Lara Buchak is a Professor of Philosophy at Princeton University, where she returned after 12 years at UC Berkeley. Her work bridges decision theory, ethics, epistemology, and the philosophy of religion. She holds a Ph.D. from Princeton (2009). Her research focuses on risk analysis in decision-making, ethical implications of risk attitudes (e.g., climate policy, biomedical ethics), and the rationality of faith. Notable contributions include her 2013 book *Risk and Rationality*, which argues that diverse risk preferences can be rational. Current projects explore faith as commitment despite counterevidence and the role of worst-case arguments in ethics. Her recent articles emphasize normative theories beyond expected utility, applications of decision theory to climate and biomedical ethics, and philosophical analyses of faith and tradition. She has also engaged with free will, group decision-making, and religious definitions. Buchak’s work intersects formal philosophy with practical ethics, offering frameworks to address complex societal challenges through rigorous theoretical foundations.
Prof. Heinz Koeppl is a Professor in the Department of Electrical Engineering and Information Technology at TU Darmstadt. His research focuses on self-organizing systems, systems biology, and control theory, with applications in synthetic biology, robotics, and stochastic processes. He explores interdisciplinary topics such as genetic circuit design, UAV swarm dynamics, and machine learning-driven modeling of biochemical systems. Key research areas include the development of deep learning frameworks for kinetic modeling, Bayesian optimization for riboswitch design, and mean field control theory for sparse networks. His work bridges theoretical foundations with practical engineering solutions, addressing challenges in molecular communication, gene regulation, and robotic swarm coordination. Publications from 2023–2025 highlight advancements in bio-inspired algorithms, swarm intelligence, and computational biology. Notable contributions include studies on RNA-based circuits, active matter dynamics, and optimization strategies for large-scale systems. His research emphasizes interdisciplinary collaboration, leveraging tools from electrical engineering, mathematics, and life sciences. No scientific awards are explicitly listed in the provided text. Advising and grants details are not available. Prof. Koeppl’s lab focuses on integrating systems biology approaches with engineering principles to solve complex problems in healthcare, environmental sustainability, and technological innovation.
Gerald Voorhees is an Associate Professor and Chair of Communication Arts at the University of Waterloo. He holds a Ph.D. from The University of Iowa (2008) and a B.S. in Speech Communication from the University of Texas at Austin, where he was a Senior Fellow in the Honors Program of the College of Communication. His research explores games and new media as platforms for identity and cultural construction, with a focus on public discourse around gaming and rhetorics of race and ethnicity. Dr. Voorhees has held significant academic roles, including Vice-President of the Canadian Game Studies Association and former membership on the Executive Board of the Digital Games Research Association. He previously taught at Oregon State University and developed the Game and Interactive Media Design track at High Point University. His teaching spans communication theory, media studies, and game design, with courses such as DAC 204 (Game Design) and COMMST 430 (Communication and Social Justice). His research integrates critical theory with digital media analysis, examining topics like gender representation in games, neoliberal masculinity in esports, and racial dynamics in gaming cultures. He has co-edited influential volumes such as Masculinities in Play (2018) and Feminisms in Play (2018), contributing to foundational discussions in game studies. His recent work addresses intersectional feminism in gaming and the cultural implications of shooter game genres. Dr. Voorhees actively engages with professional organizations and academic publishing, serving as co-editor of the Approaches to Game Studies book series (Bloomsbury) and managing editor of the Gender in Play trilogy (Palgrave Macmillan). His scholarship bridges theoretical frameworks with empirical analysis, shaping interdisciplinary dialogue on digital media's societal impact.
