Find Academic Supervisors

Gabriele VillariniView profile

Professor

• Flood Hydrology
• Extreme Events
• Hydroclimatology
• +3 more

Professor Gabriele Villarini is a faculty member at Princeton University, holding dual appointments in the Department of Civil and Environmental Engineering and the High Meadows Environmental Institute. He specializes in flood hydrology, extreme events, and climate change impacts, with a focus on integrating hydroclimatological data with climate projections to assess flood risk. His work bridges theoretical advancements in statistical hydrology with practical applications for disaster resilience. Education: Executive MBA (University of Iowa, 2018) PhD in Civil and Environmental Engineering (University of Iowa, 2008) Bachelor of Science in Civil Engineering (University of Rome La Sapienza, 2003) Research Interests: Villarini’s research emphasizes process-driven flood frequency analysis, compound flooding, and climate model applications. He pioneered methods to distinguish flood-generating mechanisms (e.g., rain vs. snowmelt) to improve projections under climate change. His work addresses societal challenges like coastal resilience, urbanization impacts on rainfall extremes, and tropical cyclone dynamics. Grants & Projects: He leads over 40 funded projects, including DoD climate resilience initiatives, NOAA flood modeling frameworks, and collaborations with agencies like the U.S. Army Corps of Engineers. Recent efforts include developing probabilistic tropical cyclone rainfall generators and hazard assessment tools for coastal cities. Awards: James B. Macelwane Medal (AGU, 2016) Hydrological Sciences Award (EGU, 2013) AGU Fellow (2016) Labs/Teams: Villarini’s group collaborates with the High Meadows Environmental Institute and the Cooperative Institute for Modeling the Earth System (CIMES). His team develops open-source tools like the SHiELD modeling framework for flood inundation analysis.

Matthew BaronView profile

Professor

• Banking Crises
• Financial Fragility
• Macroeconomics
• +6 more

Matthew Baron is a Professor at the Samuel Curtis Johnson Graduate School of Management, Cornell University. His primary research focuses on banking crises, financial fragility, and policy development to mitigate systemic risks. He holds a PhD in Economics from Princeton University and a BS in Mathematics from Yale University. His research explores investor beliefs, bank insolvency dynamics, implicit creditor guarantees, and the long-term impacts of banking crises. He has published in top journals like the Quarterly Journal of Economics and Review of Financial Studies. His work is funded by grants from institutions such as the Institute for New Economic Thinking (INET) and the Cornell Center for Social Sciences. Teaching responsibilities include MBA courses in Investment and Portfolio Management and Behavioral Finance, as well as contributions to the Cornell-Tsinghua Finance MBA and PhD programs. He advises PhD students and postdoctoral fellows, many of whom secure roles at leading academic institutions and central banks. Baron is affiliated with the Quantitative Financial History Lab at Cornell, which specializes in historical financial crisis analysis. His current projects include studying credit booms, disaster risk measurement, and the survival dynamics of large banks during crises. He has served as a visiting researcher at the Federal Reserve Board, Federal Reserve Bank of New York, and Commodity Futures Trading Commission, enhancing his engagement with policymaking and regulatory frameworks.

• Credit Risk
• Portfolio Optimization
• Risk Management
• +5 more

Marc Gürtler is a Professor at the University of Braunschweig - Institute of Technology , Department of Finance. He is an active researcher in finance, risk management, and credit modeling, with a prolific publication record and significant academic impact. Research Interests: Credit risk modeling and forecasting Portfolio optimization and asset allocation Machine learning applications in finance Catastrophe bonds and alternative risk transfer Consumer credit and household finance Labor economics and career dynamics His research spans theoretical modeling and empirical validation, with applications in banking regulation, investment strategy, and financial policy. He has co-authored with leading scholars and published in top-tier journals such as the Journal of Banking & Finance , European Journal of Finance , and Journal of Risk and Insurance . Collaborations and Impact: Marc Gürtler has collaborated extensively with researchers from RWTH Aachen, University of Duisburg-Essen, University of Cologne, and international institutions. His work on credit risk, portfolio optimization, and machine learning has been widely cited and downloaded, reflecting its relevance to both academia and industry.

