Ka I Ip is an Assistant Professor at the Institute of Child Development , University of Minnesota. As director of the D.A.N.C.E. Lab , Dr. Ip employs multimodal methods including neuroimaging, cortisol assays, and cross-cultural experiments to study emotion regulation and developmental psychopathology. PhD in Developmental Psychology (University of Michigan) Susan Nolen-Hoeksema Postdoctoral Fellow (Yale University) Research focuses on how cultural contexts and early adversity shape emotional development, with particular attention to racial-ethnic minorities and immigrant families . His work applies findings to social policy reform and health equity initiatives. Recent publications analyze neighborhood socioeconomic impacts on brain development , discrimination effects in bilingual adolescents , and cortisol dynamics in immigrant families . Key journals include Biological Psychiatry and Developmental Psychology . APA Editor’s Choice Article (2024) Yale Health Equity Research Finalist (2022) Accepting PhD students for Fall 2026. Collaborates with teams in neuroimaging , cross-cultural research , and pediatric biomarker studies .
Matti Marklund is an Assistant Professor at the Bloomberg School of Public Health , Johns Hopkins University , with additional appointments at The George Institute for Global Health (Australia) and Uppsala University (Sweden). He holds a PhD in Food Science from the Swedish University of Agricultural Sciences (2012) and an MSc in Engineering Biotechnology from Umeå University (2007). His research focuses on nutrition and public health , particularly diet-disease relationships , cardiometabolic epidemiology , and food policy . Key areas include sodium and potassium intake , trans-fatty acids , dietary fat quality , and cost-effectiveness analysis of global health interventions. He has led studies on salt substitution , food pricing policies , and hypertension management . His 15 most recent publications (2025–2019) cover topics such as trans-fatty acid biomarkers in Nigeria , price elasticity of food in Australia , hypertension treatment modeling in India , and diabetes risk from fatty acid intake . These works integrate modeling , cohort studies , and systematic reviews across public health , cardiovascular medicine , and nutritional epidemiology . Scientific awards include: 2022 & 2021: Paul Dudley White International Scholar Award, American Heart Association 2017 & 2016: Dr. P Håkansson’s Foundation Research Award His work has been cited over 3,000 times and referenced in 25 policy documents (WHO, World Bank). He has collaborated with institutions in Kenya , Nigeria , India , and Bangladesh for global health interventions .
Prof. Dr. Harald Tauchmann is a Professor of Health Economics at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has held a faculty position since 2013. He is affiliated with the School of Business, Economics and Social Sciences, specifically within the Department of Economics. Prof. Tauchmann also participates in multiple research focus areas at FAU, including 'Insurance and Risk' and 'Work in Transition,' demonstrating his interdisciplinary approach to health economics. Prof. Tauchmann received his education at Heidelberg University and the University of Manchester, UK, where he studied economics, political science, and sociology. He graduated in 1998 and completed his doctorate at the Interdisciplinary Institute for Environmental Economics (University of Heidelberg) in 2003. Prior to joining FAU, he worked as a research associate at the Rhineland-Westphalian Institute for Economic Research (RWI) in Essen from 2003 to 2012 and headed a junior research group at the health economics research center CINCH at the University of Duisburg-Essen. His research expertise lies in empirical health economics, with a particular emphasis on health insurance choice and competition, as well as individual health behavior. He has made significant contributions to understanding obesity, health shocks, mental health care payment systems, and thyroid diagnostics through his extensive publication record. His methodological work includes developing specialized Stata modules for econometric analysis, which have been widely adopted by researchers in the field. Prof. Tauchmann's scholarly work demonstrates a consistent focus on applying rigorous econometric methods to pressing health policy questions. His research portfolio shows particular strength in causal analysis of health behavior, especially regarding obesity interventions, health insurance market dynamics, and the economic consequences of health shocks. His recent publications (including several forthcoming in 2025) indicate continued scholarly productivity and relevance to current health policy debates. From March 2021 to April 2022, Prof. Tauchmann served as chairman of the German Society for Health Economics, highlighting his leadership and recognition within the national health economics community. His email contact is harald.tauchmann@fau.de for professional inquiries.