Benjamin Born is a Full Professor of Macroeconomics at Ludwig-Maximilians-Universität München and Research Director at the ifo Center for Macroeconomics and Surveys since 2020 and 2018 respectively. He has held previous academic positions as Associate Professor of Economics at Frankfurt School of Finance & Management (2015-2018) and University of Bonn (2012-2015), and Assistant Professor at University of Mannheim (2011-2012). His educational background includes a PhD in Economics from the University of Bonn (2007-2011), M.Sc. in Econometrics and Economics from the University of York (2006-2007), and B.A./M.A. in Economics from the University of Siegen (2002-2006). Professor Born's research focuses on Fiscal and Monetary Policy, Business Cycles, and Empirical Macroeconomics. His work often combines theoretical modeling with empirical analysis to investigate how economic policies affect business cycles and how uncertainty influences economic decision-making. He frequently employs advanced econometric techniques and structural models to analyze macroeconomic phenomena, with particular attention to the transmission mechanisms of fiscal and monetary policy. His recent publications demonstrate a consistent focus on business cycle analysis, fiscal policy effects, uncertainty dynamics, and the impact of economic shocks. A notable pattern is his extensive collaboration with leading economists such as Christian Bayer, Gernot Müller, and Johannes Pfeifer across multiple research projects spanning different aspects of macroeconomics. Alejandro Justiniano-Best Paper Award (2019) Best Paper Award at Fiscal Policy Seminar (2018) DFG-funded Graduiertenkolleg 'Macroeconomics of Inequality' (1.5 million Euro, 2018-2022) Multiple Fontana Foundation Publication Awards (2012-2014) Research Grant for 'Austerity and Growth: Concepts for Europe' (2014) As Research Director of the ifo Center for Macroeconomics and Surveys, Professor Born leads a significant research team focused on macroeconomic analysis and forecasting. His editorial roles include Associate Editor for Macroeconomic Dynamics (since 2016) and former Panel Member for Economic Policy (2017-2019). He also maintains active research affiliations with the Centre for Economic Policy Research (CEPR) in London and the CESifo Research Network in Munich.
Qiaoning Carol Zhang serves as Assistant Professor of Human Systems Engineering within The Polytechnic School at Arizona State University's Ira A. Fulton Schools of Engineering. Her research investigates the critical intersection of human perception, social contexts, and emerging technologies including artificial intelligence, robotics, and automated vehicles, with emphasis on creating intuitive, user-friendly, and inclusive systems. Her academic foundation includes: Ph.D. in Information, University of Michigan (2023) M.S. in Industrial and Operations Engineering, University of Michigan (2018) B.S. in Industrial Engineering, Hunan University (2016) Dr. Zhang's research program centers on understanding how individual differences and social dynamics shape technology interactions. Key focus areas include Human-AI Collaboration , Human-Robot Interaction , Human Factors in Automated Vehicles , and User Experience Design . Her work employs interdisciplinary methodologies to ensure technology adapts to diverse user needs across complex socio-technical environments, particularly in transportation and healthcare robotics. Analysis of her 15 most recent publications (2021-2025) reveals dominant themes in trust dynamics within automated vehicles, with significant attention to explainable AI interfaces. Research consistently examines how voice characteristics (gender, similarity), explanation modalities, and individual differences (age, personality) impact cognitive and affective trust. Recent work extends to healthcare robotics for elderly populations using Kano model analysis to identify critical user requirements. No scientific awards are documented in the provided materials. Dr. Zhang actively recruits Ph.D. candidates and undergraduate/master's researchers with backgrounds in human-computer interaction, data science, and interdisciplinary fields (design, computer science, cognitive science). She emphasizes opportunities in transportation technology, healthcare robotics, AI, and UX research/design, requiring applicants to submit CVs, research statements, and representative work samples. While specific grants aren't detailed, her research scope indicates substantial funding in human factors and emerging technology domains. Her research team focuses on developing empathetic technology through projects examining trust calibration in automated vehicles and healthcare robot design for older adults. Current initiatives include voice interface optimization for diverse user groups and Kano model applications in home healthcare robotics, aiming to bridge technical capabilities with human-centered design principles.
