Nicola Carcano is a Lecturer at the Faculty of Economics, Università della Svizzera italiana (USI), where he teaches Structured Products. He is also a seasoned financial professional currently serving as Head of Asset Management at Phosphor Asset Management SA, indicating a strong bridge between academic instruction and industry leadership in finance. His educational background includes a degree in Economics from LUISS University in Rome, an MBA in Finance from New York University, and a PhD in Financial Markets Theory from the University of St. Gallen. The Fulbright Scholarship supported his MBA studies, highlighting early academic excellence. His research and teaching focus on fixed income finance and yield curve risk management models. Given his industry leadership roles at institutions such as UBS Investment Banking, Mercer, and Bank Vontobel, his expertise brings practical depth to academic finance. His work emphasizes quantitative and strategic aspects of asset and portfolio management for high-net-worth clients. While no publications are listed in the provided text, his research areas suggest contributions to financial modeling, risk assessment in fixed income markets, and structured investment products. Fulbright Scholarship Nicola Carcano advises through teaching rather than formal student supervision, as no advisees are listed. His career reflects a pattern of leadership in funded financial initiatives, particularly in portfolio and asset management, though specific grant details are not provided. His dual role in academia and executive management suggests a focus on applied research and industry-relevant curriculum development. He is associated with the academic environment at USI's Lugano campus, particularly the Blue Building (Office PC-006), and is available for contact every Wednesday before or after lectures, indicating active engagement with students and the academic community.
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Anat R. Admati is the George G.C. Parker Professor of Finance and Economics at Stanford University Graduate School of Business, where she directs the Corporations and Society Initiative and serves as a senior fellow at Stanford Institute for Economic Policy Research. Her work spans corporate governance , banking regulation , and financial policy , emphasizing trustworthy institutions and systemic reform . Education: B.Sc. in Mathematics and Economics from Hebrew University Ph.D. in Economics from Yale University Honorary doctorate from University of Zurich Admati's research focuses on financial markets, corporate governance, and regulatory frameworks, with a particular emphasis on bank capital regulation and equity requirements . Her work critiques systemic risks in banking and advocates for transparency and accountability in financial systems. Recent publications highlight trends in corporate misconduct , capital adequacy , and financial contracting . Notably, her co-authored book The Bankers’ New Clothes and follow-up articles like The Parade of the Bankers’ New Clothes Continues (2024) systematically challenge banking industry claims and propose regulatory improvements. Scientific recognition includes: Named Time Magazine's 100 Most Influential People (2014) Included in Foreign Policy Magazine's 100 Global Thinkers (2014) Elected Fellow of the Econometric Society Admati has served on editorial boards, advisory committees (FDIC, CFTC), and as a visiting scholar at the International Monetary Fund. Her advocacy bridges academic rigor with real-world policy impact, particularly in financial regulation and corporate accountability .
- Corporate Governance
- Banking
- Financial Regulation
- +۷ مورد دیگر
Academic Profile: Damir Filipovic is a Full Professor and the Swissquote Chair in Quantitative Finance at the College of Management of Technology (CDM) of École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He previously held academic positions at the University of Vienna, University of Munich, and Princeton University, and served as Head of the Vienna Institute of Finance. Research Focus: Quantitative finance, risk management, stochastic processes, term structure modeling, volatility risk, and machine learning applications in financial markets. Industry Collaboration: Co-developed the Swiss Solvency Test for insurance capital requirements while consulting for the Swiss Federal Office of Private Insurance. Publications: Contributed extensively to journals like Journal of Financial Economics, Mathematical Finance, and Annals of Applied Probability, with a textbook on Term-Structure Models. Academic Service: Editorial board member of multiple journals and organizer of advanced workshops on systemic risk and financial technology. Recent Research: His work emphasizes machine learning for portfolio risk management, kernel-based yield curve estimation, and robust stochastic modeling. Keynote speaker at international conferences on finance and insurance mathematics, with over 15 recent publications in 2023-2025 addressing high-dimensional financial problems, neural control systems, and causal inference in market data. Education: Ph.D. in Mathematics from ETH Zurich (2000). Graduate of ETH Zurich and University of Vienna. Teaching & Mentorship: Supervises current and former EPFL Ph.D. students in quantitative finance, including Nicolas Camenzind, Joshua Hayes, Andrea Ruglioni, and ten others. Former students like Damien Ackerer and Lotfi Boudabsa now lead research in risk management. Labs & Programs: Directs EPFL's Finance and Technology Programme, leads the Computational Finance Group (CSF) at EPFL, and contributes to Swiss Finance Institute initiatives. Scientific Leadership: Served on EPFL Committee of Academic Evaluation and Doctoral Program Finance committee.