Dr. Derek G. Brewin is a Professor and Head of the Department of Agribusiness and Agricultural Economics at the University of Manitoba, within the Faculty of Agricultural and Food Sciences. He holds a PhD in Agricultural, Environmental and Regional Economics from Pennsylvania State University. Education: PhD, Agricultural, Environmental and Regional Economics, Pennsylvania State University, USA MSc, Agricultural Economics, University of Saskatchewan, Canada BSc, Agricultural Economics, University of Alberta, Canada Dr. Brewin's research focuses on spatial grain and oilseed markets, innovation in food processing and plant breeding, farm finance, and red meat supply chains. With 14 years of industry experience prior to his academic career, including roles as a lender and analyst in the agriculture sector, his work bridges practical industry knowledge with academic rigor. His current research projects examine the economics of crop rotations, grain transportation policy, plant location for oilseed processing, and the economics of perennial grains and forages with beef integration. His scholarly work shows a consistent focus on agricultural markets, transportation economics, and innovation policy, with a particular emphasis on Canadian agricultural systems. Recent publications analyze the impact of trade disruptions, pandemic effects on grain markets, and innovation policy in crop breeding. Scientific Awards and Recognition: Award-winning teacher of agricultural finance, marketing and risk management Past President of the Canadian Agricultural Economics Society Member and on Editorial Board of Northeast Agricultural and Resource Economics Association (NAREA) Member of the Structure and Performance of Agriculture and Agri-products Network Member of the Canadian Agricultural Innovation and Regulation Network Dr. Brewin has supervised numerous graduate students, with current students working on topics related to winter forage options, crop rotation profit impacts, and processing location impacts on farm prices. His professional service includes serving as a Senator at the University of Manitoba and as a director of Farm Management Canada and the Manitoba Rural Adaptation Council. Prior to his academic career, Dr. Brewin worked as a Corporate Advisor for the Canadian Wheat Board, a Policy Economist for Agriculture and Agri-Food Canada, and a farm lender. He was raised on a mixed irrigation farm in Purple Springs, Alberta, providing him with firsthand agricultural experience that informs his research and teaching.
Dr. Kai Li serves as Professor of Finance at the University of British Columbia's Sauder School of Business, holding the Canada Research Chair in Corporate Governance and W. Maurice Young Endowed Chair in Finance. Elected Fellow of the Royal Society of Canada (2022), she is Managing Editor of the Journal of Financial and Quantitative Analysis and previously served on editorial boards of Review of Financial Studies, Management Science, and Journal of Finance. Her academic foundation includes a BSc from Jiaotong University, MA from Concordia University, and PhD from the University of Toronto. Dr. Li's research examines corporate governance through three interconnected lenses: gender dynamics in finance (board diversity, analyst performance), corporate culture quantification (using generative AI and machine learning), and green innovation (environmental governance). Her methodology pioneers computational approaches to analyze textual data from corporate disclosures, bridging finance, computer science, and social sciences. Analysis of her recent publications reveals a distinct trajectory toward interdisciplinary research, increasingly integrating artificial intelligence with traditional finance to study culture and sustainability. This shift demonstrates growing emphasis on empirical measurement of intangible governance factors through NLP and generative models. Her accolades include: Fellow of the Royal Society of Canada (2022) UBC Killam Research Award Sauder Research Excellence Award (junior/senior) Barclays Global Investors Canada Research Award John L. Weinberg/IRRCi Best Paper Award (2024) Best Paper Award at 2024 China International Conference in Finance While the provided materials confirm her editorial leadership and research impact, specific details regarding graduate student supervision and grant funding portfolios were not disclosed. Dr. Li maintains affiliations with the Asian Bureau of Finance and Economic Research (Senior Fellow), European Corporate Governance Institute (Research Member), and FinTech at Cornell Initiative (Research Fellow).
Simon Chadwick is a Professor of Sport and Geopolitical Economy at Skema Business School in France. He specializes in the intersection of sports, geopolitics, and economic transformation in the Middle East, particularly focusing on Gulf states' strategic investments in global sports ecosystems. His research examines how nations like Saudi Arabia and Qatar leverage sports to diversify economies, enhance soft power, and address unemployment. Key themes include the commercialization of football leagues, privatization of sports clubs, and the role of multinational corporations in shaping regional sports markets. Chadwick’s recent articles analyze the Gulf’s pursuit of the 2036 Olympics, the integration of esports into national strategies, and the challenges of building fan loyalty in the Saudi Pro League. His work also explores the economic implications of acquiring European football clubs and the long-term sustainability of Gulf-led sports initiatives. He has contributed to debates on 'sportswashing' and argues that Gulf investments extend beyond PR to systemic economic restructuring. His insights are frequently cited in analyses of Saudi Vision 2030 and its sports-related giga-projects like Neom and Diriyah.
