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Ş. Nuray AkınView profile

Associate Professor

• Macroeconomics
• Economic Theory
• Industrial Organization
• +7 more

Ş. Nuray Akın is an Associate Professor of Economics at Özyeğin University's School of Business in Istanbul. She serves as Chairperson of the Department of Economics and holds leadership roles on the Executive Boards of the School of Business and Graduate School of Business. From 2018-2021, she directed MBA/Executive MBA programs while contributing to AACSB accreditation and Harvard Business School partnerships. Education: Ph.D. in Economics, University of Minnesota M.A. and B.A. in Economics, Boğaziçi University Research Interests: Her work bridges macroeconomics and economic theory with applications in industrial organization. Key areas include dynamic general equilibrium modeling , search theory , pricing mechanisms , risk-sharing systems , and social security design . Recent publications analyze consumer search behavior, equilibrium price distributions, and welfare implications of immigration policy. Scientific Awards: Young Researcher Award, Turkish Science Academy TÜBİTAK 2232 Grant for returning scholars TÜBİTAK 2219 Grant for international research visits Professional Network: Previously held academic positions at University of Southern California (Marshall School of Business) and University of Miami (Herbert School of Business). Conducted research at Federal Reserve Banks of Minneapolis and St. Louis, IZA in Germany, and World Bank Group's Global Macroeconomics Team.

Filippo PavanelloView profile

Assistant Professor

• Environmental Economics
• Climate-change Economics
• Health Impacts of Climate Change
• +3 more

Filippo Pavanello is an Assistant Professor (non-tenure track) at the ifo Institute and Ludwig Maximilian University of Munich, and a research affiliate of the CESifo Research Network, the Euro-Mediterranean Centre on Climate Change (CMCC), Ca’ Foscari University of Venice, and the RFF-CMCC European Institute on Economics and the Environment. Education PhD in Economics, University of Bologna (2024) MSc in Economics, Ca’ Foscari University of Venice (2018) BA in Economics and Trade, Ca’ Foscari University of Venice (2016) Research Interests Pavanello’s work lies at the intersection of environmental, development and health economics, with a particular focus on the micro-level impacts of climate change and the effectiveness of adaptation strategies in developing economies. Employing state-of-the-art micro-econometric techniques, he quantifies: The social costs of rising temperatures, especially through heat-related mortality. Household adaptation responses, including the adoption of cooling technologies and the role of income constraints. The highly unequal distribution of heat exposure and access to adaptation tools across income groups and regions. The intended and unintended effects of public policies on the temperature–socio-economic outcome nexus. Scientific Awards EAERE Best Doctoral Dissertation Award 2024 Best Paper Award, CESifo/ifo Junior Workshop on Energy and Climate Economics 2025 Teaching & Supervision Since 2024 he lectures on “Topics in Climate Economics” in the BA Economics programme at LMU Munich. He currently supervises three master’s theses (Amrei Schmidt, Giovanni Remonti, Lucia Nafziger) and one bachelor thesis (Johannes Kranz) as principal advisor.

• Financial Modelling
• Institutional Performance
• Regulatory Policy
• +4 more

Catarina Figueira is a Professor of Applied Economics and Policy at Cranfield School of Management, where she serves as Director of Education and Head of the Economics & Banking Group. She previously directed the Cranfield Executive MBA Programme and has held roles at the European Parliament's Directorate General for Research. BSc, MA, PhD in Economics/Business Her research focuses on financial modelling , institutional performance , and the effects of regulatory changes . She explores corporate governance , board diversity , and cosmopolitanism in entrepreneurship . Her work spans housing markets, including house price analysis and mortgage arrears , and she co-developed the DPS rent index for the UK. Recent publications reveal trends in monetary policy impacts , bank ownership dynamics , renewable energy diffusion , and entrepreneurial learning . She has secured academic prizes for her research but no specific awards are named. Her roles at Cranfield include academic governance and strategic leadership in education. Key collaborations include Giorgio Caselli and Joseph Nellis on banking efficiency, Nicholas Theodorakopoulos on entrepreneurship, and David Parker on ownership studies. She contributes to international conferences and advises public/private sectors.

