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Gregor BöhlView profile

Researcher

• Dynamic Macroeconomics
• Macroeconometrics
• Econometrics
• +12 more

Dr. Gregor Böhl is a Principal Investigator at the Institute for Macroeconomics and Econometrics within the Department of Economics at the University of Bonn. His research is fully funded by the German Research Foundation (DFG) under project 441540692, focusing on dynamic macroeconomics, econometrics, and public economics. He is also affiliated with the CRC TR 224 EPoS and contributes to the OSE initiative for teaching and research infrastructure. His research interests lie at the intersection of Dynamic Macroeconomics , Heterogeneous Agent Models (HANK) , DSGE modeling , and computational economics . He investigates how household heterogeneity shapes macroeconomic outcomes, particularly in the context of inequality , climate policy , monetary financing , and financial frictions . His methodological expertise includes nonlinear solution techniques, Bayesian estimation under occasionally binding constraints, and high-performance computational tools. The recent trend in his publications reveals a strong focus on the empirical and structural analysis of monetary policy , especially at the zero lower bound, the macroeconomic implications of climate policies , and the development of robust computational methods for solving complex economic models. His work combines theoretical modeling with advanced numerical techniques and open-source software development. 2017 Student Prize of the Society for Computational Economics Dr. Böhl has secured competitive research funding from the DFG and the OSE initiative. He actively mentors researchers and collaborates with leading economists such as Cars Hommes, Felix Strobel, and Gavin Goy. His academic contributions extend beyond publications to the development of widely used open-source software packages like pydsge , econpizza , and dime_sampler , which support estimation, simulation, and inference in macroeconomic models. He previously held a postdoctoral position at IMFS, Goethe University Frankfurt, with collaborations at the Hoover Institution, Stanford University. He leads a research group focused on computational macroeconomics and maintains a strong commitment to open science, reproducibility, and the use of free and open-source software (FOSS) in economic research. His team develops and maintains several GitHub repositories that provide tools for nonlinear filtering, Bayesian inference, and HANK model solutions.

• Macroeconomics
• Monetary Policy
• Fiscal Policies
• +3 more

Jacopo Bonchi is an Assistant Professor (Tenure Track) at the University of Bologna's Department of Economic Sciences. His research focuses on macroeconomic policy design, monetary and fiscal interactions, and macro-finance linkages. He holds a Ph.D. in Economics from Sapienza University of Rome and previously served as a Research Fellow at the University of Pavia, Sapienza University of Rome, and LUISS University, alongside an Assistant Professor role at Bicocca University of Milan. His work examines critical issues such as declining natural interest rates, the role of social security systems, and the impact of asset price bubbles on monetary policy effectiveness. Notable contributions explore policy responses at the zero lower bound and the stabilization role of public debt. Publications span top journals like Journal of Public Economics , European Economic Review , and Review of Economic Dynamics . His research demonstrates expertise in quantitative macroeconomic modeling, fiscal-monetary policy coordination, and the macroeconomic implications of financial market phenomena. Bonchi's academic affiliations include dual campus locations in Bologna and Forlì. Office hours are held Thursdays in Forlì (in-person) and by online appointment during the first semester, requiring 24-hour prior email notification.

Daniel LevyView profile

Visiting Professor

• Macroeconomics
• Industrial Organization
• Political Economy
• +4 more

Prof. Daniel Levy is a Visiting Professor at the Department of Economics, Bar-Ilan University, Israel. He holds the William Gittes Chair in Macroeconomics. His academic career includes roles at Emory University and contributions to research on price rigidity, macroeconomics, and political economy. Education: PhD in Economics, University of California, Irvine (1991) MA in Economics, University of California, Irvine (1990) BA (cum laude) in Economics and Statistics, Ben-Gurion University, Israel (1982) Research Interests: Focuses on price setting mechanisms, business cycles, economic growth, and political economy. His work explores topics like asymmetric price adjustment, the impact of pricing formats, and economic systems in fictional universes (e.g., Harry Potter's economy). His recent research highlights include analyzing price rigidity during hyperinflation, the role of zero-ending prices, and the behavioral economics of price perception. Teaching: Offers courses such as Advanced Monetary Theory, Dynamic Programming, and Ph.D. Workshops. Engages students in applied economics through seminars and dynamic modeling. Grants & Labs: No specific grants or labs mentioned, but his research has been supported by collaborations with institutions like Emory University and ISET Policy Institute. Active in editorial roles for journals like Managerial and Decision Economics .