Prof. Dr. Virginia Ruiz-Villanueva is a Professor and leader of the Geomorphology Unit at the Institute of Geography, University of Bern. Her research focuses on river processes, particularly large wood dynamics, flood hazards, and sediment transport in mountainous regions. She holds a prominent role in international collaborations, addressing climate change impacts and river management challenges. Key areas of expertise include geomorphology, environmental hazards, and interdisciplinary approaches to understanding river systems. Her work integrates field observations, numerical modeling, and remote sensing to study processes such as large wood accumulation in rivers, flood risk assessment, and the influence of human activities on hydrological systems. She has contributed to projects across Europe, South America, and the Western United States, emphasizing practical applications for disaster risk reduction and sustainable river management. Recent research highlights include exploring historical changes in mountain river hydrodynamics, quantifying large wood supply in Swiss catchments, and analyzing cascading hazards in Chilean river systems. Her publications frequently appear in high-impact journals such as Earth Surface Processes and Landforms and Science of the Total Environment .
- Geomorphology
- Hydrology
- Natural Hazards
- +۳ مورد دیگر
Dr. E. Keith Smith is a Lecturer at ETH Zürich's Department of Humanities, Social and Political Sciences, affiliated with the Center for Comparative and International Studies (CIS). His research focuses on sociopolitical dimensions of climate change, particularly climate change attitudes, behaviors, and social tipping processes. He holds PhD from Colorado State University and master’s degrees from KU Leuven and University of British Columbia. His work explores why individuals engage—or disengage—in climate action, emphasizing factors like political polarization, religious beliefs (especially evangelical Protestantism), and trust in institutions. Smith's research employs quantitative methodologies and addresses challenges in environmental policy implementation, such as equitable air quality monitoring and global supply chain regulations. He contributed to the DominoES project on social tipping dynamics and has published in journals like Global Environmental Change and Nature Scientific Reports . His recent studies analyze public support for climate policies across Europe and the U.S., emphasizing how procedural inclusiveness and transparency can build trust in environmental governance. He also explores mobility policies in Switzerland, including road pricing and public transport expansion, using experimental methods to gauge citizen preferences. Smith’s work bridges environmental science and social science, aiming to identify pathways for transformative societal shifts toward climate action. His current projects focus on social tipping mechanisms and the interplay between climate risk anticipation and policy demand.
Ke Xuمشاهده پروفایل
استادیار
Ke Xu is an Assistant Professor at the Department of Finance, Faculty of Business and Economics, University of Victoria. His research bridges finance, econometrics, and cryptocurrency, focusing on market microstructure, high-frequency trading, and price discovery mechanisms. He has extensively studied Bitcoin ETFs, fractional cointegration models, and machine learning applications in financial markets. Key Research Areas: Market Microstructure High-Frequency Trading Cryptocurrency Dynamics Price Discovery Machine Learning in Finance Financial Econometrics Article Trends: Xu’s work spans empirical analyses of Bitcoin ETFs, volatility modeling (e.g., affine GARCH), and algorithmic trading strategies. His recent papers explore mini flash crashes using machine learning, regulatory impacts on market quality, and sustainable crypto portfolios.
- Finance
- Financial Economics
- Quantitative Finance
- +۳ مورد دیگر
Maren Boeseمشاهده پروفایل
پژوهشگر ارشد
Dr. Maren Boese is a Senior Research Scientist at the Swiss Seismological Service (SED) and Seismology and Geodynamics (SEG) groups at ETH Zurich. Her expertise spans seismology, earthquake early warning systems, and planetary seismology. She leads projects like the CISN ShakeAlert system for California and contributed to NASA's InSight mission to Mars. She earned her Ph.D. from Karlsruhe Institute of Technology (2006) and a Master's from Kiel University (2002). Research Focus: Real-time seismic event detection, finite-fault rupture analysis, ground-motion simulation, and Marsquake seismology. Key contributions include developing the FinDer algorithm for the ShakeAlert system and advancing early warning methodologies in Central America and Switzerland. Awards: 2011: Outstanding Publication Award (Luxembourg National Research Fund) 2010: Ausgewählter Ort im Land der Ideen (BMBF Project EWS Transport) 2006: European IST Prize (Early Warning for Strong Earthquakes) Grants & Leadership: Led the CISN ShakeAlert team (2009–2014), managed the German CRC 461 project, and coordinated international collaborations like the InSight Marsquake Service. Labs/Teams: Swiss Seismological Service (ETH Zurich), NASA InSight Mission, and the CHEAP smartphone network project in Chile.
