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Giovanni PECCATI is a Full Professor in Mathematics and Head of the Department of Mathematics (DMATH) at the University of Luxembourg’s Faculty of Science, Technology and Medicine. He leads the research group 'Revealing order in randomness' and serves as President of the Luxembourg Mathematical Society. Previously, he held positions at Sorbonne Université (1999–2008) as Assistant Professor and at Université Paris-Nanterre (2008–2010) as Full Professor before joining Luxembourg in 2010. His research focuses on probability theory, stochastic analysis, and mathematical finance, with particular expertise in Malliavin calculus, limit theorems, and random fields. Key contributions include studies on nodal sets of random waves, Poisson functionals, and Stein’s method applications. Prof. Peccati’s awards include the 2018 IMS Fellowship and the 2015 FNR Award for Outstanding Scientific Publication. His work bridges pure mathematics with applications in statistical mechanics and mathematical physics, emphasizing probabilistic structures in geometric and physical systems. He has authored over 100 publications, including the influential book *Wiener Chaos: Moments, Cumulants and Diagrams* (2011), and co-founded the *Stochastic Analysis for Poisson Point Processes* research program. His current projects explore phase transitions in stochastic systems and geometric properties of random fields.

• Probability Theory
• Mathematical Finance
• Stochastic Analysis
• +4 more

Jorge GONCALVES is a Full Professor at the Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, and a Principal Research Associate at the University of Cambridge's Department of Plant Sciences. He holds expertise in computational biology, systems biomedicine, and machine learning applications in healthcare. His roles include leading research on gene regulatory networks, epidemic modeling, and deep brain stimulation technologies. Education: Licenciatura from University of Porto (1993), M.S. and Ph.D. from MIT (1995/2000). Postdoctoral work at MIT and Caltech, followed by academic positions at the University of Cambridge (Lecturer, Reader, Principal Research Associate). Visiting Professorships at the University of Luxembourg and Caltech. Research Interests : Dynamical systems modeling, network inference, biomedical applications of AI, and systems biology. His work spans drug repositioning, early warning signals for disease transitions, and multiomics analysis in immunology. Publications : Focused on interdisciplinary approaches combining machine learning with biological systems. Key themes include computational methods for gene network analysis, epidemic monitoring systems, and AI-driven medical diagnostics. Awards : Not explicitly listed in provided texts. Advising and grants: Extensive collaboration with institutions globally, including leadership in EU-funded projects and industry partnerships. Active in mentoring researchers across computational biology and engineering disciplines. Labs/Teams: Leads LCSB teams focused on systems biomedicine and AI-driven health solutions. Collaborates with the University of Cambridge on plant sciences and robotics initiatives.

• Computational Biology
• Systems Biomedicine
• Machine Learning
• +5 more

Skerdilajda ZANAJ is a Full Professor of Economics at the University of Luxembourg , affiliated with the Faculty of Law, Economics and Finance and the Department of Economics and Management. She earned her PhD in Economics (2008) through a joint doctoral program between CORE, Université Catholique de Louvain, and Università degli Studi di Siena. Research Focus : Public economics, international economics, microeconomic theory, cultural economics, fiscal competition, environmental policy, and gender dynamics. Methodology : Theoretical game theory and empirical microeconometric analysis of panel data. Policy Impact : Contributions to fiscal federalism, migration, and gender equality in academia. Teaching : Microeconomics, Game Theory, Applied General Equilibrium, Economics of Gender, Mathematics for Economists, and International Public Economics. Gender Equality Advocacy : Served as Gender Equality Delegate since 2018, instrumental in adopting the University’s Gender Equality Policy (2021). Recognition : Marie Curie Fellowship Top 5% female economist globally (IDEAS ranking 2025)

• Public Economics
• International Economics
• Microeconomics
• +7 more

Mark Podolskij is a Full Professor in Mathematics and Professor of Statistics and Probability at the University of Luxembourg. He is affiliated with the Department of Mathematics and the Department of Finance within the Faculty of Science, Technology and Medicine. His research focuses on the probabilistic and statistical analysis of stochastic processes and random fields, particularly in high-frequency data analysis and high-dimensional statistics, with applications to economics, finance, and physics. Contact him via mark.podolskij@uni.lu or (+352) 46 66 44 5545. He holds editorial roles and has secured grants for his research. His work bridges theoretical statistics with practical applications in interdisciplinary fields. For more details, visit his personal homepage or contact the university at the provided address.

• Stochastic Processes
• Statistical Analysis
• High-Frequency Data
• +4 more

Zaruhi HAKOBYAN is a Postdoctoral Researcher at the University of Luxembourg, affiliated with the Department of Finance within the Faculty of Law, Economics and Finance. Her research focuses on networks, social media dynamics, information economics, and game theory, examining topics such as populism, polarization, and policy interventions. Contact: zaruhi.hakobyan@uni.lu | Office: BLF, E02 011. Research Interests: Network Economics & Game Theory Social Media Dynamics & Behavioral Modeling Populism & Polarization Mechanisms Information Dissemination in Networks Policy Interventions in Social Systems Key Research Themes: Her work explores how social media platforms influence polarization through network structures, analyzes strategic behavior in Markovian games, and evaluates the role of social planners in coordinating network dynamics. Recent studies address populism's impact without fake news, emphasizing belief biases and homophily effects.

• Network Economics
• Information Economics
• Behavioral Economics
• +3 more

Alexei BIRYUKOV is a Full Professor in Computer Science at the University of Luxembourg's Faculty of Science, Technology and Medicine, specifically within the Department of Computer Science. His research focuses on Cryptology, Cryptanalysis, and Information Security, with interdisciplinary connections to Mathematics and Finance. He maintains affiliations across Belgium, Luxembourg, the USA, and Israel. Office: Maison du Nombre, 6 avenue de la Fonte, L-4364 Esch-sur-Alzette Contact: (+352) 46 66 44 6793 | alex.biryukov@uni.lu His expertise spans both theoretical and applied aspects of cryptography, including system security analysis and algorithmic advancements. Research interests integrate computational methods with real-world applications in digital security frameworks. No specific scientific awards or grants are listed in the provided text, though his publications can be accessed via ORBilu. Advising records for students remain undisclosed in the current data.

• Cryptography
• Cryptanalysis
• Information Security
• +3 more

Prof. Vincent Anesi is a Full Professor of Applied Economics at the University of Luxembourg's Faculty of Law, Economics and Finance (FDEF), Department of Economics and Management. He joined in 2020 after serving as a Professor and Deputy Director of Research at the University of Nottingham. His research focuses on how political institutions shape economic policies, particularly taxation, redistribution, environmental regulation, and intergovernmental relations. He is affiliated with CESifo Group Munich. Research Interests : Political Economy of Institutions Collective Decision-Making Processes Dynamic Bargaining and Veto Power Analysis Policy Experimentation and Redistribution Federalism and International Organizations Recent Contributions : His work bridges game theory and political institutions, analyzing how institutional design impacts policy outcomes. Recent articles explore collective deliberation, veto rights in committees, and coercive trade policies. Upcoming work includes analysis of morality policy dynamics and agenda manipulation in voting systems. Leadership Roles : Starting September 2023, he will lead the Department of Economics and Management. Previously held roles include Head of Recruitment at Nottingham and leadership in research strategy. Affiliations : Regular contributor to leading journals like the American Economic Journal and Review of Economic Studies. Active in academic networks including CESifo and international conferences.

• Political Economy
• Public Economics
• Institutional Design
• +5 more