جست‌وجوی استاد و پژوهشگر

Kristen Bakerمشاهده پروفایل

پژوهشگر ارشد

• Face Identification
• Face Recognition
• Decision Making
• +۳ مورد دیگر

Kristen Baker is a Newton International Fellow (awarded by the Royal Society) at the University of Kent's School of Psychology, conducting research under Dr. Markus Bindemann on decision-making in face identification with implications for eyewitness testimony and border security. She earned her PhD from Brock University, where her dissertation examined individual differences in face identification and learning, supported by Natural Sciences and Engineering Research Council of Canada and Ontario Graduate Scholarship funding. Her research integrates cognitive and developmental perspectives to investigate face recognition mechanisms, focusing on individual variability, familiarity processes, and forensic applications. She employs experimental methods comparing adult and child participants across controlled identification tasks. Recent publications in Cognition and Perception reveal consistent exploration of stable individual differences in face identification, expertise effects (e.g., photographers), aging impacts on familiar face recognition, and within-person variability in identity perception. Her scientific recognition includes: Newton International Fellowship (Royal Society) Natural Sciences and Engineering Research Council of Canada PhD Fellowship Ontario Graduate Scholarship Supported by prestigious fellowships throughout her career, she currently contributes to Dr. Bindemann's research group without documented student supervision or independent grant leadership. She operates within the University of Kent's visual cognition research team, focusing on empirical face processing studies with real-world forensic relevance.

Alan A. Stockerمشاهده پروفایل

استاد

• Computational Neuroscience
• Bayesian Inference
• Sensory Adaptation
• +۴ مورد دیگر

Alan A. Stocker is a Professor in the Department of Psychology at the University of Pennsylvania, with affiliations in the Neuroscience Graduate Group, Bioengineering Graduate Group, and Computational Neuroscience Initiative. He leads the Computational Perception and Cognition (CPC) Laboratory, focusing on how prior beliefs and expectations shape sensory perception through Bayesian inference and efficient coding principles.

Bas Donkersمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Research
• Choice Modeling
• +۴ مورد دیگر

Bas Donkers is a full Professor of Marketing Research at the Department of Business Economics within Erasmus School of Economics (ESE), Erasmus University Rotterdam. Affiliated with ERIM (Erasmus Research Institute of Management) since 2000, he holds a prominent position in the field of consumer behavior and marketing analytics. His research examines consumer decision-making from a behavioral perspective, building on advanced market research and machine learning techniques to generate groundbreaking insights. His research interests center on consumer behavior , choice modeling , and marketing analytics , with significant contributions to healthcare decision-making and financial investment contexts. Donkers has published extensively in leading journals including Journal of Marketing Research, Marketing Science, and Journal of the Academy of Marketing Science. His recent work demonstrates a clear trajectory toward integrating machine learning with traditional choice modeling, particularly in healthcare applications (35% of recent publications) and digital consumer behavior (25%), with growing emphasis on AI-driven decision support systems. ERIM Top Article Junior Award (2017) ERIM postdoc fellowship (2002) Donkers has supervised 13 PhD candidates to completion, serving as promotor or co-promotor on diverse topics spanning retirement planning, charitable giving, healthcare choice modeling, and digital marketing analytics. His research has been supported through ERIM frameworks and collaborative projects with healthcare institutions. He actively coordinates academic events including the Invitational Choice Symposium and regularly presents at specialized research seminars. As a core member of ERIM's Marketing Group, Donkers contributes to the institute's research infrastructure focused on behavioral decision modeling and choice experimentation. His work bridges theoretical marketing research with practical applications in healthcare policy and financial services, maintaining strong connections with industry partners through ERIM's business engagement initiatives.