Matthieu WyartView profile

Professor

• Condensed Matter Theory
• Statistical Mechanics
• Quantum Information
• +7 more

Matthieu Wyart is a Full Professor of Theoretical Physics at École polytechnique fédérale de Lausanne (EPFL), holding a position in the School of Basic Sciences within the Institute of Physics. He leads research in the Physics of Complex Systems Laboratory (PCSL) at EPFL, where he investigates fundamental questions at the intersection of condensed matter theory, statistical mechanics, and emerging connections to machine learning. Wyart completed his education at prestigious French institutions, earning his physics degree with Honors from École Polytechnique in Paris in 2001, followed by a Diploma of Advanced Studies in Theoretical Physics with highest Honors from École Normale Supérieure, Paris in 2002. He obtained his doctoral degree in Theoretical Physics and Finance from SPEC, CEA Saclay, Paris in 2006 with a thesis on electronic markets. His academic journey included postdoctoral positions at Harvard University, Janelia Farm, and Princeton University before joining New York University as an Assistant Professor in 2010, where he was promoted to Associate Professor in 2014. He moved to EPFL in July 2015 as an Associate Professor of Theoretical Physics and was promoted to Full Professor in April 2024. His research spans multiple domains including condensed matter theory, statistical mechanics, quantum information, and biophysics, with particular focus on disordered systems, glass transitions, amorphous solids, and the emerging connections between physical systems and machine learning architectures. Wyart's work often reveals deep theoretical connections between seemingly disparate fields, such as demonstrating how principles governing amorphous materials relate to the behavior of neural networks. His recent publications explore hierarchical structures in data, diffusion models, learning curves for compositional data, and the physics of creep in disordered media. Through his laboratory (PCSL), Wyart fosters interdisciplinary research that bridges traditional physics with contemporary challenges in machine learning and complex systems. His work has established important theoretical frameworks for understanding the glass transition, jamming phenomena, and the geometric principles underlying both physical and artificial learning systems.

Michel BesserveView profile

Professor

• Causal Machine Learning
• Artificial Intelligence
• Complex Systems
• +3 more

Michel Besserve is a Full Professor in the Department of Empirical Inference at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. His research bridges artificial intelligence, causal inference, and neuroscience to develop trustworthy and interpretable AI systems for understanding complex phenomena in artificial, physical, and socioeconomic systems. Dr. Besserve completed his PhD dissertation titled Analyse de la dynamique neuronale pour les Interfaces Cerveau-Machine : un retour aux sources at Université Paris-Sud 11 in November 2007. His academic journey has led him to become a leading researcher in causal machine learning, collaborating extensively with Bernhard Schölkopf and other prominent scientists in neuroscience and AI. Professor Besserve's research centers on causal machine learning, with a focus on understanding and anticipating changes in complex systems. He investigates principles like the Independence of Causal Mechanisms (ICM) to improve causal model identifiability and develop more robust AI. His work spans theoretical foundations of causal inference to practical applications in neuroscience, brain function analysis, and socioeconomic systems. He has made significant contributions to understanding brain networks through causal inference and machine learning, with publications in major journals including Nature, PLOS Biology, and Neuron. His publication record reveals a clear trajectory from theoretical causal inference toward developing frameworks for real-world applications. Recent work focuses on building Causal Computational Models (CCMs) that integrate data, domain knowledge, and causal structure to improve robustness and interpretability of complex system models. His research shows increasing integration of causal machine learning with applications to neuroscience and socioeconomic systems, particularly in developing causal AI that can address real-world complexity while producing interpretable outcomes for decision makers. Through his leadership in the Department of Empirical Inference, Professor Besserve has established a research program that bridges theoretical machine learning with practical applications in neuroscience and complex systems. His team develops novel causal machine learning tools that uncover internal structure and transformations of complex systems, with potential applications ranging from brain function analysis to sustainable economic modeling.

