Find Academic Supervisors

• Banking
• Finance and Investment
• Applied Economics
• +8 more

Patrick Bolton is a Professor of Finance and Economics at the Department of Finance, Business School, Imperial College London. He is affiliated with the Centre for Climate Finance and Investment. His research focuses on banking, finance, applied economics, and the intersection of climate policy with economic systems. Key themes include carbon pricing, sovereign debt restructuring, corporate climate accountability, and financial stability in an era of ecological risks. His work addresses critical issues like climate finance mobilization, the economic implications of carbon transition risks, and the design of equitable global climate finance mechanisms. Bolton has extensively studied financial regulation, corporate governance, and the role of central banks in managing climate-related systemic risks. His contributions span theoretical frameworks for corporate finance, optimal debt structures, and the impact of environmental policies on corporate behavior. Bolton’s recent research emphasizes practical solutions to decarbonization challenges, including financing frameworks for low-income nations and mechanisms to align investment portfolios with net-zero goals. He critiques existing financial systems for inadequate responses to climate crises and proposes innovative policy instruments to enhance resilience and equity. Notable contributions include analyses of the 2012 Greek debt crisis, the 2023 Credit Suisse collapse, and the role of contingent convertible bonds in banking fragility. He advocates for integrated approaches to climate finance and debt sustainability, emphasizing global coordination to address ecological and economic interdependencies.

• Macroeconomics
• Monetary Economics
• Applied Econometrics
• +3 more

Professor Mariano Kulish is a Professor of Macroeconomics at the School of Economics, University of Sydney. He holds a PhD in Economics from Boston College (2005) and previously worked at the Reserve Bank of Australia's Economic Research Department. His research focuses on macroeconomics, monetary policy, structural changes, and applied econometrics, with notable contributions to DSGE modeling, zero interest rate policies, and commodity price impacts. Key research themes include analyzing economies undergoing structural shifts, fiscal policy in open economies, and the implications of unconventional monetary policies like yield curve control. His work frequently addresses policy-relevant issues such as disinflation strategies, terms of trade volatility, and the stability of inflation-unemployment relationships. He has secured grants including the Australian Research Council's 2019 Discovery Project on fiscal policy in open economies. His publications span top journals like the Journal of Monetary Economics , Journal of Applied Econometrics , and European Economic Review . Recent work explores fiscal arithmetic in growth slowdowns, international spillovers of monetary policy, and the Dutch Disease hypothesis in commodity-rich economies. Professor Kulish’s research combines theoretical modeling with empirical analysis, emphasizing policy relevance. He maintains an active presence in academic collaborations and policy discussions, reflecting his dual role as a researcher and former central bank economist.

Ching-yun WangView profile

Academic

• Survival Analysis
• Measurement Error
• Missing Data
• +5 more

Ching-Yun Wang is an Affiliate Professor in Biostatistics at the University of Washington and a Professor in the Biostatistics Program at Fred Hutchinson Cancer Research Center (Fred Hutch). He holds roles in the Public Health Sciences Division and the Translational Data Science Integrated Research Center (TDS IRC). His research focuses on methodological advancements in measurement error, missing data, survival analysis, and clinical trials, with applications in nutritional epidemiology and cancer prevention. He collaborates extensively with researchers on trials involving diet, physical activity, and colorectal cancer screening strategies. Education: PhD in Statistics from Texas A&M University (1993) and MS from National Tsing-Hua University (1985). Research interests include semi-parametric models, joint modeling of survival and longitudinal data, and high-dimensional biomarker analysis. Key research contributions include developing robust statistical methods for handling covariate errors in survival models and analyzing data from large-scale clinical trials. His work has been applied in studies like the Women’s Health Initiative and colorectal cancer screening interventions. Publications highlight methodological innovations in regression calibration, longitudinal data analysis, and missing data frameworks. Collaborations span multiple disciplines, including oncology, epidemiology, and public health. His lab (C-Y Wang Group) actively engages in translational data science projects.