Paul MarriottView profile

Professor

• Geometric Statistics
• Differential Geometry
• Mixture Models
• +6 more

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

Surya Tapas TokdarView profile

Professor

• Bayesian Statistics
• Neuroscience
• Statistical Machine Learning
• +4 more

Surya Tapas Tokdar is a Professor of Statistical Science at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences. His research bridges Bayesian statistics, machine learning, and neuroscience. Ph.D. from Purdue University (2006) Research Interests include neural signal processing, Bayesian density regression, Gaussian process modeling, and quantile regression. He focuses on understanding how statistical methods can decode brain activity patterns and address high-dimensional data challenges. Recent Publications highlight his work on neural multiplexing, Bayesian topic models, and spatial data analysis. His studies often explore how neurons encode information and how statistical tools enhance interpretability. Awards include the Leonard J. Savage Dissertation Award and participation in prestigious Bayesian inference seminars. Grants span projects on neural information preservation, dependent extremes analysis, and gene-environment interactions.

Ryan WoodgateView profile

Assistant Professor

• Offshoring
• Profit Shifting
• Multinational Production
• +9 more

Dr. Ryan Woodgate is Assistant Professor of Economics & Statistics at Forward College Berlin, with affiliations to the Institute for International Political Economy Berlin and the Post-Keynesian Economics Society. His research bridges macroeconomic modeling and empirical analysis of modern economic challenges. PhD in Economic Sciences, Université Sorbonne Paris Nord MA International Economics, Berlin School of Economics & Law MA Economic Analysis & Policy, Université Sorbonne Paris Nord MA (Hons) Economics, University of Edinburgh His work focuses on offshoring, profit shifting, multinational corporations, tax policy competition, sustainability of public finances, and speculative dynamics. He has developed post-Keynesian frameworks to analyze growth regimes and inflation mechanisms. Dr. Woodgate's recent publications explore nonlinear conflict inflation models, net-zero emissions transitions, and policy competition paradoxes. He contributes to journals like European Journal of Economics and Economic Policies: Intervention and Review of Political Economy . Young Researcher Prize 2023, German Keynes Society He teaches undergraduate and postgraduate courses in international economics, monetary theory, and statistical methods at Forward College Berlin, Berlin School of Economics & Law, and University of Edinburgh, emphasizing historical and political context in economic pedagogy.

Jacob MartinView profile

Senior Lecturer

• Statistics Education
• Applied Statistics
• Regression Analysis
• +4 more

Jacob Martin, Ph.D. , is a Senior Lecturer in the Department of Mathematics and Statistics at the University of Vermont (UVM), affiliated with the College of Engineering and Mathematical Sciences. He teaches courses in statistics, including Elements of Statistics, Basic Statistical Methods, Applied Multivariate Methods, Experimental Design, and Categorical Data Analysis. Education: Ph.D. in Statistics (University of Georgia, 2019) His research focuses on Statistics Education and specialized areas in statistical modeling, including Zero-inflated Poisson Regression , Coefficients of Determination , and Marginalized Models . His graduate work included teaching roles in Introductory Statistics and Computing, Statistical Methods, and Honors Applied Statistics. Scientific Awards: Awards for teaching and academics