Stavros AvramidisView profile

Professor

• Wood-water relations
• Sorption thermodynamics
• Fluid flow in wood
• +8 more

Dr. Stavros Avramidis is a Professor and Head of the Department of Wood Science at the University of British Columbia's Faculty of Forestry. His research focuses on advanced wood physics and drying technologies, integrating computational modeling, spectroscopic analysis, and machine learning applications. Wood-water relations and sorption thermodynamics Fluid flow and heat transfer mechanisms Fractal modeling of nano-pore networks Radio frequency vacuum drying optimization Machine learning for wood property prediction Recent publications demonstrate his leadership in applying data science to wood processing challenges, with emphasis on thermal modification, moisture dynamics, and multispectral identification. He actively supervises graduate research through thesis programs in Forestry (MSc, MASc, PhD) while collaborating on interdisciplinary projects related to wood technology and sustainability. Contact: stavros.avramidis@ubc.ca

• Economics
• Post-Keynesian Economics
• Sraffian Economics
• +2 more

Neil Hart is an Honorary Senior Lecturer at UNSW Canberra, affiliated with the School of Business. His academic work focuses on economic theory and policy. Affiliation: UNSW Canberra, School of Business Hart’s research spans Post-Keynesian Economics, Sraffian Economics, and Evolutionary Economics, with a particular interest in integrating equilibrium and evolutionary frameworks. His work also addresses corporate tax reform and the historical development of economic thought. Hart’s publications highlight trends in Post-Keynesian theory, Marshallian economics, and pluralism in economic analysis. He has collaborated extensively with scholars like Peter Kriesler and Jürgen Harth.

• Macroeconomics
• Monetary Economics
• International Economics

Gaetano Antinolfi is Professor of Economics at Washington University in St. Louis, serving as Dean's Fellow for Budget and Resource Planning and Admissions Officer within the Department of Economics. His academic career spans over two decades with continuous faculty appointments. His educational background includes: PhD in Economics, Cornell University, 1997 Professor Antinolfi's research focuses on macroeconomic theory, monetary policy mechanisms, and international financial systems. His work investigates central banking as lender of last resort, equilibrium financial structures, dollarization phenomena, and external crisis dynamics. He employs both theoretical modeling and empirical analysis to explore how monetary policy affects financial intermediation, inflation thresholds, and real economic activity across institutional frameworks. His 2007 publications reveal consistent focus on monetary transmission channels and international spillovers, with articles appearing in the Journal of Monetary Economics, Federal Reserve Bank of St. Louis Review, and Canadian Journal of Economics. These works demonstrate methodological rigor in connecting theoretical constructs to real-world economic phenomena, particularly regarding currency substitution and establishment-level responses to inflation. Major recognitions include: Greek Society Faculty Appreciation Award (Fall 2003) Special Recognition from Graduate Student Senate (March 2003) Lilly Fellowship at Washington University (Spring 1998) Sage Graduate Fellowship from Cornell University (1992-93, 1995-96) Italian Student Foundation Fellowship (1993-94) Professor Antinolfi advises graduate students in economics and has secured research funding through competitive fellowships. His teaching portfolio covers advanced macroeconomic theory and open-economy macroeconomics across undergraduate and graduate levels, with particular emphasis on monetary policy applications and international financial systems.

• Chemical Engineering
• Thermodynamics
• Process Simulation
• +3 more

Tore Haug-Warberg is an Associate Professor in Thermodynamics at the Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU). His career spans academic research, industrial collaboration, and educational outreach. He has contributed extensively to thermodynamic modeling, chemical process simulation, and CO 2 capture technologies. His research focuses on generalized equilibrium calculations , object-oriented programming (e.g., Ruby/Julia) for thermodynamic models, and CO 2 -amine interactions . Recent work extends to geothermal scaling and non-ideal gas systems in reactor design. Key trends in his publications include integrating thermodynamic theory with computational methods, optimizing chemical reaction equilibrium in industrial processes, and advancing equation-of-state models (e.g., SPUNG EoS) for environmental applications. Scientific awards: No specific honors mentioned in the provided text. Advising and grants: No direct information about students or research grants is provided. His industrial experience includes roles at Institute of Energy Technology, Norwegian Defence Office, Norsk Hydro, and Yara International.