Dipak DeyView profile

Professor

• Bayesian analysis
• Bioinformatics
• Biostatistics
• +8 more

Dipak Dey is a Professor in the Department of Statistics at the University of Connecticut . His work bridges theoretical and applied statistics, with a focus on Bayesian methodologies and computational statistics. Affiliations : University of Connecticut, Department of Statistics Contact : dipak.dey@uconn.edu , Office: AUST 327, Phone: (860) 486-4755 His research interests span Bayesian analysis , Biostatistics , Computational statistics , Statistical genetics , and Spatio-temporal modeling . He has pioneered techniques in spatial curvature processes and scalable Bayesian algorithms for large datasets. Recent publications highlight his contributions to Bayesian spatial modeling (blockNNGP, curvature processes), survival analysis (skew-t distributions, cure rate models), and computational statistics (variable selection in Gaussian processes, fast inference algorithms). Applications include insurance data , epidemiology , and environmental statistics . Scientific Awards : Board of Trustees Distinguished Professor (University of Connecticut) He actively collaborates on interdisciplinary projects and mentors researchers in advanced statistical methodologies for complex data structures.

• Risk Analysis
• Actuarial Science
• Insurance Economics
• +3 more

Montserrat Guillén Estany is a Professor of Quantitative Methods for Economics and Business at the University of Barcelona's Faculty of Economics and Business since 2001. She serves as Vice-Secretary of the Governing Board at the Royal Academy of Economic and Financial Sciences (RACEF) and directs the consolidated Risk in Finance and Insurance research center (UBriskcenter), which comprises 25 permanent researchers and 25 international affiliates. She also holds an Honorary Visiting Professorship at City, University of London. Bachelor of Science in Mathematics (Mathematical Statistics), University of Barcelona (1987) PhD in Economics and Business Administration, University of Barcelona (1992) Master's in Data Analysis, University of Essex, UK Visiting researcher: University of Texas at Austin, University of Paris II, University of California-Berkeley, University of Cambridge Her research focuses on risk analysis and actuarial science , particularly developing statistical methods for insurance applications. She pioneered work in operational risk modeling and quantitative approaches to insurance economics, establishing herself as the top-cited woman in Actuarial Sciences and second in Insurance. Her work bridges theoretical statistics with practical insurance industry applications, emphasizing computational methods and real-world data analysis. The 15 most recent publications demonstrate consistent leadership in actuarial methodology innovation , with increasing integration of machine learning techniques since 2020. Her research spans cyber risk, climate risk, longevity modeling, and regulatory compliance, maintaining strong connections to industry needs while advancing theoretical frameworks. Recent work shows particular emphasis on non-traditional data sources and computational approaches to complex risk scenarios. ICREA Academia distinction (2012, 2019) - only social sciences researcher to receive twice Casualty Actuarial Society honor (USA) Julio Castelo International Insurance Prize Honorary member, College of Actuaries of Catalonia Professor Guillén has supervised 17 doctoral theses at the University of Barcelona and co-supervised two internationally. She serves on numerous doctoral committees globally and participates in professor selection committees across Europe and North America. Her research has secured funding from Mapfre Foundation, BBVA Foundation, European Commission H2020, and other major institutions. She leads the UB-Zurich Chair of Insurance and UB-Mutualidad de la Abogacía Chair, focusing on actuarial innovation and aging economics research. As director of UBriskcenter, she leads a multidisciplinary team of 50 researchers conducting cutting-edge work in financial and insurance risk. The center maintains strong industry partnerships and international academic collaborations, particularly through the European Group of Risk and Insurance Economists which she previously presided over.

Mohammad NadimiView profile

Assistant Professor

• Photonics and Spectroscopy
• Agri-Food Quality Monitoring
• Machine Learning and Artificial Intelligence
• +7 more