Jonathan SwarbrickView profile

Lecturer

• Monetary Policy
• Macroeconomics
• Financial Economics
• +3 more

Dr. Jonathan Swarbrick is a Lecturer in Economics at the University of St Andrews' Business School, affiliated with the School of Economics & Finance. His research focuses on macroeconomic dynamics, particularly monetary policy transmission mechanisms and financial stability. He currently supervises postgraduate research students and leads the British Academy-funded project 'Unemployment and monetary policy in an uncertain world' (2022-2024). Research Interests: Swarbrick's work centers on macro-financial linkages in DSGE models, unconventional monetary policy tools, credit market frictions, and international financial spillovers. His research examines how banking constraints and asset market participation influence business cycles, with applications to monetary policy design during economic crises. Specific interests include: Zero-lower bound constraints and policy sequencing Macroprudential regulation-business cycle interactions Credit rationing mechanisms during financial stress Cross-border transmission of financial risks Solution methods for nonlinear macroeconomic models Awards & Funding: British Academy Award (£9,970) for 'Unemployment and monetary policy in an uncertain world' (2022-2024)

Ralf FendelView profile

Professor

• Macroeconomics including Open Economy Macroeconomics
• Monetary Theory and Policy
• International Finance
• +7 more

Ralf Fendel is a Professor at WHU – Otto Beisheim School of Management, where he is a member of the Economics Group. His research focuses on macroeconomic policy with particular emphasis on the European Central Bank, monetary theory, and international finance. Contactable at ralf.fendel@whu.edu, he investigates critical contemporary issues including financial crises, climate change impacts on monetary policy, and Eurozone economic stability. Professor Fendel's expertise spans Macroeconomics (including Open Economy Macroeconomics), Monetary Theory and Policy, International Finance, European Integration, Growth and Development, and Financial Crises. His work consistently addresses the European Central Bank's policy mechanisms, inflation dynamics, and the interplay between monetary policy and global economic challenges. Recent research explores how climate change affects financial stability and how geopolitical events like Trump's trade war influence market behavior. Analysis of his 14 publications from 2020-2023 reveals a concentrated research trajectory on ECB communications, monetary policy transmission in the Eurozone, and pandemic-era economic responses. Key methodological approaches involve econometric analysis of bond yields, inflation forecasting, and recession probability modeling. His work demonstrates how central bank forward guidance affects market expectations and how country-specific factors mediate policy impacts across Eurozone core and periphery nations. As part of WHU's Economics Group, Professor Fendel contributes to a research ecosystem focused on European economic policy development. The group examines macroeconomic theory, monetary economics, and international finance through both theoretical frameworks and empirical analysis of real-world policy challenges, with particular attention to ECB operations and Eurozone integration dynamics.

• Computer Vision
• Big Data Analytics
• Generative AI in Education
• +2 more

Dr. Kaveh Kiani is a faculty member at the University of Salford's School of Science, Engineering & Environment, with a primary affiliation to the Informatics Research Centre. His academic profile demonstrates expertise spanning both theoretical statistics and practical AI applications across multiple industries. Doctoral degree in Applied Statistics Master's degree in Data Science Postgraduate Certificate in Academic Practice (PGCAP) Fellow of the Higher Education Academy (FHEA) Dr. Kiani's research focuses on computer vision, big data analytics, generative AI applications in education, and survival analysis. His work bridges statistical theory with practical implementations, particularly evident in medical AI applications for respiratory disease detection, skin cancer diagnosis, and prostate cancer research. His industry experience informs his approach to solving real-world problems in healthcare, construction sustainability, and financial services. His recent publications (2023-2025) demonstrate strong activity in applying deep learning techniques to medical imaging and developing novel frameworks for industry-specific challenges. The research shows a clear trajectory toward increasingly sophisticated AI applications with practical impact. Fellow of the Higher Education Academy (FHEA) awarded by Advance HE Endorsed by The Royal Academy of Engineering as a Global Talent in Data Science Dr. Kiani actively supervises PhD students and teaches across multiple postgraduate programs including MSc Data Science, MSc Artificial Intelligence, and MSc Internet of Things with Data Science. His teaching modules cover Big Data Tools and Techniques and Applied Statistics and Data Visualisation, reflecting his dual expertise in both theoretical foundations and practical applications of data science.