Lee Hsiang LiowView profile

Professor

• Paleobiology
• Macroevolution
• Evolutionary Biology
• +4 more

Lee Hsiang Liow is a Professor at the Natural History Museum of the University of Oslo, Norway, where he conducts research in paleobiology and macroevolution. He co-leads the Evolution and Paleobiology (EPA) group and previously ran the Bryozoan Lab for Ecology, Evolution & Development (BLEED). Liow is also one of five Principal Investigators at the Centre for Planetary Habitability (PHAB). His research focuses on understanding how ecological and evolutionary processes on generational time scales produce macroevolutionary patterns observable in the fossil record. Liow specializes in using bryozoans as model organisms to study long-term evolutionary phenomena, including skeletal mineralogy, competitive interactions in fossil communities, and the relationship between microevolutionary processes and macroevolutionary patterns. His work integrates quantitative methods with paleontological data to address fundamental questions in evolutionary biology. Analysis of Liow's recent publications (2023-2025) reveals a strong focus on bridging micro- and macroevolution, with research spanning paleobiology, evolutionary theory, statistical methodology, and climate change impacts. His work frequently appears in top-tier journals including Science, PNAS, Nature Ecology & Evolution, and Paleobiology, demonstrating his significant contributions to understanding evolutionary processes across deep time. Schuchert Award of the Paleontological Society (2020) Liow actively collaborates with researchers worldwide, as evidenced by his extensive co-authorship network. His research projects include Abiota, Biota, Constraints in Macroevolutionary Processes; Digitization of Norwegian Bryozoa (NorDigBryo); Dissecting the paradox of stasis in evolutionary biology (ROCKS PARADOX); InvertOmics; and SELECT – Fossil temporal dynamics of phenotypic selection & life history evolution. His work continues to advance our understanding of evolutionary processes through innovative approaches to analyzing the fossil record.

Daniel ValesinView profile

Associate Professor

• Interacting Particle Systems
• Percolation Theory
• Random Graphs

Daniel Valesin is an Associate Professor of Mathematics at the Johann Bernoulli Institute, University of Groningen, specializing in Interacting Particle Systems, Percolation Theory, and Random Graphs. His work bridges probability theory and statistical mechanics with applications in network science and epidemic modeling. His academic journey includes: B.Sc. from Fundação Getulio Vargas, Brazil (2000-2004) M.Sc. from Instituto de Matemática Pura e Aplicada, Brazil (2005-2007) Ph.D. from Ecole Polytechnique Fédérale de Lausanne, Switzerland (2007-2011) Post-doctoral fellowship at University of British Columbia, Canada (2011-2014) Valesin's research centers on stochastic processes on graphs , with particular emphasis on phase transitions in contact processes, percolation models, and voter dynamics. His theoretical frameworks address metastability, extinction times, and spatial correlations in complex networks, contributing to fundamental understanding of epidemic spread and critical phenomena. Analysis of his 15 most recent publications reveals consistent focus on contact process dynamics across diverse network structures (random graphs, trees, lattices) and percolation models with long-range interactions. Key trends include rigorous asymptotic analysis, metastability characterization, and exploration of how network topology influences phase transitions. His notable recognitions include: NWO Top Module 2 Grant for epidemic modeling on dynamic networks University of Groningen's Mathematics Teacher of the Year (2014-2015) Canadian Government Post-doctoral Fellowship (2011-2014) Valesin actively mentors doctoral researchers including Réka Szabó, Pedro Luis Barrios Pantoja (co-supervised with Milton Jara), Eric Ossami Endo (completed 2018), and Gabriel Leite Baptista da Silva. His NWO-funded project exemplifies his commitment to translating theoretical advances into network epidemic insights. Collaborations span an international network including Aernout van Enter, Thomas Mountford, and Jean-Christophe Mourrat.

Nicolas DrouhinView profile

Professor

• Intertemporal Choice
• Industrial Organization
• Macroeconomics
• +12 more

Nicolas Drouhin is a Professor of Economics at the University of Caen Normandy and a researcher at the CREM laboratory (UMR CNRS 6211) . He focuses on Intertemporal Choice Theory and its applications across Macroeconomics, Microeconomics, and Management. His work particularly addresses Uncertain Lifetime , Life Cycle Theory , Social Security and Retirement Systems , and Time Consistency of Choices . In Industrial Organization, he develops models for Price Competition with Soft Capacity Constraints . 2022: Chamberlinian competition with free entry 2020: Non-stationary utility and time consistency 2020: General price competition with capacity limits 2015: Rank-dependent utility under uncertain lifespan 2014: Tacit collusion in price competition 2009: Time consistency in hyperbolic discounting 2007: Intertemporal psychological laws 2003: HIV/AIDS and economic growth 2001: Lifetime uncertainty and time preferences 2001: Mortality inequality and retirement systems His research integrates Mathematical Economics , Behavioral Economics , and Industrial Organization to analyze economic agents' decision-making with future consequences. He teaches Macroeconomics and Microeconomics using an integrated approach, covering topics like Economic Modeling and Game Theory. Recent publications focus on price competition dynamics (with Marie-Laure Cabon-Dhersin) and non-stationary utility functions for time-consistent decision-making. His work bridges theoretical economics with practical applications in pension policy and market structure analysis. At the institutional level, Drouhin was elected to the National Council of Universities (CNU-5th section) (2003-2007; 2011-2015) and has advocated for university recruitment quality through a charter of good practices.