Nazanin Tajik is an Assistant Professor in the Department of Industrial and Systems Engineering at Mississippi State University (MSU). She holds a Ph.D. from the University of Oklahoma, an M.S. from the University of Tehran, and a B.S. from Sharif University of Technology. Her research focuses on integrating artificial intelligence, machine learning, and social science concepts to develop cross-disciplinary frameworks for infrastructure resilience, smart transportation systems, and disaster management. Her academic journey includes a Ph.D. at the University of Oklahoma where she contributed to the Risk-Based Systems Analytics Laboratory. At MSU, she established a research center bridging AI/ML tools with socio-technical systems. Key research domains include cyber-physical-social infrastructure resilience, search-and-rescue planning, and game-theoretic robotic designs. Tajik's work emphasizes optimization algorithms for network vulnerability assessment, resource allocation in disaster scenarios, and adaptive recovery strategies. She is actively involved with professional organizations such as INFORMS, ISE, and POMS, reflecting her commitment to advancing operations research and systems engineering methodologies.
Amir Sufi is the Bruce Lindsay Distinguished Service Professor of Economics and Public Policy at the University of Chicago Booth School of Business, where he has been a faculty member since 2005. He serves as a Research Associate at the National Bureau of Economic Research and co-director of its Corporate Finance Program. Bachelor’s Degree, Walsh School of Foreign Service, Georgetown University (1999) PhD in Economics, Massachusetts Institute of Technology (2005) His research focuses on finance , macroeconomics , and corporate finance . Key areas include household debt dynamics , credit market structure , income inequality , and interest rate impacts on productivity growth . Recent work examines customer capital investment and low-interest rate effects on market concentration . Selected scientific awards include the 2017 Fischer Black Prize, Econometric Society Fellow (2022), and American Academy of Arts and Sciences Fellow (2024). His peer-reviewed publications and working papers span topics from syndicated loans to global household debt cycles , with notable contributions to understanding credit-driven business cycles and government-led consumer credit programs . He teaches courses in leveraged finance , private credit , and corporate restructuring .
Craig A. Bond is a Professor at the RAND School of Public Policy, a Senior Economist at RAND Corporation, and Editor-in-Chief of the RAND Journal of Economics. His work bridges military resource allocation and environmental economics through advanced econometric modeling. Current Roles: Research QA Manager (RAND Arroyo Center), Senior Economist Methodological Expertise: Stochastic dynamic programming, discrete choice modeling, non-market valuation Key Research Themes: Military readiness, coastal resilience, green infrastructure, post-disaster recovery Research Interests: Craig Bond specializes in natural resource economics , environmental economics , and applied welfare economics , with recent work focusing on: Risk modeling for defense acquisitions and personnel strategy Resilience dividend valuation frameworks Green infrastructure cost-benefit analysis Climate adaptation in coastal communities Publication Trends: His 15 most recent works (2017-2025) show interdisciplinary focus across: Military Economics: Recruiting optimization, training requirements, economic multipliers Environmental Policy: Coastal land loss, invasive species impact, water management Resilience Modeling: Disaster recovery frameworks, adaptive systems
Prof. Fatih Terzi is a faculty member in the Department of Urban and Regional Planning at Istanbul Technical University's Faculty of Architecture. His research focuses on sustainable urban development, resilience, ecology, GIS applications, and smart cities. He has held visiting researcher positions at Clemson University (USA), University College London, and Technical University Berlin. He has led projects supported by EU, TÜBİTAK, and others, addressing ecological planning, risk reduction, and urban regeneration. His work bridges academic research with practical urban planning, including projects with municipalities and the Ministry of Environment. He has received multiple awards for research and design, including the Best Paper Award (2025) and TÜBİTAK recognitions. Education: PhD in Urban and Regional Planning from Istanbul Technical University (2010), MSc in Urban Planning (2004), BSc in Urban and Regional Planning from Yıldız Technical University (2000). Research interests include spatial strategic planning, ecological cities, and climate-sensitive urban design. He uses urban modeling and GIS to address sustainability challenges. His recent projects include Istanbul's flood risk analysis, green space strategies, and sustainable city planning in Kayseri and Malatya. Notable awards include the 2024 TÜBİTAK award for urban resilience projects and the 2023 Istanbul Technical University Academic Performance Award. He has also been recognized for design competitions, including the İzmir Ecological Living Area Project (2021) and the 2017 Balkan Architectural Biennale Urbanism Grand Prix. Prof. Terzi holds administrative roles at Istanbul Technical University, including Merkez Danışma Kurulu Üyeliği (2023–present). He oversees academic projects on urban resilience, smart cities, and ecological planning, contributing to both national and international initiatives.