Saleem Bahaj is an Associate Professor of Economics and Finance at University College London (UCL), serving as Programme Director for MRes/PhD in Financial Economics. He joined UCL in 2021 after seven years at the Bank of England's research department and holds a PhD from the University of Cambridge. His research focuses on the intersection of macroeconomics and finance, emphasizing international finance, corporate behavior, and bank capital regulation. Notable work includes studies on cross-border financial policy coordination, central bank liquidity lines, and the implications of bank capital requirements. Bahaj's research also explores topics such as open banking's impact, inflation risk markets, and the effects of monetary policy through collateral channels. He is affiliated with UCL's Department of Economics and School of Management, with a professional presence at Drayton House in London. Research interests include global financial stability mechanisms, the macroeconomic effects of fiscal policies, and the transmission channels of monetary policy. His work often addresses systemic risks and policy coordination in international contexts. He has contributed to discussions on liquidity management, solvency hedging strategies, and the anatomy of currency pegs. Bahaj's publications span topics from corporate behavior during crises to the economic impacts of residential collateral dynamics. His advising and grants activities are not explicitly detailed in the provided materials. He maintains a lab or team focused on financial stability and macroeconomic policy analysis, though specific team names are not mentioned. Contact information and a personal website are available via his UCL profile.
Dr Andrea Greve is a Lecturer in the Department of Psychology at the University of Cambridge . Her research focuses on cognitive processes related to memory, prediction error, and learning mechanisms. Key areas of interest include declarative memory formation, semantic predictions, and the influence of novelty on memory retention. She has explored topics such as word learning in variable-choice paradigms, the role of hippocampal lesions in memory binding, and predictive coding in neuroimaging contexts. Her work integrates experimental psychology with neuroscience methodologies, particularly leveraging neuroimaging techniques to investigate memory systems. Notable contributions include studies on false memory effects, the nonmonotonic relationship between object-location memory and expectedness, and the impact of prior knowledge on memory encoding. Dr. Greve has also contributed to methodological advancements, such as improved MRI anonymization for MEG coregistration. While her research spans multiple decades, recent efforts (2023–2025) emphasize predictive frameworks and their applications in understanding cognitive phenomena like semantic surprise and episodic memory formation. Her findings challenge traditional assumptions about fast mapping in adults and highlight the importance of integrating computational models with empirical data. Dr. Greve collaborates extensively with neuroimaging and cognitive science teams, contributing to interdisciplinary projects that bridge theoretical and applied research in memory systems. Her work maintains a strong focus on methodological rigor, particularly in experimental design and data interpretation.
Dr. Joanna Gutral-Sutherland is an Assistant Professor at SWPS University , affiliated with the Faculty of Design in Warsaw and the Department of Social Applications of New Technologies . She also contributes to the Centre for Climate Action and Social Transformations (4CAST) . Her research focuses on: Social expectations and psychological needs Personality trait development across the lifespan Climate change impact on well-being Mental health stigma and prevention Psychoeducation and cognitive-behavioral therapy Self-concept and temporal comparisons Scientific recognitions include: Professor Zbigniew Pietrasiński Award (2016) Podcast of the Year 2022 for "Gutral Gada" Vivelo Top Creators 2024 She teaches statistics, psychological research methodology, and personal skills development at SWPS University, while providing individual cognitive-behavioral psychotherapy and coordinating UX specialization programs.
Man-Yee Kan is a Professor of Sociology at the University of Oxford's Department of Sociology and a Fellow of Linacre College. Her research focuses on gender inequalities, time use, family dynamics, and migration, particularly in East Asian, European, and Anglophone contexts. She leads the GenTime project, funded by an ERC Consolidator Grant (2018-2026), examining gender inequality in time use across societies. Recent work analyzes Hong Kong migration to the UK, including pandemic impacts on migration decisions. She has held prestigious fellowships, including the British Academy Postdoctoral Fellowship (2008-2011) and Research Councils UK Academic Fellowship (2008-2013). Her research interests span gender roles in families, welfare policies, and migration studies. Key projects include studying intergenerational support in East Asian families and the sociological impacts of caregiving labor. Teaching includes a gender sociology option course, and she supervises doctoral/master students on gender, family, and social inequality topics. Publications span migration patterns, time-use dynamics, and gender disparities. She contributes to the Oxford Migration and Mobility Network and maintains an active research agenda on Hong Kong-UK migration and pandemic-related mobility changes.