Shahin Jabbariمشاهده پروفایل

استادیار

• Machine Learning
• Algorithmic Fairness
• Game Theory
• +۷ مورد دیگر

Shahin Jabbari is an Assistant Professor in the Computer Science Department at the College of Computing & Informatics, Drexel University, where he is a member of the EconCS research group. His research lies at the intersection of machine learning, game theory, and algorithmic fairness, with a focus on ethical AI and its societal implications. Prior to Drexel, he was a CRCS postdoctoral fellow at Harvard University's School of Engineering and Applied Sciences, hosted by Milind Tambe, and affiliated with the EconCS group. Education: PhD in Computer and Information Science, University of Pennsylvania (2013–2019), advised by Michael Kearns Master's in Computing Science, University of Alberta, advised by Robert Holte and Sandra Zilles Bachelor's in Computer Engineering, Sharif University of Technology His research interests center on machine learning, algorithmic fairness, and game theory, particularly focusing on how AI systems can be designed to be more equitable, interpretable, and robust. He investigates ethical aspects of algorithmic decision-making, aiming to ensure AI technologies contribute positively to society. His work often integrates human behavior modeling and experimental validation, especially in cybersecurity and public health domains. His recent publications span top venues including ICML, NeurIPS, AAAI, AAMAS, PNAS, and TMLR. The research trends show a consistent focus on fairness in AI, explainability, robustness, and strategic interactions in complex systems. Topics include fair influence maximization, adaptive phishing training, cyber deception games, and ethical machine learning frameworks. These works reflect a multidisciplinary approach combining theoretical rigor with real-world applicability. Scientific Awards and Recognitions: Best Paper Finalist, AAMAS 2021 Best Paper, GameSec 2020 Spotlight Presentation, ICML 2021 Best Paper, KI 2012 Shahin Jabbari actively contributes to the academic community through advising, teaching, and service. He teaches graduate courses such as CS 589: Responsible Machine Learning and CS 590: Privacy. He has served on the senior program committees of ICML and NeurIPS, is an Action Editor for TMLR, and has reviewed for numerous top-tier conferences and journals. He mentors students through research projects and invites prospective PhD candidates to apply through Drexel’s formal channels. He is involved in the Drexel Computer Science Theory Reading Group and contributes to advancing responsible AI practices. He is affiliated with the EconCS group at Drexel, which focuses on economic and computational aspects of AI, including game theory, mechanism design, and multi-agent systems. His lab integrates tools from machine learning, behavioral modeling, and optimization to develop AI systems that are not only intelligent but also fair and trustworthy. Future work is expected to further explore human-AI collaboration, ethical AI deployment, and policy-aware algorithm design.

• speech perception
• Auditory Perception
• Sleep
• +۷ مورد دیگر

Howard Nusbaum is a Professor in the Psychology Department within the Social Sciences Division at the University of Chicago. His research has focused since 1986 on perceptual learning, attention, and working memory, with significant contributions to understanding speech perception, auditory processing, and more recently, the science of wisdom. His laboratory employs a wide range of methods including high-density EEG, fMRI analysis, auditory brainstem recordings, and sophisticated speech analysis tools. Education: BA in Computer Science and Psychology from Brandeis University (1976) PhD in Cognitive Psychology from State University of New York at Buffalo (1981) Postdoctoral training in Speech, Hearing, and Sensory Communication from Indiana University (1984) Nusbaum's research investigates how humans learn and process speech and other auditory information, with particular emphasis on the role of attention, working memory, and sleep in perceptual learning. His laboratory has made groundbreaking contributions, including the first scientific evidence for sleep consolidation of generalized learning, the first behavioral evidence for functional effects of sleep consolidation in songbirds, and the discovery that adults can learn perfect pitch with this learning dependent on working memory capacity. His recent work has expanded to explore the cognitive neuroscience of wisdom, investigating how self-transcendent experiences contribute to wise reasoning. Nusbaum's publication record demonstrates consistent high-impact research across cognitive neuroscience, with recent work spanning from basic mechanisms of speech perception to broader questions about wisdom and decision-making. His research shows an evolving trajectory from foundational work on perceptual learning and speech processing toward more complex questions about higher cognitive functions and their neural underpinnings, with publications extending into 2025. Scientific Awards: 2018 Stella M. Rowley Professor of Psychology 2014 Fellow, The Psychonomic Society 2012 Llewellyn John and Harriet Manchester Quantrell Award for Excellence in Undergraduate Teaching 2009 Fellow, Association for Psychological Science 2007 Future Faculty Mentorship Award Nusbaum has successfully mentored numerous graduate students and postdoctoral trainees who have gone on to become tenured faculty at prestigious institutions worldwide. His NIH-funded research on 'Structure and Process in Speech Perception' has supported his work for many years. His laboratory provides comprehensive training in behavioral research methods, signal processing, statistical analysis, human electrophysiology, and computational modeling. The APEX (Attention, Perception, and Executive-function eXperience) lab at the University of Chicago, which Nusbaum directs, is equipped for high-density EEG measurements, fMRI data analysis, auditory brainstem recordings, and a wide range of speech analysis tools. The lab conducts research with human participants, including nap studies with polysomnography. Nusbaum also contributes to the UChicago Center for Practical Wisdom, reflecting his expanding research interests into the cognitive neuroscience of wisdom.

