Insurance Models Professors and Supervisors | ApplySharif

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Pavlo BlavatskyyView profile

Professor

Montpellier Business SchoolFrance

Pavlo Blavatskyy is a Professor of Economics at Montpellier Business School (France). He has held previous academic positions, including Professor roles at Murdoch University (Australia), University of Innsbruck (Austria), and the University of Zurich (Switzerland). His research focuses on decision theory, experimental economics, and behavioral economics, with notable contributions to understanding loss aversion, ambiguity neutrality, and intertemporal choice. He has received the Ig Nobel Prize in Economics (2021) for his work. Blavatskyy holds a Ph.D. in Economics from CERGE-EI, Charles University (Czech Republic) and an M.Phil. in Economics from the University of Cambridge (UK). His teaching disciplines include Economy, and he has authored influential articles in journals like Experimental Economics and Economics Letters . His research themes emphasize decision-making under risk and uncertainty, with studies exploring the Allais paradox, common-ratio effects, and political corruption dynamics in post-Soviet countries. His work bridges theoretical economics with empirical validation through experimental methods. Awards: Ig Nobel Prize in Economics (2021) Advising/Grants: No specific advising or grant details provided in text. No lab affiliations or team collaborations explicitly mentioned in the provided information.

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Michael SmetsView profile

Professor

University of OxfordUnited Kingdom

Profile Roles and Affiliations: Michael Smets is a Professor of Management at the Saïd Business School, University of Oxford. He is also a Research Fellow at Green Templeton College and a member of the Centre for Professional Service Firms. His academic contributions span institutional theory, practice theory, and strategic management. Education: Bachelor’s equivalent in Business and Economics, Cologne University, Germany MSc in Management Research, Saïd Business School DPhil in Management, Saïd Business School Postdoctoral Researcher at Saïd Business School and University of Alberta’s School of Management Research Interests: Michael’s work examines professional service firms (PSFs) through three core lenses: Global Operations: Internationalisation challenges in law, consulting, and reinsurance firms, with a focus on institutional complexity and regulatory systems. Innovation & Career Systems: How evolving career structures in PSFs can simultaneously drive innovation and address work-life balance demands. Recent studies highlight ambidextrous career paths and their strategic leverage. Methodological Innovation: Pioneering video- and team-ethnography to capture micro-level organisational practices. His ‘fly on the wall’ study at Lloyd’s of London is a landmark in this domain. Academic & Industry Impact: His research has been translated into industry-relevant outputs, including reports for the reinsurance sector and handbooks for legal firms. The 2013 ESRC Award for Outstanding Impact in Business recognises this translational work. Academically, he has received the 2012 Academy of Management Journal Best Article Award and multiple best paper awards. Teaching & Executive Education: Michael teaches strategic management, innovation, and business development in executive programmes for Commerzbank, Deloitte, and other global firms. He is Programme Director for the Oxford Leading Professional Service Firms Programme, emphasizing interactive, case-study driven pedagogy. His teaching philosophy prioritises critical thinking over rigid models, as he states: ‘It is critical to understand under which circumstances which models work, and which ones don’t.’ Labs & Collaborations: Affiliated with the Centre for Professional Service Firms and the Oxford Initiative on Rethinking Performance. He collaborates with institutions like Cass Business School and Aston Business School on ethnographic studies. His work also intersects with the Insurance Institute of London and the International Bar Association for practitioner-focused outputs.

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Elinor BenamiView profile

Assistant Professor

Virginia Polytechnic Institute and State UniversityUnited States

Elinor Benami is an **Assistant Professor** in the Agricultural and Applied Economics Department at Virginia Tech. She holds affiliations with the VT Remote Sensing & Global Change Center, the Center for Advanced Innovation in Agriculture, and Stanford’s RegLab. Her research focuses on environmental and development economics, leveraging satellite imagery and machine learning to enhance disaster financing and environmental compliance. She earned a B.A. from UNC Chapel Hill, a Ph.D. from Stanford University, and a postdoc at UC Davis. **Research Interests**: Climate risk management, agricultural resilience, remote sensing applications, and policy design for sustainable agriculture. Current projects include NASA-funded work on Moroccan irrigation and drought financing, and evaluating U.S. environmental compliance using AI. **Awards/Grants**: Led a $650K NASA Harvest grant, part of a $80M climate-smart agriculture initiative, and received the VT Early Career Scholarly Impact Award Nominee. Active in policy, including advising the EPA on environmental compliance algorithms. **Teaching**: Courses include 'Remote Sensing in Social Sciences', 'Climate Risk Management', and 'Environmental and Sustainable Development Economics'. Mentors students at all levels, emphasizing computational skills and social impact. **Affiliations**: NASA Harvest, VT Remote Sensing IGEP, and the Alliance for Climate-Smart Agriculture. Collaborates with global institutions on drought financing and satellite data applications.