Dr. Wanju Huang is a Clinical Assistant Professor in the Learning Design and Technology program at Purdue University , where she focuses on enhancing online learning experiences through innovative instructional design and emerging technologies. Prior to joining Purdue in Fall 2016, she served as an instructional design manager at Teaching and Learning Technologies and spent six years as a lecturer and instructional designer at Eastern Kentucky University. Education: Ph.D. in Curriculum & Instruction (Technology concentration) from University of Illinois at Urbana-Champaign Her research interests center on technology-mediated online communities, instructor presence in digital learning, augmented reality applications, and faculty development programs. She has published extensively on these topics, including studies on multimedia interventions for teaching presence, immersive technologies in ESL education, and adaptive cyber training platforms. Dr. Huang's publications reflect a strong focus on EdTech innovation , with trends spanning AI integration in K-12 , model-based systems engineering , and microlearning strategies . Her work bridges theoretical frameworks like social constructivism with practical implementations in professional education. Professional memberships include the American Educational Research Association, Association for Educational Communications and Technology, and Quality Matters. She teaches courses on learning design foundations, e-learning systems, and professional competency demonstrations in LDT.
Thomas Berger is a Professor at the University of Hohenheim , affiliated with the Faculty of Agricultural Sciences and leading the Department of Economics of Land Use . He also contributes to the Computational Science Hub and Hohenheim Tropics initiatives. Focus Areas: Climate change adaptation, land-use modeling, biodiversity-productivity trade-offs, agent-based simulation, and machine learning in agricultural systems. Key Projects: Simulation frameworks for smallholder resilience in Ethiopia, bioeconomic modeling in the Amazon, and hybrid intelligence applications in European agricultural policy. Recent Publications: 2025 study on climate change effects on insecticide reduction in Germany, 2024 work on reconciling biodiversity with productivity via hybrid models, and 2023 methodological contributions to surrogate modeling and seasonal forecast integration. Research Trends: Interdisciplinary integration of climate science, agricultural economics, and computational modeling, with increasing emphasis on AI-assisted decision support systems and sustainability policy validation. Teaching & Outreach: Offers Agricultural Economics seminars and Hohenheim Tropics discussions, requiring advance email registration for office hours.
Scott McCabe is a Professor of Marketing at Birmingham Business School, University of Birmingham. He earned his PhD from the University of Derby in 2001, focusing on visitor motivations in the Peak District National Park, and holds an MA in Leisure and Tourism Studies from the University of North London (1993) and an HND in Leisure Studies from the University of Salford (1991). Current co-editor in Chief of the Annals of Tourism Research Editorial board member of Tourism Management Elected fellow of the International Academy for the Study of Tourism (2019+) His research spans social tourism , responsible tourism , tourist emotions , and socio-linguistic methodology , with significant work on wellbeing outcomes from supported holidays for disadvantaged families. He has contributed to Annals of Tourism Research , Journal of Travel Research , and other top-tier journals. Recent publications address topics like qualitative research sampling , tourism theory , dark tourism motivations , and smart destination engagement . His work combines tourism policy critique , consumer behavior analysis , and methodological innovation . Scientific awards include fellowships and leadership roles in international tourism research committees. He has served as VP for the International Sociological Association's Tourism Research Committee and co-chairs the Academy of Marketing's Tourism Marketing SIG.