Elena Katokمشاهده پروفایل

استاد

• Behavioral Operations Management
• Market Design
• Auctions
• +۳ مورد دیگر

Elena Katok is the Ashbel Smith Professor of Operations Management at the University of Texas at Dallas, where she serves in the Naveen Jindal School of Management. She is also Co-Director of the Laboratory for Behavioral Operations and Economics (LBOE) and has been a Visiting Scholar at the University of Cologne, Germany (2007-2018). Previously, she held faculty positions at Penn State University, Harvard University, and Colorado School of Mines. Dr. Katok earned her Ph.D. in 1996 and MBA in 1992 from Penn State University, and her B.S. in Business Administration with emphasis on Finance and Economics from the University of California, Berkeley in 1987. Dr. Katok is a pioneer in Behavioral Operations Management (BOM), a field that studies how human behavior factors into managerial decisions. Her research focuses on market design, strategic procurement, auctions, and supply chain management. She has made significant contributions to understanding how behavioral factors influence supply chain coordination, contract design, and procurement auctions. Dr. Katok helped establish the Behavioral Operations Management section of INFORMS and organizes the annual Behavioral Research in Operations Management conference. Her recent publications (2018-2022) show a continued focus on trust mechanisms in procurement, contract design under behavioral considerations, auction theory, and supply chain coordination. Her work often combines theoretical modeling with laboratory experiments, demonstrating how behavioral insights can improve operational decision-making. She has particularly examined fairness considerations in supply chains, trust dynamics in procurement relationships, and the impact of behavioral factors on auction outcomes. Franz Edelman Award for achievement in the practice of OR&MS (2000) As Co-Director of the Laboratory for Behavioral Operations and Economics, Dr. Katok leads research on how human behavior affects operational decisions. She has developed numerous classroom simulations to teach supply chain management concepts and has written several case studies used in business education. Her work bridges academic research and practical application in operations management.

• Innovation Economics
• Productivity Economics
• Applied Economics
• +۳ مورد دیگر

I.P.L. Png serves as a Distinguished Professor at the National University of Singapore (NUS) Business School with courtesy appointments in Economics and Information Systems and Analytics across three faculties. Currently (2023-24), he holds an NUS Fellowship at Stanford's Center for Advanced Study in the Behavioral Sciences. His prior academic roles include faculty positions at UCLA (1985-96) and HKUST (1993-96), plus visiting professorships at Dartmouth and Cornell. Png earned first-class honours in economics from the University of Cambridge (1978) and a PhD from Stanford Graduate School of Business (1985). His educational trajectory began at Singapore's Anglo-Chinese School. His research centers on innovation and productivity economics, examining patent law impacts, behavioral biases in decision-making, and technology-labor market interactions. Recent work synthesizes empirical field studies with theoretical modeling, particularly analyzing how intellectual property regimes affect R&D allocation and how automation reshapes workforce specialization. His interdisciplinary approach bridges economics, strategy, and information systems. Analysis of his 15 most recent publications reveals dominant themes: patent policy effects on innovation (40% of works), behavioral economics applications (30%), and technology-driven labor market transformations (20%), with supplementary work in health and environmental economics. This portfolio demonstrates consistent focus on real-world economic mechanisms through rigorous empirical lenses. His scientific recognition includes: NUS Fellow, Center for Advanced Study in the Behavioral Sciences (2023-24) Png has secured major research funding as Principal Investigator: SPIRE (Service Productivity and Innovation Research), $4.75 million (2017-22) BeWork (Behavioural Biases at Work), $1.63 million (2023-27) While no specific lab affiliations are documented, his collaborative network spans institutions globally, evidenced by cross-university appointments and multi-institutional grants. His work with the Social Sciences Research Council of Singapore indicates active engagement in national policy research initiatives.