Konstantin Sokolov is a Professor at the University of Memphis, affiliated with the Fogelman College of Business and Economics. His research bridges finance, technology, and market design, focusing on liquidity dynamics, high-frequency trading, and blockchain systems. University of Memphis - Fogelman College of Business and Economics Collaborations with institutions across the U.S. and globally His work explores market microstructure , cryptocurrency , and cybersecurity , with recent studies on ransomware impacts, gamification in finance, and blockchain governance. Articles show a trend toward integrating machine learning and network theory into financial systems. Key themes include: Liquidity and volatility in algorithmic trading environments Blockchain congestion and cybersecurity externalities Regulatory implications of fast trading technologies Behavioral responses to gamified financial platforms
Dietmar Maringer is Professor of Computational Economics and Finance at the University of Basel's Faculty of Business and Economics (WWZ), where he leads research at the intersection of finance, computational methods, and artificial intelligence. His work focuses on risk management, portfolio optimization, algorithmic trading, and financial simulations. His research interests span computational finance, artificial intelligence in finance, data analysis, risk management, portfolio optimization, algorithmic and high-frequency trading, financial networks, complex adaptive systems, and market simulations. He applies advanced computational and heuristic optimization techniques to solve real-world financial problems, contributing significantly to quantitative finance and financial engineering. His recent publications demonstrate a consistent focus on applying evolutionary algorithms, reinforcement learning, and numerical optimization to portfolio management, market impact modeling, and financial forecasting. The research integrates econometrics, machine learning, and financial theory, emphasizing practical implementation and robust risk-aware decision-making. Several best-paper awards Maringer has served as Chair of the Portfolio Optimization Section of the IEEE Computational Economics and Finance Technical Committee from 2008 to 2018 and is frequently involved in organizing and program committees of international conferences. He has advised or collaborated with numerous researchers, though specific student names are not listed. His research has been supported through academic affiliations and likely institutional or conference-based grants, though explicit funding sources are not detailed. He is affiliated with several research groups, including IEEE Computational Economics and Finance TC, COMISEF, ERCIM, Centre for Innovative Finance, and the European Financial Management Association, reflecting a broad collaborative network in computational finance and economics.
Prof. Dr. Urs Hilber is the Dean of the School of Life Sciences and Facility Management at ZHAW Zurich University of Applied Sciences. He has held leadership roles such as Head of the ZHAW Sustainable Development Focus and Director of multiple Swiss agricultural research institutions. Current affiliations include Au-Konsortium, Eidgenossenschaft, Fructus, grow Cluster, and ZKSD (President of Board of Directors) Education: PhD and MSc in Biology from University of Basel His research focuses on plant pathology , particularly fungicide resistance mechanisms in pathogens like Botryotinia fuckeliana (gray mold) and Venturia inaequalis (apple scab). He pioneered biolistic transformation techniques for fungal genetic studies and developed resistance monitoring strategies for anilinopyrimidines, phenylpyrroles, and dicarboximides. The 15 most recent publications highlight his work on: Fungal taxonomy (Pseudomonas species) PCR-based resistance diagnostics Integrated disease management Genetic variability in plant pathogens
Ricardo Reis serves as the A. W. Phillips Professor of Economics at the London School of Economics and Political Science (LSE) within the Department of Economics. His academic work spans multiple institutions as he participates in research networks including the National Bureau of Economic Research (NBER), Centre for Economic Policy Research (CEPR), and Columbia University. Reis is a prominent macroeconomist specializing in the intersection of macroeconomics with finance, international economics, and applied econometrics. His research focuses on the dynamics of inflation and its expectations, central bank balance sheets and liquidity programs, sticky information and rational inattention models, automatic fiscal stabilizers, and the internationalization of the Chinese renminbi (RMB). His theoretical contributions include developing the sticky information framework that has become influential in understanding how information dissemination affects economic decisions and policy transmission. His recent publications demonstrate a continued focus on monetary policy challenges, inflation dynamics, and central banking in the post-financial crisis era. Reis frequently contributes to policy discussions through comments on papers presented at NBER conferences and serves as an academic consultant for numerous central banks worldwide. His research combines theoretical innovation with practical policy relevance, particularly in understanding how central banks can maintain price stability amid economic shocks and fiscal challenges. Reis maintains active engagement with policy institutions globally, having served as an academic consultant or lecturer at the Bank of England, Central Bank of Brasil, Federal Reserve Banks (Minneapolis, New York, Richmond), Norges Bank, and the Swiss National Bank. He has also contributed to policy discussions through the Brookings Papers on Economic Activity and various international conferences.