Dale Copeland is a Professor of International Affairs at the Frank Batten School of Leadership and Public Policy, University of Virginia. He holds a Ph.D. from the University of Chicago and is a leading scholar in international relations, specializing in security studies and international political economy. His research explores the interplay between economic interdependence, reputation, and state behavior, particularly in great power relations. Ph.D., University of Chicago His research focuses on security studies , international political economy , and IR theory , with particular emphasis on the causes of war, economic interdependence, bargaining and coercion, and the impact of rising and declining power. He investigates how trade, finance, and military behavior are interconnected and how states build reputations in international politics. His recent and past publications reveal a consistent focus on the conditions under which economic interdependence leads to peace or conflict. His work combines historical case studies with theoretical rigor, often engaging with realism, liberalism, and constructivism. Key themes include preventive war, reputation dynamics, trade expectations, and the strategic use of economic tools in foreign policy. His scientific awards include: International Studies Association Best Book Award (2017) MacArthur Fellowship Mellon Fellowship Post-doctoral Fellowship at the Belfer Center for Science and International Affairs, Harvard University Professor Copeland has advised numerous students and contributed to major scholarly debates through symposia on his work in International Security Studies Forum and Qualitative and Mixed Methods Research . He has received significant research support through prestigious fellowships and grants, enabling his influential publications. He is currently working on a book about commerce and American foreign policy and a new project on coercion without war. He is affiliated with the Frank Batten School and contributes to its mission of training future leaders in public policy and international affairs. His research informs both academic discourse and policy-relevant understanding of international conflict and cooperation.
Gavin Schwarz is a Professor and Head of School at the School of Management and Governance within the UNSW Business School . He specializes in organizational change , organizational failure and inertia , and the dynamics of virtual teams , with a focus on how organizations fail during change processes and how to develop applied strategies for change management . His work spans diverse sectors including healthcare, technology, and education, with publications in leading journals such as Academy of Management Learning and Education and Administrative Science Quarterly . Education : PhD in Management (University of Queensland), MPhil (Hons) in Management (University of Auckland), BA in Management and English (University of Auckland). Grants : 2020 Brock University grant for "University communication in times of COVID-19" , 2020 UNSW Medicine grant for "Translation and change: Embedding effective change management in health" , and earlier Australian Research Council and Gordon J. Samuels Fellowship awards. His research explores the development of knowledge in organizational theories , with an emphasis on collective responses to change , HR management during crises , and technology strategy . He has contributed to understanding organizational communication , team innovation , and structural inertia . His 15 most recent publications cover topics from AI’s role in organizational change to pandemic-driven research adaptation, with keywords spanning management science , behavioral economics , and digital transformation . Scientific Awards 2021-2023 : Outstanding Reviewer Awards (Academy of Management Review) 2017-2020 : Best Reviewer Awards (Journal of Organizational Behavior) 2019, 2013, 2011 : Best Paper Finalist/Awardee (Academy of Management divisions) 2007, 2006 : Editorial Board Excellence (Academy of Management Journal) and Gordon J. Samuels Fellowship As an active supervisor in organizational change and HR development , his work supports healthcare innovation and digital transformation. He serves as Editor-in-Chief for the Journal of Applied Behavioral Science and is on the editorial boards of Academy of Management Review , Journal of Management , and Journal of Organizational Behavior . Contact: g.schwarz@unsw.edu.au
Leland Bybee is an Assistant Professor of Finance at the University of Chicago Booth School of Business . He leverages machine learning and natural language processing to address economic and financial questions, particularly focusing on belief measurement with applications to asset pricing and behavioral economics. Ph.D. in Financial Economics, Yale School of Management (2024) M.S. in Statistics, University of Michigan (2017) B.A. in Economics, University of Chicago (2013) His research integrates computational methods with economic theory to analyze: Textual analysis of business news for macroeconomic tracking Narrative-driven asset pricing models Memory-based belief formation using kernel methods Macroeconomic determinants of currency returns He has received multiple awards including: Dimension Fund Advisors Distinguished Paper Award BlackRock Applied Research Award HEC Top Finance Graduate Award The Brattle Group PhD Candidates Award EFA Engelbert Dockner Memorial Prize Bybee teaches Machine Learning in Finance and participates in finance seminars, contributing computational tools like regIPCA (Python) and changepointsHD (R) to the research community.