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Marcel DettlingView profile

Lecturer

Zurich University of Applied Sciences (ZHAW)Switzerland

Dr. Marcel Dettling is a Group Lead in Data Analysis and Statistics at the ZHAW School of Engineering , focusing on predictive analytics, applied statistics, and complex data analysis. He also serves as a Lecturer at ETH Zurich , teaching advanced statistical methods. Education : PhD in Mathematics (2000-2004), ETH Zurich Postdoc in Applied Statistics (2004-2006), Johns Hopkins University His research spans predictive analytics (regression, classification, time series), data mining, and applications in health economics, transportation safety, social sciences , and business analytics . Recent work includes pharmaceutical cost group analysis for Swiss healthcare and predictive maintenance for marine vessels. Selected publications highlight his expertise in flight trajectory modeling , deep learning error mitigation , and statistical frameworks for rehabilitation finance . His projects address diverse fields like crowdworking in nursing, energy optimization for shipping, and customer behavior prediction.

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Damir FilipovicView profile

Professor

Swiss Federal Institute of Technology in LausanneSwitzerland

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.

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Michael O. WoodView profile

Associate Professor

University of WaterlooCanada

Michael O. Wood is an Associate Professor in the School of Environment, Enterprise and Development (SEED) at the University of Waterloo and currently serves as the Associate Dean of Work-Integrated Learning in the Faculty of Environment. He holds a Ph.D. in Strategy and Sustainability from the Ivey Business School at Western University, an M.A. in Environmental Studies in Sustainability Management from Western University, and a B.A. in Science from the University of Guelph. Ph.D. in Strategy and Sustainability, Ivey Business School, Western University M.A. in Environmental Studies in Sustainability Management, Western University B.A. in Science, University of Guelph Dr. Wood's research focuses on organizational responses to sustainability challenges through the lenses of space, time, scale, and social license to operate. His work spans industries like insurance, mining, carbon management, waste management, and global security, with a particular emphasis on the Blue Economy and climate change. He has contributed to frameworks for water risk assessment, sustainable packaging practices, and the role of governance in sustainability-financial performance linkages. His recent publications address transdisciplinary tools for water risk management, workforce practices' impact on sustainability, ETS policy effects, and disaster response patterns in multinational corporations. While no scientific awards are explicitly mentioned, his work has been published in journals such as the International Journal of Disaster Risk Reduction and Economic Systems Research . Dr. Wood teaches courses like Introduction to Environment and Business and Environment and Business Project , and he collaborates with researchers like Sandhu, Weber, and Bansal on sustainability-related projects. His studies often incorporate mixed-methods analysis and policy reviews for sustainable resource management in Ontario and Canada.

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Katherine OrnsteinView profile

Professor

Johns Hopkins UniversityUnited States

Katherine Ornstein is a Professor at the Johns Hopkins School of Nursing with joint appointments in the Bloomberg School of Public Health's Department of Health Policy and Management, and the School of Medicine's Division of Geriatric Medicine and Gerontology. She directs the Center for Equity in Aging and is affiliated with multiple JHU aging-related centers. Her work focuses on improving healthcare equity for older adults with serious illness, home-based care delivery, dementia care, and end-of-life care. She holds a PhD in epidemiology from Columbia University. Her research, funded by NIH and CDC, explores caregiving burdens, homebound populations, and the economic impacts of healthcare on families. Notable recent work includes studies on dementia care outcomes, social isolation's health effects, and pandemic impacts on homebound older adults. Education: PhD in Epidemiology (Columbia University), MPH, BA Dr. Ornstein's awards include the 2024 Excellence in Research Mentoring and 2023 Isabel Hampton Robb Distinguished Scholar. She has advised numerous NIH-funded studies and collaborates across disciplines to address healthcare disparities in aging populations. Current projects examine rural-urban disparities in palliative care access, caregiver mental health, and leveraging big data to improve home-based care models. She leads efforts to define criteria for effective home-based primary care and reduce inequities in dementia care delivery.