• Superannuation
• Pension Systems
• Climate Change Economics
• +7 more

Ummul Ruthbah is an Associate Professor (Research) at the Monash Centre for Financial Studies, Monash University. She holds dual external appointments as Associate Professor at the University of Dhaka and previously served as an Assistant Professor there. Her research focuses on superannuation, climate change economics, modern slavery, and development economics. She has extensive industry experience including five years as a World Bank consultant and IMF researcher. Education: PhD in Economics, Massachusetts Institute of Technology (2002-2007) MA in Economics, Massachusetts Institute of Technology (2001-2002) Research Interests: Superannuation policy and tax concessions Climate change mitigation strategies and carbon pricing Modern slavery disclosure and supply chain transparency International development and agricultural technology adoption Awards: 2023 Dean's Award for Excellence in Research Engagement and Impact 2023 Outstanding AJAE Article Award Key Projects: Lead researcher on superannuation tax concession studies Climate change insurance impact analysis for Australian housing Modern Slavery Act compliance evaluations for ASX-listed companies Carbon pricing mechanisms analysis for net-zero transition Labs/Teams: Active in the Monash Centre for Financial Studies Impact Labs, collaborating with global institutions on sustainable finance and development economics initiatives.

• Financial Markets
• Financial Econometrics
• Asset Prices and Trading Volume
• +7 more

Dr. Michael Ellington is a Senior Lecturer in Finance at the University of Liverpool Management School, specializing in Financial Econometrics, Asset Pricing, and Monetary Policy. His research focuses on topics such as network analysis, systemic risk, and Bayesian modeling. He serves as an Associate Editor for the International Journal of Finance and Economics and collaborates with institutions like the Bank of England. Affiliations: University of Liverpool Management School, Department of Finance. Key Roles: Associate Editor (International Journal of Finance and Economics), Referee for top journals, and invited speaker at the Bank of England. Dr. Ellington's research interests span Financial Markets, Forecasting, and the interplay of monetary policy with real economic variables. Notable contributions include studies on financial connectedness, real wage rigidity, and volatility risk premia. His work has been recognized by the Center for Financial Stability (CFS) and awarded the 2018 Early Career Research Award. He teaches modules such as Economics of Risk and Uncertainty and Financial Management for Business. His professional activities include examining PhD theses and contributing to policy discussions on monetary aggregates and financial stability.

Denis LarocqueView profile

Professor

• Non-parametric statistical methods
• Data mining
• Multidimensional Data Analysis
• +6 more

Denis Larocque is a Full Professor in the Department of Decision Sciences at HEC Montréal, specializing in statistical methods, data mining, and multidimensional data analysis. He serves as Director of the Doctorate in Administration (Ph.D.) program and is affiliated with the GERAD (Group for Research in Decision Analysis) and CIRRELT (Interuniversity Research Center on Enterprise Networks, Logistics and Transport). His academic background includes a M.Sc. and Ph.D. in Statistics from the University of Montreal. His research focuses on non-parametric statistical methods, survival analysis, reinforcement learning applications in transportation systems, and machine learning techniques such as random forests. Recent work includes studies on traffic signal control optimization, causal inference in medical data, and predictive modeling in healthcare. Larocque has supervised over 100 students and projects, including 2 doctoral theses and 4 master’s theses in the last five years. He teaches advanced data science courses and has contributed to interdisciplinary research across transportation, healthcare, and marketing domains. His publications span journals in statistics, transportation engineering, and bioinformatics. He actively collaborates with industry partners, applying statistical and machine learning methodologies to solve real-world problems in sectors such as finance, logistics, and healthcare. His work emphasizes practical applications of data-driven decision-making and methodological advancements in statistical computing.

