integrates ambulatory assessment with mindfulness interventions and cognitive control analysis. Collaborations : Works closely with researchers like P.-C. Bürkner, L. Schulze, and B. Renneberg on clinical trials and meta-analyses. Involved in projects such as PANDA, I-REACH, and Smart-e-Moms.

• Mathematics Education
• Educational Technology
• Teacher Training
• +۴ مورد دیگر

Cahit AYTEKİN is an Assistant Professor at the Faculty of Education, Kırşehir Ahi Evran University , specializing in Mathematics Education . With a PhD in Primary Education from Hacettepe University (2016) and a master's in Mathematics (2018), his academic career spans roles such as Vocational School Director (2021–present) and Dean's Assistant (2017–2021). His research focuses on mathematics education, teacher training, and technology integration. Education : PhD (Primary Education, Hacettepe University, 2016); MSc (Mathematics, Kırşehir Ahi Evran University, 2018); MSc (Mathematics Education, Abant İzzet Baysal University, 2012); BSc (Mathematics and Science Education, Kocaeli University, 2008); BSc (Computer Engineering, Kırşehir Ahi Evran University, 2020). His research interests include: Mathematics Education Educational Technology (GeoGebra, augmented reality tools) Gifted Student Pedagogy Student Estimation Skills Math Anxiety Interventions Publications highlight his work on technology-enhanced learning, gifted education, and teacher training, with studies on GeoGebra's impact and parental expectations in mathematics education. He has advised 12 master's theses and led projects like 'Mathematics Teacher Candidates' Computer-Assisted Teaching' . Collaborations with researchers like Serdal Baltacı and Avni Yıldız reflect his interdisciplinary approach.

• Development Economics
• Poverty Measurement
• Inequality Measurement
• +۱۰ مورد دیگر

Miguel Niño-Zarazúa is a Reader in Development Economics in the Department of Economics at SOAS University of London, a Non-Resident Senior Research Fellow at the United Nations University-World Institute for Development Economics Research (UNU-WIDER), and Research Associate of the Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford. His research spans poverty and inequality measurement with applications across labor markets, welfare institutions, and the political economy of foreign aid, state capacity, taxation, and redistribution. His work has a particular geographic focus on sub-Saharan Africa, Latin America, and South and Southeast Asia. His research interests encompass social protection and welfare institutions in the global south, informality and labor market policies, poverty, social exclusion, inequality and polarization, tax policy and redistribution, economics of microfinance, aid and development, and the political economy of state capacity. His recent publications reveal a strong focus on social exclusion measurement, income inequality, lifespan disparity, and the relationship between clientelism and development outcomes. Niño-Zarazúa's scholarly contributions demonstrate consistent engagement with major development challenges through rigorous empirical analysis. His work on social exclusion has provided the first global estimates of populations at risk, while his research on lifespan disparity has created open repositories tracking inequality in length of life across decades. His scholarship bridges theoretical frameworks with practical policy implications for social protection systems worldwide. Research Associate, Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford Non-Resident Senior Research Fellow, UNU-WIDER As Director of Teaching and Learning in the Department of Economics, Niño-Zarazúa oversees academic programs and instructional quality. His extensive publication record across top journals including Nature Scientific Data, World Development, and Journal of African Economies demonstrates significant scholarly impact. His 2019 book 'The Politics of Social Protection in Eastern and Southern Africa' represents a major contribution to understanding social protection systems in the global south.

• Microeconometrics
• Probability Theory
• Mathematical Statistics
• +۳ مورد دیگر

Elena Vladimirovna Kossova is an Associate Professor at the Department of Applied Economics within the Faculty of Economic Sciences at the National Research University Higher School of Economics (HSE). She has been with HSE since 1995, accumulating 30 years of scientific and teaching experience. Her academic background includes a Candidate of Physical and Mathematical Sciences degree from Lomonosov Moscow State University. Educational Background: 1995: Candidate of Physical and Mathematical Sciences, Lomonosov Moscow State University, specialty 01.01.05 "Probability Theory and Mathematical Statistics" 1995: Postgraduate study, Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics 1990: Specialty in Applied Mathematics, Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, qualification "Mathematician" Elena Kossova's research focuses on Microeconometrics, Probability Theory, Mathematical Statistics, and Applied Econometrics. Her work particularly emphasizes microeconometrics of qualitative data, models with qualitative and limited dependent variables, and the application of advanced statistical methods to economic problems. She has developed expertise in handling complex data structures including non-random selection and endogeneity issues. Her teaching portfolio includes Probability Theory and Mathematical Statistics courses alongside specialized microeconometrics courses for both undergraduate and graduate students. Her publication record shows a consistent focus on applying econometric methods to analyze health economics, consumer behavior, and social policy issues in the Russian context. A significant portion of her recent work examines the relationship between alcohol consumption, health outcomes, and socioeconomic factors, as well as the impact of education on health. Her methodological contributions include developing and comparing various approaches to handling sample selection bias and endogeneity in microeconometric models. Scientific Awards and Recognitions: Diploma "Founder of the Higher School of Economics" (November 2022) Honorary title "Honorary Worker of Education of the Russian Federation" (November 2022) Medal "Recognition - 25 years of successful work" (August 2021) Honorary Badge of the 2nd Degree of the Higher School of Economics (December 2018) Medal "Recognition - 20 years of successful work" (January 2018) Certificate of Honor of the Ministry of Education and Science of the Russian Federation (November 2012) Multiple Academic Work Allowances (2012-2018) Publication Bonuses for international journal articles (2018-2022) Best Teacher awards (2012-2025) Professor Kossova serves as a scientific supervisor for the educational program specialization in "Economy and economic policy." She has supervised doctoral research, including Potanin B.S.'s 2020 dissertation on extending regression models with endogenous switching and non-random selection. She is actively involved in research projects, including as project leader for the Russian Science Foundation grant No. 21-18-00427 on "Development and application of econometric estimation methods for economic models considering endogeneity and non-random observation selection." Her work demonstrates strong collaboration with colleagues both within HSE and internationally. Professor Kossova maintains active participation in academic conferences, particularly the annual "Applied Econometrics" conference series at HSE and international econometrics events. Her consultation hours are held via Telegram chat for students taking her courses in TViS (Probability Theory and Mathematical Statistics) and Microeconometrics.