- Macroeconomics
- Inflation Dynamics
- Central Banking
- +۷ مورد دیگر
Prof. Dr. Annette Liesegang serves as a Professor at the Institute of Animal Nutrition and Dietetics within the Vetsuisse Faculty of the University of Zurich. Her research focuses on bone and cartilage physiology, obesity, and clinical nutrition impacts across multiple animal species including ruminants, dogs, reptiles, pigs, and birds. Her primary research interests encompass bone metabolism, mineral nutrition, comparative physiology, and veterinary diagnostics. She specializes in bone marker analysis, bone mineral density measurement via quantitative peripheral computed tomography, and calcium absorption mechanisms using immunohistochemical methods. Her work investigates physiological and nutritional influences on bone resorption/formation dynamics during critical periods like gestation and lactation, with extensive species-specific expertise. Analysis of her 2024-2025 publications reveals dominant research themes in calcium metabolism (particularly in sheep/goats), urolithiasis pathogenesis across species, vitamin D optimization, and clinical dietary interventions for conditions like intestinal malabsorption. Methodological innovations include in-vitro digestion models and UVB-irradiated feed development, reflecting her translational approach from basic bone physiology to practical animal nutrition solutions. Scientific awards: No scientific awards were documented in the provided materials. Prof. Liesegang mentors thesis students and leads collaborative research projects, notably with Prof. Brigitte von Rechenberg on growth plate physiology in foals and lambs. Her work leverages institutional facilities including specialized CT equipment and laboratory infrastructure for biochemical analysis, though specific grant details remain unreported in the source text. The Institute of Animal Nutrition and Dietetics operates dedicated animal research facilities with stables for multiple species and managed sheep/goat herds under veterinary supervision. These resources enable controlled studies on bone metabolism, dietary interventions, and species-specific nutrition, supporting her extensive publication record in veterinary and comparative nutrition science.
- Bone Metabolism
- Mineral Nutrition
- Animal Nutrition
- +۳ مورد دیگر
Nils Andri Bundiمشاهده پروفایل
مدرس ارشد
Dr. Nils Andri Bundi is a Senior Lecturer at the ZHAW School of Engineering, Zurich University of Applied Sciences (ZHAW). His primary research focus includes blockchain technology, decentralized finance (DeFi), quantitative finance, and network theory. He holds a PhD in Financial Engineering from Stevens Institute of Technology (2014–2022). Research interests span financial risk management, big data analytics in finance, and the application of network theory to financial systems. His work emphasizes scalable architectures for financial data analysis and real-time market monitoring. Education: PhD in Financial Engineering at Stevens Institute of Technology Publications highlight contributions to cryptocurrency market analysis, big data-driven risk modeling, and SQL optimization in financial systems. Bundi is a key member of the ZHAW Data Science Laboratory and the DeFi Collective. He has contributed to projects like RENERG2 (renewable energy systems) and Real-time price anomaly detection for market data quality monitoring. His professional activities include advising startups and maintaining active roles in industry networks like the Risk- and Finance-Lab. Bundi also serves as a founder of VESU XYZ and actively engages with DeFiScan_info initiatives.
Jürg Fausch is a Professor at the Lucerne School of Business (HSLU) and the Institute of Financial Services Zug (IFZ), specializing in quantitative macroeconomics, econometrics, and asset pricing. His roles include Project Head within the CC Investments department at IFZ. He holds a PhD in Economics from the Stockholm School of Economics and Stockholm University (2017), focusing on DSGE models, monetary policy, and financial markets. Education: PhD in Economics from Stockholm School of Economics and Stockholm University (2011–2017) MSc in Economics with focus on Financial Market Theory from Universities of Liechtenstein and Skövde (Sweden) His research interests center on macroeconomic policy analysis, financial market dynamics, and the application of machine learning in asset management. Key projects include the IFZ FinTech initiative, Swiss Asset Management Studies, and fund manager selection using machine learning. Recent publications highlight his work on monetary policy spillovers, speculative bubbles' welfare implications, and Swiss asset management trends. Notable contributions include the annual Swiss Asset Management Studies (2020–2024) analyzing sector growth and economic impacts. Achievements: Member of program committees for major finance conferences (2025) Reviewer for journals including Journal of Macroeconomics and Journal of Empirical Finance He actively advises on asset management strategies and has presented at global venues like the Southern Finance Association and German Finance Association conferences. His work bridges theoretical macroeconomics with practical financial market applications, particularly in leveraging data-driven approaches for investment solutions.
Thierry Meyerمشاهده پروفایل
پژوهشگر
Dr. Thierry Meyer is a Researcher at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with the School of Basic Sciences and the Chemical Engineering Institute. He received his MSc (1986) and PhD (1989) in chemical engineering from EPFL and has been a leading figure in polymer reaction engineering and risk management since 1998. Education: MSc in Chemical Engineering, EPFL (1986) PhD in Chemical Engineering, EPFL (1989) His research focuses on polymerization reactions in supercritical fluids, thermal stability analysis, and safety management in academic laboratories. Recent work emphasizes nanomaterials safety, risk assessment frameworks, and climate-related hazards. Roles & Expertise: Chairman of the European Working Party on Polymer Reaction Engineering (2001–2006) Adviser for the International Chamber of Commerce (ICC) on risk assessment Member of editorial boards for journals like Chemical Engineering Research and Design Active in occupational health and safety for EPFL’s School of Basic Sciences