Marc FredetteView profile

Professor

• Analysis of longitudinal data
• Prediction
• Biostatistics
• +7 more

Marc Fredette is a Professor in the Department of Decision Sciences at HEC Montréal. His roles include academic supervision of the Master of Science (MSc) - User Experience in a Business Context and the Short Graduate Program in User Experience. He is also a board member of Tech3Lab, a member of CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation), and GERAD (Group for Research in Decision Analysis). Education: M.Sc. in Statistics from Université de Montréal and Ph.D. in Statistics from the University of Waterloo. Research interests focus on longitudinal data analysis, biostatistics, Bayesian statistics, and random effects models. His work also explores human factors, UX design, and neuroIS applications, including studies on pedestrian safety, multitasking with IT systems, gamification, and neurophysiological correlates of collaborative tasks. Recent publications emphasize IT-related multitasking effects, gamification in workplaces, and neurophysiological studies of collaborative tasks. He has been recognized for contributions to UX evaluation methodologies and neuroIS research. Supervision includes 3 PhD dissertations and 7 MSc theses, along with 18 supervised projects on data analysis and business applications. His teaching includes courses on database analysis and project-based data analysis. Labs/Teams: Active in Tech3Lab, CIRRELT, and GERAD, focusing on interdisciplinary research in decision sciences and user experience innovation.

• Biostatistics
• Clinical Trial Design
• Bayesian Hierarchical Modeling
• +3 more

Dr. Song Zhang is an Assistant Professor at the University of Texas Southwestern Medical Center, Department of Clinical Sciences. He serves as Director of BERD (Biostatistics, Epidemiology, and Research Design) for the UTSW CTSA program and is a member of the NCI Central Institutional Review Board (Adult CIRB – Early Phase Emphasis). His research focuses on statistical methodology, particularly Bayesian hierarchical modeling and clinical trial design, addressing challenges like clustered data, missing values, and cost constraints. He has authored a book on sample size calculations for clustered and longitudinal outcomes and secured grants as PI from NIH, NSF, and PCORI. His work spans disease mapping, joint modeling of longitudinal/survival outcomes, grant review methodologies, and pathway analysis. He has extensively published on clinical trial design innovations, including stepped-wedge cluster trials and pragmatic trial methodologies. His research bridges statistical rigor with practical healthcare applications, emphasizing efficient trial design and evidence-based decision-making.

Zijian GuoView profile

Associate Professor

• High-dimensional statistics
• Causal Inference
• Nonparametric Statistics
• +4 more

Zijian Guo is an Associate Professor in the Department of Statistics at Rutgers University, School of Arts and Sciences. He holds a PhD in Statistics from the University of Pennsylvania (2017) and a B.S. in Mathematics from The Chinese University of Hong Kong (2012). His research focuses on high-dimensional statistical inference, causal inference with instrumental variables, nonparametric methods, and applications in health and genomics data. Education: Ph.D., Statistics, The Wharton School, University of Pennsylvania (2017) B.S. (First Honor), Mathematics, The Chinese University of Hong Kong (2012) Research Interests: His work addresses uncertainty quantification in high-dimensional models, causal inference with invalid instruments, and machine learning applications in healthcare. Notable contributions include federated meta-learning, semi-supervised risk prediction, and robust Mendelian randomization analysis. Grants: NIH R01LM013614 (Co-PI): Semi-supervised Approaches to Denoising Electronic Health Records NIH R01GM140463 (PI): Predictive Modeling with High-Dimensional Incomplete Data NSF DMS 2015373 (Co-PI): Repro Sampling Method for Discrete Parameter Inference Awards: ICSA New Researcher Award (2019) Bernoulli Society New Researcher Award Honorable Mention (2023) President Gutmann Leadership Award (2017) He has developed R packages like SIHR, RobustIV, and DDL for high-dimensional statistical inference. Teaching includes Financial Data Mining and Advanced Modern Statistical Inference at the PhD level.

Rob LesterView profile

Associate Professor

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

Rob Lester is an Associate Professor of Economics at Colby College, where he teaches courses including Macroeconomic Theory (EC224) and The American Dream and the American Worker (EC253). His research focuses on macroeconomic policy analysis, labor market dynamics, and the distributional effects of monetary and fiscal policies. Lester's work explores topics such as inflation dynamics, central bank asset purchases, and the welfare implications of transitioning to digital currencies. His research interests span monetary policy frameworks (e.g., nominal GDP targeting, Neo-Fisherian hypotheses), household economic behavior, and structural changes in labor markets. Notable contributions include analyzing the impact of supply shocks at the zero lower bound and quantifying disparities in the American worker's economic experiences. Lester's publications demonstrate a focus on bridging theoretical macroeconomic models with real-world policy challenges. His work frequently addresses contemporary issues like economic inequality, the role of central banks in post-crisis environments, and the empirical relevance of classical economic theories. He is affiliated with Colby College's Economics Department and maintains an active research agenda with recent articles appearing in prestigious journals. No scientific awards are listed in the provided information.