Mohammad Nadimi is an Assistant Professor in the Department of Biosystems Engineering at the Price Faculty of Engineering, University of Manitoba. He holds a PhD in Electrical Engineering from the same institution and has a multidisciplinary research profile spanning photonics, food quality, and data analytics. His work focuses on integrating advanced optical techniques with machine learning to improve agri-food production and storage systems. Education: PhD in Electrical Engineering, University of Manitoba, 2018 M.Sc. in Electrical Engineering, Iran University of Science and Technology, 2011 Dr. Nadimi's research centers on real-time quality monitoring of agri-food products using electromagnetic imaging, spectroscopy, and smart sensing technologies. He applies machine learning and AI to optimize data analysis in large-scale agricultural datasets. His work also includes microstructural analysis of food materials and laser-based biostimulation to enhance crop viability. These efforts aim to reduce post-harvest losses and improve food safety and sustainability. The selected publications reflect a strong trend in applying photonics and artificial intelligence to food quality assurance. Key areas include hyperspectral imaging, NIR spectroscopy, terahertz sensing, and deep learning models for contamination detection, spoilage prediction, and structural analysis of grains and legumes. His work bridges engineering innovation with practical agricultural challenges. Scientific Service: Senior Editor, Measurement: Food (Elsevier) Dr. Nadimi has published over 40 peer-reviewed journal articles and 20 conference papers. He is actively involved in graduate education and is currently seeking new students for research projects. His industry experience as a Senior Data Analyst at Wawanesa Insurance further strengthens his expertise in big data analytics and risk modeling. He leads a research program that combines experimental photonics with computational intelligence to develop next-generation food monitoring systems. Laboratory and Research Team: Dr. Nadimi's research group focuses on developing integrated photonics and data analytics solutions for agri-food systems. The team works on sensor development, machine learning model training, and real-time monitoring platforms for grain and oilseed storage environments.

• Financial Reporting
• Accounting Disclosure
• Bank Accounting
• +7 more

Yiwei Dou is an Associate Professor of Accounting at the Leonard N. Stern School of Business, New York University, where he also holds the title of Bank and Financial Analysts Faculty Fellow. He joined NYU Stern in 2012 as an Assistant Professor and has since advanced academically, contributing significantly to the field of financial accounting and disclosure. Ph.D. in Accounting – University of Toronto M.A. in Economics – York University B.A. in Accounting – Peking University Professor Dou’s research centers on financial reporting quality, debt contracting, and the real effects of accounting standards, with a particular focus on bank accounting and disclosure. His work explores how accounting rules influence lending behavior, securitization practices, and financial covenant enforcement. He investigates how regulatory changes, such as FAS 166/167 and SFAS 161, impact firm decisions and market outcomes. His recent publications apply machine learning to earnings forecasting and examine corruption in lending, information externalities in supply chains, and labor market effects on financial reporting. Collectively, his research bridges financial accounting with corporate finance, banking, and regulatory economics, often using empirical methods to assess the economic consequences of accounting standards. Notable scientific recognition includes being named the Bank and Financial Analysts Faculty Fellow. His work has been published in premier journals such as Journal of Accounting Research , Journal of Accounting and Economics , The Accounting Review , and Management Science . Bank and Financial Analysts Faculty Fellow Professor Dou advises doctoral students and contributes to academic mentorship, though specific advisees are not listed. He has not been mentioned as leading a formal lab or research center, but his collaborative research suggests active participation in academic teams. His ongoing research continues to shape understanding of accounting’s role in financial institutions and contractual relationships.

Olivier WangView profile

Assistant Professor

• Macroeconomics
• Banking
• International Finance
• +9 more

Olivier Wang is an Assistant Professor of Finance at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since July 2019. His research bridges macroeconomics, banking, and international finance, with a strong emphasis on monetary policy and financial intermediation. His academic training includes a PhD in Economics from the Massachusetts Institute of Technology (MIT), an MA in Economics, and a BA in Mathematics from École Normale Supérieure. He previously served as a Teaching Assistant at MIT. Wang’s research focuses on the impact of declining interest rates on banking behavior, the role of monetary policy in concentrated markets, exchange rate dynamics in emerging economies, and the financial implications of climate change. His recent work explores zombie lending, biodiversity loss, and the rise of shadow banking. He frequently collaborates with leading economists such as Viral V. Acharya, Stefano Giglio, and Iván Werning. His publications appear in top journals including the Journal of Finance , Quarterly Journal of Economics , American Economic Review , and Review of Economic Studies . The body of his work shows a strong trend toward understanding financial stability, policy design, and the macroeconomic consequences of structural shifts in banking and markets. Scientific Awards: AQR Top Finance Graduate Award (2019) European Central Bank Lamfalussy Fellowship (2018) Yuki Arai Research Prize in Finance (2022, 2023, 2025) Wang has not publicly listed formal PhD or Master’s advisees, but his collaborative work suggests active mentorship and research leadership. He has secured recognition through competitive fellowships and research prizes, indicating strong grant and funding support. He is affiliated with NYU Stern’s finance faculty and contributes to policy-relevant research in central banking and financial regulation. He is involved in research teams focused on macro-finance, climate economics, and financial stability, often working within interdisciplinary collaborations. His work with institutions like the European Central Bank highlights his engagement with real-world policy challenges.