Fanny Janssenمشاهده پروفایل

استاد

• Mortality
• Health-related lifestyle factors
• Projection
• +۷ مورد دیگر

Fanny Janssen serves as a senior researcher at the Netherlands Interdisciplinary Demographic Institute (NIDI-KNAW) in The Hague and holds an Honorary Professorship in "Mortality and Longevity" at the Population Research Centre, Faculty of Spatial Sciences, University of Groningen. Her dual affiliation positions her at the intersection of demographic research and academic instruction, contributing significantly to the field of population studies in the Netherlands and across Europe. Dr. Janssen earned her Bachelor's degree in Human Geography from the University of Groningen, followed by Master's degrees in Demography (Groningen) and Epidemiology (Rotterdam). She completed her academic training with a PhD in Medical Demography from Erasmus University Rotterdam in 2005. After her doctoral studies, she continued her academic career at the University of Groningen before taking her current position at NIDI-KNAW. Dr. Janssen's research primarily focuses on mortality and health at the population level in the Netherlands and Europe. Her work examines mortality differences between men and women, across countries and regions, over time, and across generations. A significant portion of her research investigates how health-related lifestyle factors—particularly smoking, alcohol consumption, and obesity—shape mortality differences and trends. Her ultimate goal is to improve mortality forecasting through a better understanding of these demographic patterns. Her research has evolved to increasingly focus on socio-economic inequalities in mortality, with her VICI project specifically examining how these inequalities will realistically develop in the future. Analysis of Dr. Janssen's recent publications reveals a strong emphasis on educational inequalities in mortality, particularly those attributable to lifestyle factors. Her work spans multiple European countries (England & Wales, Finland, Italy, and the Netherlands), demonstrating a comparative approach to understanding mortality patterns. There is a clear progression in her research from examining general mortality trends to increasingly focusing on the contribution of specific risk factors (smoking, alcohol, obesity) to socio-economic mortality inequalities. Her methodological contributions, particularly in developing approaches to estimate cause-specific mortality by educational level in a time-consistent and internationally comparable manner, represent significant advances in demographic methodology. VIDI grant (2014) from the Netherlands Organisation for Scientific Research (NWO) VICI grant (2020) from the Netherlands Organisation for Scientific Research (NWO) European Demography Award (2018) Dr. Janssen has successfully secured substantial research funding through competitive grants, most notably the prestigious VIDI and VICI grants from NWO. Her VICI research project focuses on socio-economic inequalities in mortality and their future development. While specific details about her advisees are not provided in the source material, her numerous collaborations with researchers across Europe suggest an active role in mentoring junior researchers and PhD students. Her work often involves leadership in large-scale international collaborations examining mortality patterns across multiple countries. As a senior researcher at NIDI-KNAW (a research institute of the Royal Netherlands Academy of Arts and Sciences), Dr. Janssen is part of one of Europe's leading demographic research centers. Her work frequently involves collaboration with researchers from multiple European institutions, including the Max Planck Institute for Demographic Research in Rostock, the University of Helsinki, and various UK institutions. Her research often utilizes population register data from multiple countries, suggesting participation in international data consortia. The scope of her recent work indicates leadership in projects examining socio-economic mortality inequalities across Europe.