Diederik RoestView profile

Professor

• Theoretical Cosmology
• String Theory
• Gravity
• +6 more

Diederik Roest is a Full Professor of Theoretical Physics at the Faculty of Science and Engineering, University of Groningen, where he is affiliated with the Van Swinderen Institute for Particle Physics and Gravity. His research focuses on theoretical cosmology and gravity, with particular emphasis on string theory, inflation models, and the double copy framework connecting gravity to particle physics. Roest received his PhD in theoretical physics in 2004 with cum laude distinction. After postdoctoral positions in London and Barcelona, he joined the University of Groningen in 2008 with a VIDI fellowship. He was appointed assistant professor in 2010, associate professor in 2014, and full professor in 2019. His research interests span theoretical aspects of cosmological models, particularly those of the primordial Universe, as well as field theory aspects of gravity. He has made significant contributions to different models of inflation and their observational signatures. More recently, his work has focused on the double copy relations between gravity and Yang-Mills theories, which provides a powerful framework for understanding gravitational phenomena through simpler gauge theories. His research often bridges abstract theoretical concepts with concrete observational predictions, such as those related to cosmic background radiation. Roest's recent publications reveal a strong focus on the double copy framework, exceptional field theories, and connections between gravitational physics and particle physics. His work on inflationary models continues to be influential, with ongoing research into multi-field inflation scenarios and their cosmological implications. He has also expanded into black hole physics, particularly studying phenomena around extremal black holes. Member of the Young Academy (2014) FOM projectruimte (2015) FOM personal grant (2014) VIDI 5-year fellowship (2008) Roest has supervised 13 PhD students and serves as Programme director for the BSc programme in Physics and Applied Physics since 2020. He is also the Educational director for the Van Swinderen Institute for Particle Physics and Gravity. Beyond his research, he is passionate about science communication and has contributed to public outreach initiatives, including an online course on science for children aged 10-12. He is actively involved with the Cosmic Frontier research group at the University of Groningen, collaborating with international teams on projects related to the Laser Interferometer Space Antenna (LISA) and other cosmological observatories. His work often involves interdisciplinary collaborations across theoretical physics, mathematics, and observational cosmology.

Haewon McJeonView profile

Researcher

• Climate Change
• Integrated Assessment Modeling
• Deep Decarbonization
• +3 more

Haewon McJeon is an Associate Research Scholar at the Center for Global Sustainability (CGS) and a research scientist at the Joint Global Change Research Institute , a partnership between the Pacific Northwest National Laboratory and the University of Maryland. He specializes in integrated assessment modeling and deep decarbonization strategies. Education: Ph.D. in Environmental Policy, University of Maryland B.A. in Economics, Seoul National University Research Interests: Dr. McJeon’s work focuses on decision-making under climate uncertainties, analyzing technology combinations for climate stabilization, and net-zero/negative emissions strategies. His expertise includes the GCAM model and U.S. mid-century decarbonization planning. Publication Trends: His recent articles address climate policy design, electrification, methane reduction, and sectoral decarbonization, reflecting his commitment to advancing U.S. and global climate goals through modeling and interdisciplinary analysis. Labs & Teams: He leads the Socioeconomics component of the GCAM core model development team and contributes to U.S. climate strategy research alongside colleagues at CGS and the Joint Global Change Research Institute.