• Climate Change Impact Analysis
• Financial Markets
• Asset Liability Management (ALM)
• +3 more

Bert Kramer is a Lecturer at the University of Groningen's Faculty of Economics and Business, specializing in climate change's economic and financial impacts. He concurrently serves as Head of Climate Research at Ortec Finance, leading teams analyzing climate risks for institutional investors. He holds a cum laude PhD in Business and a Master's in Econometrics from the University of Groningen. His research focuses on quantifying climate change effects on financial systems, aligning portfolios with the Paris Agreement, and asset-liability management for insurers and pension funds. Notable projects include work for the Dutch Pensions Authority and Government Buildings Agency. His work has been internationally recognized through awards for scientific publications. Teaching interests include econometrics, finance, and risk management. He advises global investors on climate adaptation strategies and has published widely on topics ranging from climate scenario analysis to long-term economic modeling. Professional activities include actuarial research and contributions to housing policy frameworks.

Ted ShepherdView profile

Professor

• Climate Variability and Change
• Atmospheric Circulation
• Climate Risk and Uncertainty
• +4 more

Professor Ted Shepherd holds the Grantham Chair in Climate Science at the University of Reading's Department of Meteorology. His research focuses on atmospheric dynamics, climate variability, and the development of 'storylines' to bridge scientific insights with policy decisions. He leads a team exploring extreme event attribution, climate risk, and teleconnections between weather systems. His work integrates computational analysis with atmospheric science to address climate change impacts at regional scales. Prior contributions include studies on ozone depletion and stratospheric circulation. He chairs the Science Review Group for the Met Office Hadley Centre and collaborates with organizations like EDF on climate risk assessments. Shepherd’s methodologies, such as storylines, are adopted by the IPCC to enhance climate communication. He advises policymakers on actionable climate science, emphasizing local resilience strategies against weather extremes. Research highlights include investigating Arctic sea-ice impacts on Eurasian climate, tropical Pacific dynamics affecting rainfall, and causal networks for decision support. His funded projects include XAIDA (extreme event attribution) and Huracán (North Atlantic climate risks). Shepherd advocates for climate science that prioritizes societal relevance, emphasizing equitable access to climate information.

Jing AiView profile

Professor

• Insurance Markets
• Behavioral Insurance
• Risk Management
• +5 more

Jing Ai is a Professor of Finance, Risk Management and Insurance at the Shidler College of Business, University of Hawaii at Manoa, where she holds the First Insurance Company Distinguished Professorship. She serves as Director of the Ph.D. Program and Faculty Advisor for the Insurance & Risk Management Track. Her academic credentials include a PhD in Risk Management and MS in Information, Risk, and Operations Management from the University of Texas at Austin (2008), and a BS in Finance from Tsinghua University (2003). Research Focus: Professor Ai's interdisciplinary research spans insurance markets, behavioral economics, regulatory frameworks, and quantitative risk modeling. Key areas include: Behavioral dynamics in insurance decision-making Enterprise risk management optimization techniques Advanced fraud detection methodologies Longevity risk and retirement solutions Cyber risk contagion modeling Efficiency in insurance operations Her work integrates actuarial science, finance, and behavioral economics to address contemporary challenges in risk transfer mechanisms. Publication Analysis: Her 15 most recent publications (2009-2022) demonstrate consistent focus on insurance market efficiency, behavioral anomalies in risk-taking, and innovative risk quantification methods. Dominant themes include fraud detection systems (healthcare, financial), behavioral contract design, enterprise risk interdependencies, and specialized risk transfer solutions (cyber, weather, longevity). Methodologies range from theoretical modeling to empirical data analysis using advanced statistical techniques. Awards & Honors: Most Outstanding Journal Article Award - Society of Actuaries (2016) Spencer L. Kimball Writing Award - NAIC (2015) Shidler Faculty Fellow (2012-2014) Shirley M. Lee Research Award (2011) Hagen Family Foundation Award (2009) Academic Leadership: As Ph.D. Program Director, she oversees graduate research development in finance and risk management. Advises students in the Insurance & Risk Management specialization, developing curriculum that bridges theoretical frameworks and industry applications. Teaches core courses including Principles of Insurance, Enterprise Risk Management, and Insurance/Risk Management graduate seminars.