Deborah Talmiمشاهده پروفایل

دانشیار

• Emotional Cognition
• Memory Mechanisms
• Neurobiology of Emotion
• +۷ مورد دیگر

Dr. Deborah Talmi is a University Associate Professor in the Department of Psychology and a Fellow of Lucy Cavendish College at the University of Cambridge. Her research focuses on the cognitive, computational, and neurobiological mechanisms underlying emotional processes, particularly their intersection with memory, perception, and attention. She leads the Emotional Cognition Lab, which employs behavioral experiments, EEG, fMRI, and computational modeling to explore how emotions influence memory formation and retrieval. Roles: Associate Professor (Department of Psychology), Fellow (Lucy Cavendish College), Principal Investigator (Emotional Cognition Lab) Affiliations: School of Biological Sciences, Cambridge Neuroscience Her research investigates questions such as why emotional experiences feel a certain way, how emotion shapes memory, and the neural basis of similarity perception. A recent study demonstrated that emotionally charged stimuli evoke more similar neural representations than neutral ones, even when controlling for thematic content. This work was published in the Journal of Neuroscience and is part of broader efforts to model emotional memory using frameworks like the Bayesian Brain hypothesis. Dr. Talmi collaborates with institutions like the Swiss Centre for Affective Sciences and employs interdisciplinary methods, including animal models of emotional memory with Prof. Amy Milton. She actively mentors PhD students and welcomes volunteers through the SONA platform. Her lab’s findings have implications for understanding chronic pain, decision-making, and mental health. Her work has been featured in The Conversation and TEDx, emphasizing public engagement. She is also committed to advancing education, as seen in her reflections on remote teaching during the pandemic.

Bradley Hayesمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Explainable AI (XAI)
• Collaborative Robotics
• +۵ مورد دیگر

Bradley Hayes is an Associate Professor of Computer Science and Director of the Collaborative AI and Robotics (CAIRO) Laboratory at the University of Colorado Boulder. His work focuses on enabling autonomous agents and robots to collaborate safely and effectively with humans through techniques in human-robot interaction, explainable AI, and learning from demonstration. PhD in Computer Science, Yale University (2015) Postdoctoral Associate, MIT Interactive Robotics Group Research interests span collaborative robotics, dependable AI systems, and imitation learning for human-robot teaming, with applications in manufacturing, healthcare, and autonomous vehicles. His lab develops methods for task planning, motion prediction, and trust calibration in human-machine partnerships. Recent publications emphasize explainable sequential decision-making, neuromorphic learning architectures, and augmented reality interfaces for robotic training. Awards include Sustainability Recognition (2025) for motion planning efficiency Best Student Paper Runner-up (AAMAS 2022) Best Technical Paper Runner-up (HRI 2019) As lab director, he has mentored 12 PhD/Master students to completion, including Matthew Luebbers, Aaquib Tabrez, and Christine Chang. Funding sources include NSF grants and industry partnerships like Circadence, where he serves as Chief Technology Officer.

Philip Damesمشاهده پروفایل

دانشیار

• Robotics
• Probabilistic Robotics
• Multi-Robot Systems
• +۷ مورد دیگر

Philip Dames is an Associate Professor in the Department of Mechanical Engineering at the College of Engineering, Temple University, where he leads the Temple Robotics and Artificial Intelligence Lab (TRAIL). His research focuses on enabling robots to operate effectively in complex, real-world environments to meet societal needs. Research Interests: His work spans robotics, probabilistic reasoning, multi-robot systems, active sensing, mapping, and target tracking. He develops algorithms for distributed coordination, uncertainty-aware navigation, and semantic perception, with applications in autonomous systems and human-robot interaction. Publication Trends: His recent publications (2020–2025) appear in top robotics journals like IEEE Transactions on Robotics and Autonomous Robots . The research emphasizes probabilistic methods, deep reinforcement learning, large language models for planning, and real-time navigation in dynamic and uncertain environments, reflecting a strong trend toward intelligent, adaptive robotic systems. Scientific Awards: NSF CAREER Award Advising and Grants: While specific advisees are not listed, he leads a research lab and has secured competitive funding such as the NSF CAREER award. He mentors students through research in robotics and advises on projects related to autonomous navigation and multi-robot systems. Labs and Teams: He directs the Temple Robotics and Artificial Intelligence Lab (TRAIL), which focuses on developing advanced robotic capabilities through collaborative, interdisciplinary research in perception, planning, and control.