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Heitor PellegrinaView profile

Assistant Professor

University of Notre DameUnited States

Heitor Pellegrina is an Assistant Professor of Economics at the University of Notre Dame, specializing in trade and development economics with a particular focus on agriculture and environmental resources. He is affiliated with the Building Inclusive Growth (BIG) Lab and became a Kellogg faculty fellow in 2023. Prior to joining Notre Dame, Pellegrina spent six years as an assistant professor at New York University Abu Dhabi, where he coordinated DevLab seminars from 2021-2023 and co-organized the conference "The End of Globalization" in 2022. His research spans multiple countries including Brazil, India, Colombia, and parts of Africa, examining the intersection of trade policies, economic development, and environmental sustainability. Pellegrina holds a PhD in economics from Brown University (2017) and both bachelor's and master's degrees in economics from the University of São Paulo, Brazil (2009 and 2011 respectively). His research program addresses critical questions at the intersection of international trade, agricultural productivity, and environmental sustainability. Recent work examines how weather shocks affect farm size distribution, the relationship between economic development and greenhouse gas emissions from agriculture, and the global impacts of trade policies on deforestation patterns. His publications appear in top journals including the Journal of Political Economy, Journal of Development Economics, and Journal of International Economics. PhD, Brown University, 2017 M.Sc., University of São Paulo, Brazil, 2011 B.Sc., University of São Paulo, Brazil, 2009 Pellegrina teaches undergraduate courses in Economic Growth and graduate courses in Quantitative International Trade and Development Economics. His research methodology combines empirical analysis of large datasets with theoretical modeling to address questions of economic development and trade policy. He has organized academic events including the Development Economics Working Group at Notre Dame and previously coordinated DevLab seminars at NYU Abu Dhabi.

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Javier ZamoraView profile

Professor

Southeastern Oklahoma State UniversityUnited States

Javier Zamora is a Professor at IESE Business School , part of the University of Navarra. He holds a Ph.D. in Electrical Engineering from Columbia University and an M.Sc. in Telecommunications Engineering from the Polytechnic University of Catalonia. Education Ph.D., Electrical Engineering, Columbia University M.Sc., Telecommunications Engineering, Polytechnic University of Catalonia PDG, IESE Business School Research Interests : Zamora specializes in digital transformation, focusing on data-driven organizations and artificial intelligence. His work explores how new technologies reshape business models, organizational structures, and leadership strategies. Publications span topics from AI implementation in finance and sports management to cloud computing in crisis scenarios. His research emphasizes practical frameworks like the "Digital Density" concept and tools for assessing digital maturity. Professional Roles : He co-founded Inqbarna (AI-powered mobile solutions) and served as CEO of eNeo Labs (digital home products). Currently, he directs executive programs at IESE, including Digital Transformation: Senior Management Program and Navigating IT Architecture .

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Theo ArentzeView profile

Professor

Eindhoven University of TechnologyNetherlands

Theo Arentze is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of the Built Environment, leading the Real Estate Management and Development group. He is affiliated with EAISI Health and EAISI Mobility research institutes. Education: MSc in Psychology (Cognitive Psychology & AI) from Groningen University, PhD from TU/e Urban Planning Research: Spatial choice behavior, decision support systems, activity-based modeling, agent-based simulation His research integrates bounded rationality into spatial choice models to enhance behavioral realism, with applications in real-estate management , neighborhood development , healthy cities , and hybrid work environments . Recent work includes child-friendly urban planning and energy-efficient housing impacts . Prominent article themes include: Hybrid work location decisions Urban public space affective experiences Child friendliness in residential choices Sustainable energy preferences Spatial decision support systems Social network modeling Scientific recognition includes: Best Poster Award (2025) - Computational Urban Planning Conference Long Paper of Distinction (2021) - Healthy Buildings Europe EuroFM Best Paper Award (2017) Pyke Johnson Award (2016) As an educator, he teaches courses in Urban Planning , Housing Economics , and Quantitative Research Methods . His multidisciplinary team combines expertise from psychology, sociology, and urban economics to create high-quality built environments through behavioral research.

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Francisco GomesView profile

Professor

London Business SchoolUnited Kingdom

Professor Francisco Gomes is a Professor of Finance at the London Business School , where he has been a faculty member since 2000. His research focuses on capital markets, asset allocation, household finance, and macroeconomics , with a particular emphasis on life-cycle investing, retirement policy, and risk-sharing mechanisms. BA - Universidade Nova de Lisboa MA/PhD - Harvard University His work has been published in top-tier journals like The Journal of Finance , The Review of Financial Studies , and The American Economic Review . Recent publications analyze automation's impact on wealth dispersion, yield-chasing behavior in household investments, and optimal target-date fund strategies for retirement planning. Professor Gomes is a Research Affiliate of the Centre for Economic Policy Research (CEPR) and co-founded the CEPR Network on Household Finance. His research bridges theoretical models with empirical analysis, often incorporating computational methods (e.g., Fortran/Matlab code for life-cycle models).