Maya Balakrishnan is an Assistant Professor of Operations Management at the Jindal School of Management (JSOM), University of Texas at Dallas. She holds a PhD in Business Administration from Harvard Business School (2024) and a BS in Computer Science from Stanford University (2016). Her primary research focuses on Human-AI collaboration, Corporate Social Responsibility, and Behavioral Operations Management. She teaches courses such as AI in Supply Chain Management (OPRE 4393) and Advanced AI in Supply Chain Management (OPRE 6383). Her research explores how humans interact with algorithms in operational contexts and the ethical implications of workforce diversity disclosures on consumer behavior. Recent work emphasizes trust-building through operational design and mitigating risks in human-AI systems. Her awards include multiple first-place recognitions in behavioral operations competitions and a best presentation award at the Advances in Decision Analysis Conference. Awards: 2024 Production and Operations Management Junior Scholar Paper Competition (1st Place) 2023 INFORMS Behavioral Operations Working Paper Competition (2nd Place) 2022 Best PhD Blitz Presentation (Advances in Decision Analysis) Dr. Balakrishnan is actively involved in professional organizations such as INFORMS and the Manufacturing and Service Operations Management Society (MSOM). Her work bridges behavioral insights with operational systems, addressing real-world challenges in AI ethics and supply chain innovation.
Dr. Alfred Chong is an Associate Professor in the Department of Actuarial Mathematics and Statistics at Heriot-Watt University (HWU). Previously, he served as an Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC) and co-founded the Illinois Risk Lab. His research focuses on Actuarial Science, Financial Mathematics, and Quantitative Risk Management, addressing emerging risks like cyber, pandemic, and climate risks, leveraging machine learning, optimization, and stochastic control. He holds a PhD from The University of Hong Kong and King's College London, and is an Associate of the Society of Actuaries. Chong actively contributes to academic governance, including roles in the EPSRC Mathematical Sciences Early Career Forum and the Maxwell Institute's Data and Decisions research theme. Education: PhD in Actuarial Science, University of Hong Kong & King's College London Research Interests: Chong explores risk sharing mechanisms, forward preferences in insurance, and mitigation strategies for large-scale risks. His work integrates data analytics and machine learning to solve decision-making challenges, such as cybersecurity risk assessment, pandemic resource allocation, and climate risk modeling. Recent projects include incident-specific cyber insurance design and delegated investment strategies for retirement savings. Awards: Michael V. Colla Prize for Mathematics Related to Medicine (2022) Best of 2020 in the Annual Meeting of the Casualty Actuarial Society (2021) Advising & Grants: Chong supervises PhD students in holistic risk management, forward preferences, and reinforcement learning applications. He has secured grants supporting interdisciplinary research in risk modeling and insurance innovation. Labs & Teams: Co-founder of the Illinois Risk Lab (UIUC), now leading research at HWU's Actuarial Mathematics & Statistics department. Engaged with the International Centre for Mathematical Sciences for knowledge exchange initiatives.