Allen FawcettView profile

Research Professor

• Climate Policy
• Environmental Economics
• Energy Systems
• +3 more

Allen Fawcett is a Research Professor at the University of Maryland’s School of Public Policy and Director of the Joint Global Change Research Institute (JGCRI), a partnership between the Pacific Northwest National Laboratory (PNNL) and the University of Maryland. His work focuses on climate policy, economic analysis of climate interventions, and energy systems modeling. Fawcett holds a PhD in Economics from the University of Texas and a BA in Economics from the College of William & Mary. He has held key roles in U.S. climate policy, including Deputy Associate Director for Energy & Climate at the White House Council on Environmental Quality (2010–2011) and Chief of the EPA’s Climate Economics Branch (2012–2024). His research has informed international climate negotiations, including contributions to the Paris Agreement and the U.S. Midcentury Strategy. He co-authored influential papers like Can Paris Pledges Avert Severe Climate Change? (2015) and Can Updated Climate Pledges Limit Warming Well Below 2°C? (2021). Fawcett leads the JGCRI, which bridges human, energy, and environmental systems research. He collaborates with global institutions like the IPCC and chairs initiatives such as the Stanford Energy Modeling Forum’s EMF 24, 32, and 37 studies. His recent work examines policy pathways for achieving net-zero emissions, including analyses of the Inflation Reduction Act’s impacts on U.S. energy systems and equity considerations in decarbonization.

• Regional Economics
• Spatial Statistics
• Econometrics
• +4 more

Roberto Patuelli is an Associate Professor of Economic Policy at the Department of Economics, University of Bologna. He holds a Ph.D. in Economics from Vrije Universiteit Amsterdam and has extensive experience in academic roles across Europe, including post-doctoral research and teaching at institutions in Switzerland, Germany, and Italy. His research focuses on regional economics, spatial statistics, econometrics, and transportation policy, with a particular emphasis on complex networks and regional innovation processes. Education: Bachelor in Statistics and Economics (University of Bologna), M.A. in Transportation Policy (George Mason University), and Ph.D. in Economics (Vrije Universiteit Amsterdam). Past roles include visiting researcher positions at ETH Zurich and the ZEW Centre in Mannheim, as well as editorial roles for journals like REGION and Tourism Economics. He has coordinated major research projects, including the JPI-Urban Europe 'SmartHubs' initiative. Research interests span spatial econometrics, neural network forecasting, commuting networks, and the economic impact of tourism. He has authored over 50 peer-reviewed articles and edited volumes, including works on spatial filtering and gravity models. Awards include the Italian National Scientific Qualification for full professorial roles in economic policy and applied economics. Grants and collaborations include leadership in projects funded by the Swiss National Science Foundation, the European Commission, and the Italian Ministry of Research. He advises on tourism and regional policy, with a focus on spatial interaction models and policy evaluation. His teaching spans undergraduate and graduate courses in regional economics, tourism economics, and spatial statistics. Labs/Teams: Active member of the Rimini Centre for Economic Analysis and collaborator with institutions like the University of Oviedo and ETH Zurich. His work bridges theoretical econometrics with applied policy analysis in regional development.

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

Narayana Kocherlakota is the Louise & Henry Epstein Professor of Business Administration and Professor of Finance at the Simon Business School, University of Rochester. He previously served as President and CEO of the Federal Reserve Bank of Minneapolis (2009–2015), where he participated in the Federal Open Market Committee (FOMC). His research focuses on monetary policy, fiscal policy, business cycles, and financial economics. He holds a PhD in Economics from the University of Chicago (1987), advised by Lars Peter Hansen and José Scheinkman. Kocherlakota has held academic positions at Stanford University, Northwestern University, the University of Iowa, and the University of Minnesota. His research spans theoretical and empirical contributions to money and payments systems, public finance, and dynamic contracts. Current work emphasizes monetary policy frameworks, fiscal interactions, and inflation dynamics. He has written extensively on policy challenges at the zero lower bound and tail risk management. Notable awards include Fellow of the Econometric Society (2005) and recognition as one of Foreign Policy’s Top 12 Global Thinkers (2012). Recent publications explore topics like debt sustainability, inflation traps, and policy asymmetries. His work often bridges academic theory and practical policy, addressing issues like fiscal-monetary coordination and central bank independence. Kocherlakota teaches macroeconomics and macro-finance courses and remains active in policy debates through blogs and public commentary.