• Risk Theory
• Actuarial Mathematics
• Bankruptcy Theory
• +4 more

Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications

Joaquim G. PintoView profile

Professor

• Meteorology
• Climate Research
• Extreme Weather Events
• +3 more

Joaquim G. Pinto serves as Professor at the Karlsruhe Institute of Technology (KIT), where he heads the Regional Climate and Weather Hazards working group within the Institute of Meteorology and Climate Research (IMK). His research centers on understanding the physical mechanisms behind destructive extreme weather events and assessing regional climate change impacts through high-resolution modeling. His work investigates winter storms, hurricanes, heavy precipitation, and temperature extremes using kilometer-scale climate simulations to evaluate localized risks. He examines how climate change affects European wind patterns and renewable energy reliability, demonstrating that potential wind power fluctuations (+/-5% continent-wide) can be mitigated through decentralized pan-European grid strategies. His research integrates fundamental atmospheric physics with practical risk assessment for insurers, municipalities, and industries. Funded by a 13-year AXA Research Fund professorship established in 2016, Pinto collaborates extensively through KIT's Center for Climate and Environment, the Center for Disaster Management and Risk Reduction Technology (CEDIM), and the Collaborative Research Center "Waves to Weather". His findings translate complex climate data into actionable insights for disaster preparedness and infrastructure resilience, particularly regarding insured losses from events like Hurricane Friederike which caused approximately €1 billion in damages.

Katherine FuhView profile

Associate Professor

• Gynecologic Oncology
• Translational Research
• AXL Inhibition in Cancer Therapy
• +3 more

Katherine Fuh, MD, PhD, is an Associate Professor and Director of Basic and Translational Research in the Department of Obstetrics, Gynecology & Reproductive Sciences at the University of California San Francisco (UCSF) School of Medicine. She returned to UCSF in 2022 after nine years at Washington University in St. Louis, where she conducted groundbreaking research in gynecologic oncology. 1995-1999: B.A. in Biology and East Asian Studies, Johns Hopkins University 2000-2001: M.S. in Physiology, Georgetown University 2001-2005: M.D., Georgetown University 2005-2009: Residency in Obstetrics and Gynecology, Stanford University School of Medicine 2009-2013: PhD in Cancer Biology, Stanford University Dr. Fuh specializes in gynecologic oncology with particular focus on AXL signaling inhibition, chemotherapy sensitivity enhancement, and DNA damage response in ovarian cancers. Her work bridges clinical practice and translational research, serving as principal investigator for multiple federal and foundation grants while maintaining active roles in national clinical trial committees like NRG Clinical Trials Group. She is internationally recognized for her Phase 3 trial GOG-3059/ENGOT OV-66 evaluating AXL inhibitors in platinum-resistant ovarian cancer. Her recent publications demonstrate diverse expertise spanning patient-derived xenograft modeling, mesothelial cell culture techniques, and behavioral interventions for endometrial cancer survivors. Scientific recognition includes the 2019 American Cancer Society Research Scholar Award and Reproductive Scientist Development Program Scholarship. Dr. Fuh's research portfolio integrates molecular oncology with clinical implementation, particularly evident in her work on MRI-guided adaptive radiation therapy (SMART) and epigenetic modulation of PARP inhibitor responses in ovarian cancer. Major Scientific Awards 1999 Multicultural Diversity Award, Johns Hopkins University 2007 Bayer HealthCare Best Ob/Gyn Resident Teaching Award 2008 James A. Roberts Award for Outstanding Clinical Care 2013-2018 Reproductive Scientist Development Program Scholar 2019 American Cancer Society Research Scholar Award

Elif FilizView profile

Associate Professor

• labor economics
• applied microeconomics
• econometrics
• +3 more

Dr. Elif Filiz is an Associate Professor of Economics at Louisiana State University. She holds a Ph.D. and M.S. in Economics from Louisiana State University and Agricultural & Mechanical College. Her research focuses on labor economics, applied microeconomics, and econometrics, with an emphasis on labor market dynamics, education policy, and human capital formation. Degrees: Ph.D. (2015), M.S. (2011) in Economics from Louisiana State University. Her publications span topics such as unemployment insurance, political compensation, and child academic outcomes linked to parental job loss. Recent work explores online education efficacy and the intersection of appearance with labor market outcomes. Dr. Filiz is affiliated with the American Economic Association and teaches courses in microeconomics, labor economics, econometrics, and cultural economics. She is fluent in Turkish and English.