Benjamin F. Hobbs serves as the Theodore M. and Kay W. Schad Professor of Environmental Management at Johns Hopkins University, holding a primary appointment in the Department of Environmental Health and Engineering and a joint appointment in the Department of Applied Mathematics and Statistics. He is co-director of the USEPA Yale-JHU SEARCH Center and director of the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center, focusing on interdisciplinary research at the intersection of energy systems, environmental management, and public health. Hobbs' educational background includes a BS from South Dakota State University (1976), an MS in Resources Management and Policy from SUNY-Syracuse (1978), and a PhD in Environmental Systems Engineering from Cornell University (1983). Prior to joining Johns Hopkins in 1995, he worked at Brookhaven and Oak Ridge National Laboratories and served as a professor at Case Western Reserve University, with additional visiting appointments at institutions including Cambridge University. His research integrates systems analysis, economics, and optimization to address critical challenges in electric utility planning, renewable energy integration, and environmental resource management. Key focus areas include solar forecasting using AI, green infrastructure for urban water management, health impacts of energy transitions, and grid reliability under high renewable penetration. His work emphasizes practical applications through engineering-economic modeling with rich technological and environmental detail. Analysis of his recent publications reveals a strong trend toward addressing grid reliability in decarbonizing systems, with increasing emphasis on market design innovations, resource adequacy under uncertainty, and storage-transmission tradeoffs. His research consistently bridges theoretical optimization with real-world policy implementation, particularly evident in his leadership of the EPICS Center's 100% renewable grid initiatives. Lifetime Achievement Award by Energy Systems Integration Group (ESIG), 2024 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the Institute for Operations Research and Management Science (INFORMS) Hobbs advises graduate students through Johns Hopkins' interdisciplinary programs, with alumni employed as energy consultants, policy analysts, and researchers. His current grants include leadership of the NSF Global Center EPICS and co-direction of the USEPA SEARCH Center, focusing on energy-air-climate-health interactions. He chairs the Market Surveillance Committee for the California Independent System Operator and serves on editorial boards for Energy Economics and other leading energy journals. He leads the Hobbs Energy & Environment Decisions Research Group, which collaborates with institutions including IBM, National Renewable Energy Laboratory, and University of Texas at Dallas. The group participates in the Global Power Systems Transformation Consortium and Columbia-JHU Future Power Markets Forum, conducting fieldwork initially in California and the central United States.
Robert C. Merton is the School of Management Distinguished Professor of Finance at MIT Sloan School of Management and John and Natty McArthur University Professor Emeritus at Harvard University. He holds a PhD in Economics from MIT (1970), with prior roles including George Fisher Baker Professor at Harvard Business School and J.C. Penney Professor of Management at MIT Sloan. His work revolutionized finance through the Black-Scholes-Merton options pricing model, earning the 1997 Nobel Prize in Economics. Current research focuses on lifecycle investing, systemic risk measurement, and financial innovation. Education: BS in Engineering Mathematics (Columbia), MS in Applied Mathematics (Caltech), PhD in Economics (MIT). Affiliated with MIT’s Golub Center for Finance and Policy and Harvard initiatives. Recognized via awards from CME Group, World Federation of Exchanges, and Risk magazine. Key publications include Continuous-Time Finance and co-authored works on financial systems and innovation. Research emphasizes translating theory into practice, with recent articles addressing volatility forecasting, trust in lending, bankruptcy frameworks, and performance fee valuation. A prolific academic leader, he advises on policy and systemic risk while maintaining ties to MIT’s finance community through roles like Killian Award recipient (2021).
Min Chen is an Assistant Professor in the Department of Forest and Wildlife Ecology at the University of Wisconsin–Madison, affiliated with the Russell Labs. His research focuses on terrestrial ecosystem modeling, remote sensing applications, and human-Earth system interactions. He holds a PhD in Earth & Atmospheric Sciences from Purdue University, an MS in Remote Sensing and GIS from Beijing Normal University, and a BS in Computer Science from Beijing Normal University. His postdoctoral work included roles at the Carnegie Institution for Science and Harvard University. Research interests include forest carbon dynamics, methane emissions from wetlands, wildfire risk analysis, and the integration of remote sensing with Earth system models. His work emphasizes advancing methods for global-scale environmental monitoring using satellite and drone technologies. Notable contributions include studies on forest edge dynamics, vegetation-climate feedbacks, and the application of machine learning in ecological modeling. Recent publications highlight advancements in leaf trait prediction using transfer learning, global wetland methane flux modeling, and the impacts of climate change on land-use patterns. His lab develops innovative approaches to track terrestrial carbon cycles and assess human-driven environmental changes. Ongoing projects explore urban land expansion effects on carbon balances and phenological shifts under global change scenarios.