Olivier Cappéمشاهده پروفایل

استاد مدعو

• Machine Learning
• Statistical Signal Processing
• Bayesian Methods
• +۳ مورد دیگر

Olivier Cappé is a CNRS Research Director at the Department of Computer Science of École normale supérieure (DI ENS - CNRS/ENS/Inria) and an Adjunct Professor at Université PSL. He is affiliated with the Centre Sciences des Données (CSD) at ENS and serves as a Chair holder and member of the Executive committee of the Pr[AI]rie-PSAI (Paris School of AI) project. Previously, he served as deputy scientific director at INS2I (2017-2023) and headed the Information Processing and Communication Laboratory (LTCI) from 2013 to 2016. Dr. Cappé's research focuses on statistical signal processing and machine learning. His work spans several areas including Bayesian methods, Markov Chain Monte Carlo, online learning, multi-armed bandit models, and differential privacy for machine learning. Starting in speech and audio processing in the 1990s, he contributed to natural language processing applications in the 2000s, and has focused extensively on online learning and bandit algorithms since 2010. His recent work also addresses privacy issues in machine learning systems. Cappé teaches Reinforcement Learning and Differential Privacy for Machine Learning courses in the IASD master program at Université PSL. His publication record shows consistent output across multiple research areas, with recent work focusing on bandit algorithms, online learning, and privacy-preserving machine learning. His research bridges theoretical foundations with practical applications in digital advertising, recommendation systems, and pandemic response analysis. Grand Prize of the EADS Corporate Foundation (Information Sciences) from the French Academy of Sciences (2013) Co-author of 'Tout comprendre (ou presque) sur l'intelligence artificielle' with Claire Marc Dr. Cappé holds a Supélec engineering degree (1990) and a doctorate from ENST (currently Télécom ParisTech, 1993). He joined CNRS as a researcher in 1996 and has maintained a productive research career spanning over 30 years, with significant contributions to both theoretical and applied aspects of statistical signal processing and machine learning.

Samuel Prestonمشاهده پروفایل

استاد

• Demography
• Mortality Trends
• Public Health
• +۷ مورد دیگر

Samuel Preston, Ph.D., is a Professor of Sociology at the University of Pennsylvania, affiliated with the School of Arts & Sciences. He holds secondary roles in the Population Studies Center and has extensive academic credentials, including a Ph.D. in Economics (Princeton University, 1968) and a B.A. in Economics (Amherst College, 1965). His research focuses on population health dynamics, particularly mortality transitions, racial disparities in mortality, and the effects of behavioral risk factors like cigarette smoking and obesity. Recent work has emphasized regional inequalities in life expectancy and the epidemiological impact of the COVID-19 pandemic across U.S. counties and demographic groups. Dr. Preston is a co-author of the authoritative demography textbook with Michel Guillot and Patrick Heuveline. He has been honored as a member of both the National Academy of Sciences and the National Academy of Medicine. His collaborative efforts include projects with Irma Elo and Penn's graduate students to dissect the socioeconomic and geographic dimensions of health outcomes. Beyond his academic contributions, he has engaged in policy-relevant analyses of mortality patterns and healthcare disparities, reflecting his commitment to bridging demographic research with societal challenges. His advising narrative includes mentoring past and present graduate students in demography and public health, contributing to their studies on life expectancy disparities. Grants and funding details are not explicitly listed in the provided texts, but his involvement in major projects like the John Adams Institute Accelerator Design Project suggests sustained research support. The Population Studies Center serves as a key hub for his collaborative work, focusing on interdisciplinary approaches to demographic and health-related inquiries.

Raffaele Rossiمشاهده پروفایل

استاد

• Macroeconomics
• Public Finance
• Applied Time Series Econometrics
• +۴ مورد دیگر

Raffaele Rossi is a Professor of Economics in the Department of Economics at the Birmingham Business School, University of Birmingham , where he also serves as Director of the MSc Money, Banking and Finance Programme. He joined the university in July 2023, having previously held the position of Reader at the University of Manchester. PhD, University of Glasgow MSc, University of Edinburgh BSc, University of Milano-Bicocca His research lies at the intersection of macroeconomics, public finance, and applied time series econometrics , with additional interests in inequality, household finance, monetary policy, and fiscal policy. His work often employs structural estimation and dynamic macroeconomic modeling to analyze tax reforms, fiscal-monetary interactions, and economic shocks. The recent publications of Professor Rossi reveal a strong focus on the long-term effects of taxation, particularly marginal and consumption tax changes, using structural models. His work also addresses contemporary macroeconomic challenges such as the economic impacts of the COVID-19 pandemic and uncertainty. A recurring theme is the design and evaluation of optimal fiscal and monetary policy rules in complex economic environments, often incorporating habits, rule-of-thumb consumers, and sectoral heterogeneity. While no formal awards are listed in the provided texts, his publications in leading journals such as the Journal of Monetary Economics , American Economic Journal: Economic Policy , and European Economic Review attest to the high caliber of his research. His work demonstrates a consistent commitment to rigorous empirical and theoretical analysis of critical policy issues in modern macroeconomics. Professor Rossi supervises research in macroeconomic policy and econometrics, though specific student names are not listed. He is actively engaged in ongoing research, including working papers on taxing consumption in unequal economies and housing credit supply shocks. He is based at the University of Birmingham, contributing to the research and teaching mission of the Department of Economics.