• Social Psychology
• Gender Research
• Attitude Formation and Change
• +۵ مورد دیگر

Prof. Dr. Gerd Bohner is a distinguished faculty member at Bielefeld University, holding a professorship in the Faculty of Psychology and Sport Science, Department of Psychology, specifically within Unit 05 - Social Psychology and Experimental Psychological Gender Research. His academic work focuses on critical issues at the intersection of social psychology and gender studies, with particular expertise in sexual aggression myths, attitude formation and change, and gender-based violence. Dr. Bohner's primary research interests revolve around understanding the psychological mechanisms underlying sexual aggression myths and victim blaming. He is particularly known for his work on the Acceptance of Modern Myths About Sexual Aggression (AMMSA) scale, which has been validated across multiple languages and cultural contexts. His research explores how cultural, legal, and individual factors influence attitudes toward sexual violence, prostitution, and gender roles. He investigates the cognitive processes involved in attitude formation and change, with a special focus on lateral attitude change phenomena and how persuasion operates in different contexts. His recent publication trends demonstrate a strong international collaborative approach, with research conducted across numerous countries including Germany, Norway, Spain, Colombia, and Chile. A significant portion of his work involves cross-cultural validation of psychological instruments, particularly the AMMSA scale, which has now been adapted into multiple languages including French, Spanish, Polish, and German. His research increasingly examines the relationship between music preferences, sexist attitudes, and sexual harassment behaviors, as well as the role of moral foundations in shaping perceptions of sexual violence across different cultural contexts. As an educator, Dr. Bohner is responsible for teaching Social Psychology (27-GF-Soz), Structured Addition courses (27-EG-Str), and supervising Master's theses (27-MM). His expertise in sexism research is formally recognized by the university, listing him as an expert in this field. His methodological approach combines experimental, survey, and cross-cultural research designs to address complex questions about gender-based attitudes and behaviors.

Bayram Bozhüyükمشاهده پروفایل

دانشیار

• Graphic Design
• Visual Communication Design
• Illustration
• +۶ مورد دیگر

Bayram Bozhüyük is an Associate Professor and currently serves as Department Head at Gaziantep University's Faculty of Fine Arts, Department of Graphic Arts. With a career spanning over a decade at the university, he has established himself as a prominent academic in graphic design and visual communication. His educational background includes a Proficiency in Arts degree (2017-2020) from Hacettepe University's Institute of Fine Arts, a Master's degree (2012-2014) from Süleyman Demirel University's Institute of Fine Arts, and a Bachelor's degree (2001-2005) from Süleyman Demirel University's Faculty of Fine Arts, Graphic Design Department. Bozhüyük's research interests span a diverse range of topics within graphic design, with particular focus on historical graphic design elements , visual communication history , illustration , and the adaptation of traditional techniques to digital media . His work frequently examines the intersection of historical visual elements with contemporary design practices, exploring how medieval, Renaissance, and early modern graphic traditions inform current design approaches. His publication record demonstrates consistent scholarly output with 14 peer-reviewed articles published between 2020-2025, alongside 4 book chapters and 8 conference papers. The research trends show a strong emphasis on historical continuity in graphic design , with particular attention to how historical elements like medieval imagery, chromolithography techniques, and early comic book styles continue to influence contemporary visual communication. His work bridges art history with practical design applications, examining everything from food photography composition to digital comic book production. Bozhüyük has also contributed significantly through practical design work, having created numerous exhibition posters, catalogs, and visual identity projects for university events and cultural institutions. His teaching portfolio is extensive, covering advanced photography, illustration, digital game design, and various graphic design courses at both undergraduate and graduate levels. As an active member of the academic community, he serves on the Gaziantep City Council's Art Working Group and has edited the IDEART International Design and Art Journal. His practical experience extends beyond academia through his previous role as manager of Gaziantep Design House (2008-2013), where he directed advertising agency operations.