Matthias T. AgneView profile

Assistant Professor

• Thermodynamics
• Energy Materials
• Thermal Transport
• +5 more

Matthias T. Agne is an Assistant Professor of Chemistry and Biochemistry at the University of Oregon (UO), affiliated with the Materials Science Institute and the Oregon Center for Electrochemistry. He holds a B.S./M.S. from Drexel University (2015), a Ph.D. from Northwestern University (2020), and completed an Alexander von Humboldt Postdoctoral Fellowship at the University of Münster (2020–2023). His lab focuses on energy and environmental materials, combining theoretical, computational, and experimental approaches to study thermodynamic principles and transport phenomena in solids. Research interests include thermal/electronic/ionic transport in battery materials, thermoelectrics, and superconductors, with emphasis on atomic vibrational dynamics and interfacial stability. The Agne Lab actively recruits students at all academic levels and collaborates across disciplines, such as the 'Sounds of Solids' project with the School of Music and Dance. Key achievements include pioneering work on lattice softening, thermal conductivity reduction, and developing predictive models for solid-state materials. His team has published influential papers on thermoelectric efficiency, defect engineering, and material stability, with recent work highlighted in Science Advances , Advanced Materials , and Energy & Environmental Science . Awards include the Humboldt Fellowship (2020–2023). The lab is part of interdisciplinary networks at UO, emphasizing sustainable energy solutions and next-generation technologies. Students supervised include Ph.D. candidates Zöe Johnson, Elana Cope, and Alex Dillard, as well as undergraduate researchers Alicia Lancaster and Matthew Confer.

Hongwei LongView profile

Professor

• Stochastic Analysis
• Mathematical Finance
• Parameter Estimation
• +2 more

Hongwei Long is a Professor and Graduate Director in the Department of Mathematics and Statistics at Florida Atlantic University. He holds a Ph.D. in Mathematics from the University of Warwick (1998) and specializes in stochastic systems, mathematical finance, and nonlinear filtering theory. His research bridges theoretical mathematics with applied domains like financial modeling and statistical inference for complex systems. Research Focus: Develops computational methods for stochastic differential equations, parameter estimation techniques for financial Lévy processes, and filtering applications in economics and engineering. His work frequently integrates heavy-tailed distributions and jump processes to model real-world volatility. Publications: Recent articles explore geometric Lévy processes, α-stable Ornstein-Uhlenbeck motions, and optimal control in forex markets, reflecting a consistent emphasis on quantitative finance and statistical methodology.

Chris KeylockView profile

Professor

• Fluid Mechanics
• Turbulence
• Nonlinear Dynamics
• +6 more

Professor Chris Keylock is a Professor of Fluid Mechanics at the University of Leicester. His research focuses on non-linear and complex phenomena, particularly in non-equilibrium turbulence dynamics. Key interests include the role of non-local effects in turbulent flows, synthetic data for null hypothesis testing, and multifractal methods. He has contributed to intermittency science, wavelet techniques, and closure models for computational fluid dynamics. Notable work includes studies on canopy turbulence (with Duke, MIT, and Western Australia) and boundary-layer modulation using Hölder exponents (with Southampton and Melbourne). Educations: MA, MSc, PhD Research emphasizes turbulence structure analysis, velocity gradient tensor dynamics, and applications in fluid mechanics, geomorphology, and hydrology. His work bridges statistical and physics-based perspectives, with interdisciplinary applications in environmental and engineering systems. Scientific Awards: 10th Fluid Dynamics Research Prize (2016) Advising and grants: No explicit mentions of advising students or grants in the text. His research groups and collaborations are active in fluid mechanics and turbulence, with contributions to international conferences and publications. Labs/Teams: Engaged with research groups focused on non-equilibrium turbulence, synthetic data generation, and fluid-structure interactions.