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Robin WeersingView profile

Professor

San Diego State UniversityUnited States

Robin Weersing is a Professor of Psychology at San Diego State University's College of Sciences and Co-Director of the SDSU/UC San Diego Clinical Psychology Joint Doctoral Program. With a focus on child and adolescent mental health, her research emphasizes development of efficient psychosocial interventions for anxiety and depression, particularly in underserved populations. PhD in Clinical Psychology, University of California, Los Angeles (2000) MA in Clinical Psychology, University of California, Los Angeles (1995) BA in Psychology, Linfield College (1993) Her work bridges clinical psychology and health services research, prioritizing transdiagnostic behavioral therapies that address comorbid anxiety and depression in youth. Key areas include: Telehealth adaptation for diverse populations Parental influences on treatment outcomes Racial/ethnic disparities in mental health care Cost-effectiveness analysis of community interventions Implementation science for primary care settings Recent publications highlight therapeutic mechanisms like avoidance reduction and parent-child interaction modifications. Her lab examines: Neural reactivity changes during treatment Implementation barriers in low-resource settings Minority stress in LGBTQ+ youth Interpersonal conflict mediation

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Dermot J HayesView profile

Professor

Iowa State UniversityUnited States

Dermot J Hayes is the Charles F. Curtiss Distinguished Professor in Agriculture and Life Sciences and holds the Pioneer Hi-Bred International Chair in Agribusiness at Iowa State University's Department of Economics and Ivy School of Business. His expertise spans agricultural economics, financial economics, and international trade policy with a focus on commodity markets, farm policy, and China's agricultural impacts. Education: Ph.D. and M.S. in Agricultural Economics from the University of California, Berkeley (1986 and 1982). Research Interests: Includes U.S. farm policy, international trade dynamics, agribusiness strategies, crop insurance, financial derivatives, and China's role in global commodity markets. His work emphasizes policy analysis, market resilience, and emerging challenges like disease outbreaks (e.g., African Swine Fever). Awards: AAEA Fellow (2007), AAEA Enduring Quality Award (2006), and J.H. Ellis Teaching Award (2005). His research on food safety auctions remains influential. Consulting: Since 1995, he has advised the National Pork Producers Association on trade economics. His work informs policy debates on tariffs, trade deals, and market disruptions. Labs & Collaborations: Engaged with Iowa State's interdisciplinary initiatives on agriculture-environmental nexus and bioenergy systems.

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Gilbert YeView profile

Assistant Professor

Northeastern UniversityUnited States

Yang (Gilbert) Ye is an Assistant Professor in the Department of Civil and Environmental Engineering at Northeastern University, joining in January 2025. His research focuses on human-AI/robot teaming, automation in engineering, and assistive technologies, with a particular emphasis on human-centric robotics and sensorimotor processes. He holds a PhD in Civil Engineering from the University of Florida (2024), advised by Dr. Eric Jing Du. **Affiliations**: Member of ASCE, IEEE, and HFES. His work integrates VR/AR, robotics (e.g., drones, exoskeletons), and AI to enhance civil engineering workflows and workforce training. He leads the Ye Lab, actively recruiting PhD students and postdocs with coding experience (Python/C++/C#) and backgrounds in engineering or computer science. **Key Research Themes**: Human-robot interaction, construction automation, exoskeleton training, and delayed feedback mitigation in teleoperation. Over 20 peer-reviewed publications in journals like ASCE JoCEN, IEEE Access, and Advanced Engineering Informatics. **Lab Opportunities**: PhD/postdoc applicants require strong academic records (GPA ≥3.5) and coding skills. Undergrad/master students can apply for thesis/research roles. Funding covers tuition, insurance, and stipends.

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Lu YiView profile

Professor

Tsinghua UniversityChina

Lu Yi is a Professor at the Department of Economics, Tsinghua University School of Economics and Management , holding a CITIC Chair Professor since 2022. He is also Director of multiple research centers , including the Tsinghua University China Economic and Social Data Research Center and the Center for International Economics. A doctoral supervisor , he has guided students across institutions and academic programs. Lu Yi's education includes a BA from Fudan University's School of Life Sciences (1999) , an MA from Fudan University's School of Management (2003) , and a PhD from the University of Hong Kong's Faculty of Business and Economics (2007) . His research focuses on Chinese economy, public finance, and global economic governance , with particular emphasis on trade liberalization, institutional quality, and environmental policy. Key research areas : Trade policy impacts, productivity gains from trade, environmental regulation effects, and labor market responses to technological change Leadership roles : Editorial board member of American Economic Journal: Economic Policy , Co-Editor of China & World Economy , former Deputy Editor-in-Chief of Economic Journal Policy advisory : Expert for National Healthcare Security Administration's DIP payment system, National Council Member for Social and Economic Council His scientific awards span national and provincial levels , including the First Sun Shangqing Young Scholar Award , Pushan World Economics Outstanding Paper Youth Award , and multiple provincial social science achievement awards in Shandong, Liaoning, Zhejiang, Fujian, and Sichuan. His publications in top journals like the Journal of Public Economics , Review of Economics and Statistics , and Nature Climate Change demonstrate his influence in applied economics and policy research.

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