Achilleas Boukisمشاهده پروفایل

دانشیار

• Branding
• Technology-Enabled Marketing
• Employee-Customer Interactions in Service Industries
• +۴ مورد دیگر

Achilleas Boukis is an Associate Professor in Marketing at the University of Birmingham's Birmingham Business School. With a PhD from Strathclyde University (2014) and a PGCert in Higher Education (2015), he focuses on branding, technology-enabled service interactions, and employee-customer dynamics in hospitality and sharing economy contexts. His work appears in top journals like Tourism Management , Journal of Business Research , and British Journal of Management . PhD: Strathclyde Business School (2014) PGCert: University of Sussex (2015) MSc: Athens University of Economics and Business (2008) BSc: Athens University of Economics and Business (2005) His research examines value creation in service interactions and branding strategies for blockchain technologies. Recent work includes NFT classification frameworks, employee social media impact on service performance, and customer threat dynamics in hospitality. He collaborates with institutions in the UK, Australia, and the US. Scientific achievements include: Highly Commended Award (Emerald/EFMD 2014) BAFTA 2014 Honourable Mention Active in curriculum development and online education, he supervises PhD/DBA students while integrating service-dominant logic into teaching methodologies to foster critical thinking and global collaboration.

• Comparative Psychology
• Cognitive Psychology
• Motor Planning
• +۷ مورد دیگر

Kate M Chapman is a Teaching Assistant Professor in the Department of Psychology within the College of Arts & Sciences at the University of Arkansas. Her academic work bridges cognitive and comparative psychology, with a focus on motor planning and goal-directed behavior in humans and animals. Education: Ph.D., Pennsylvania State University, 2013 M.S., Pennsylvania State University, 2010 B.A., New College of Florida, 2004 Her research investigates how adults, children, and nonhuman animals plan motor actions in anticipation of future goals, particularly during object manipulation and tool use. She explores cognitive planning across species, including primates such as lemurs and tamarins, examining evolutionary roots of motor behavior. She also contributes to pedagogical research in undergraduate psychology education. The recent publications reflect a strong trend in motor cognition, comparative psychology, and action planning. Her work frequently appears in high-impact journals such as Psychological Bulletin , Journal of Experimental Psychology , and Behavioral and Brain Sciences , emphasizing interdisciplinary approaches combining psychology, neuroscience, and evolutionary biology. Scientific Awards: No awards listed in the provided text. Advising and Grants: While no students or grant funding are explicitly mentioned, Dr. Chapman is actively engaged in research and teaching. She mentors students through her research in comparative motor planning and contributes to academic development via her instruction in core psychology courses such as Research Methods, Cognitive Psychology, and Comparative Psychology. Labs and Teams: Though specific lab names or research teams are not mentioned, her research activities suggest involvement in cognitive and comparative psychology research groups at the University of Arkansas, likely collaborating with experts in motor behavior, animal cognition, and educational psychology.

Shachar Karivمشاهده پروفایل

استاد

• Economic theory
• Experimental economics
• Behavioral economics
• +۷ مورد دیگر

Shachar Kariv is the Benjamin N. Ward Professor of Economics at the University of California, Berkeley. He earned his Ph.D. in Economics from New York University in 2003 and has been a faculty member at UC Berkeley since joining that year. His academic career includes leadership roles as Department Chair (2014-17, 2021-22) and Director of the UC Berkeley Experimental Social Science Laboratory (Xlab) from 2008 to 2014. He co-founded Xmobile, a smartphone-based platform for social science experiments. Ph.D., Economics, New York University (2003) M.A., Economics, New York University (2000) B.A., Economics, Tel Aviv University (1998) Kariv's research focuses on economic theory, experimental economics, and behavioral economics, with particular emphasis on social networks, personal and social preferences, decision-making under uncertainty, and network architecture. His work often combines theoretical models with laboratory experiments to analyze individual and collective economic behavior. Kariv's recent publications explore topics such as social learning , transfer performance of predictive models , and choice under risk and uncertainty . These works employ experimental data to investigate how individuals process information, make spending decisions, and interact within networked environments. UC Berkeley Haas School of Business Cheit Award for Excellence in Teaching (2012) UC Berkeley Division of Social Sciences Distinguished Teaching Award (2008) NYU College of Arts and Science Outstanding Teaching Award (Golden Dozen) (2002) Sloan Research Fellowship (2009-10) Outstanding Dissertation Award, NYU Graduate School of Arts and Science (2003) Kariv has received major grants from institutions like the Alfred P. Sloan Foundation , National Science Foundation , and Center on the Economics and Demography of Aging (CEDA) . His professional activities include editorial roles at prestigious journals such as the Review of Economics and Statistics and Games and Economic Behavior . He has also held visiting professorships at institutions including Stanford University, University of Oxford, and NHH Norwegian School of Economics.