جست‌وجوی استاد و پژوهشگر

Haiyan Leeمشاهده پروفایل

استاد

• Modern Chinese literature
• Chinese popular culture
• philosophy and literature
• +۹ مورد دیگر

Haiyan Lee serves as the Walter A. Haas Professor of the Humanities and Professor of East Asian Languages and Cultures and of Comparative Literature at Stanford University. She has held these positions since joining Stanford in 2009, and currently serves as Chair of the East Asian Languages and Cultures department (2020-present). Her academic journey includes previous teaching appointments at the University of Colorado at Boulder and the University of Hong Kong, along with post-doctoral fellowships at Cornell University and Harvard University. Lee's research spans multiple interdisciplinary fields with particular focus on modern Chinese literature and cultural production. Her work bridges literary studies with law, philosophy, cognitive science, affect theory, gender studies, and environmental humanities. She has developed influential theoretical frameworks including the concept of "high justice" and "low justice" in Chinese legal imagination. Her current research explores animism, cognition, and the Chinese environmental imagination, extending her longstanding interest in human-animal relations. Lee's publications reveal a consistent trajectory examining Chinese cultural production through innovative theoretical lenses. Her recent work shows increasing engagement with legal theory, environmental humanities, and cognitive approaches to literature. She has produced significant scholarship on Chinese concepts of justice, love, and the stranger, moving across historical periods from early 20th century to contemporary China. Biennial Book Prize, Honorable Mention, International Society for Chinese Law and History (ISCLH) (2024) Humanities Seed Grant, Stanford School of Humanities and Sciences (2023-2025) Bass Fellowship in Undergraduate Education, Stanford University (2022-2027) Joseph Levenson Book Prize, The Association for Asian Studies (2009) Professor Lee actively mentors doctoral students across multiple disciplines, serving as dissertation advisor, co-advisor, and committee member for students working at the intersection of Chinese studies, law, literature, and cultural theory. Her teaching includes courses across East Asian humanities, comparative literature, and interdisciplinary environmental studies. She has received significant research support including the Frederick Burkhardt Residential Fellowship from the American Council of Learned Societies and a residency at the Center for Advanced Study in the Behavioral Sciences.

Esther Dufloمشاهده پروفایل

استاد

• Development Economics
• Poverty Alleviation
• Health
• +۷ مورد دیگر

Esther Duflo is the Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics at the Massachusetts Institute of Technology (MIT). She is also co-founder and co-director of the Abdul Latif Jameel Poverty Action Lab (J-PAL), holds the Chaire, Pauvreté et politiques publiques at the Collège de France, and serves as President of the Paris School of Economics. Her research focuses on understanding the economic lives of people living in poverty to help design and evaluate social policies. Her work spans multiple domains including: Development Economics Poverty Alleviation strategies Health interventions Educational programs Financial inclusion initiatives Environmental policy Governance improvements Duflo revolutionized developmental economics by pioneering the use of randomized controlled trials to test poverty reduction measures. Her empirical approach has challenged conventional opinions about development and has helped improve the efficient use of resources in poverty alleviation programs worldwide. She co-authored the influential books "Poor Economics" and "Good Economics for Hard Times" with Abhijit Banerjee, demonstrating through field experiments how specific interventions (like providing lentils to mothers for child immunization) can dramatically improve social outcomes. Her notable scientific achievements include: Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel (2019) Princess of Asturias Award for Social Sciences (2015) Infosys Prize (2014) John Bates Clark Medal (2010) MacArthur "Genius Grant" Fellowship (2009) A.SK Social Science Award (2015) Duflo has established J-PAL as a global network of over a hundred affiliated professors who use scientific evidence to inform policy decisions in the fight against poverty. J-PAL has offices across Africa, Europe, Latin America and the Caribbean, North America, and South and Southeast Asia. Her work has demonstrated the crucial importance of information in policymaking, with numerous field experiments showing how carefully designed interventions can have significant impacts on social outcomes across multiple domains including health, education, and economic opportunity.

Romain Lopezمشاهده پروفایل

استادیار

• Single-cell omics
• Spatial transcriptomics
• Deep generative models
• +۵ مورد دیگر

Romain Lopez is an Assistant Professor of Computer Science and Biology at New York University, with a joint appointment in the Courant Institute of Mathematical Sciences and the Department of Biology. He will be joining NYU in September 2025, bringing expertise at the intersection of machine learning and computational biology. Prior to joining NYU, he was a Postdoctoral Fellow at Genentech and Stanford Medicine from 2021 to 2025, working with Jonathan Pritchard and Aviv Regev. Dr. Lopez received his educational training at prestigious institutions: PhD in Computer Science (2021) from the University of California, Berkeley, advised by Mike Jordan and Nir Yosef M.S. in Applied Mathematics (2016) from École polytechnique, Palaiseau, France Dr. Lopez's research focuses on developing machine learning methods to understand biological systems at the cellular level. His work bridges computational techniques with biological applications, particularly in single-cell and spatial omics analysis. He pioneered probabilistic approaches for single-cell analysis with scVI and co-developed scvi-tools, now widely adopted tools in the field. His research spans deep generative models, causal inference, perturbation modeling, and representation learning for biological data. His publication record demonstrates a consistent trajectory of innovation in computational biology, with recent work focusing on spatial biology, disentangled representations of cellular perturbations, and causal modeling of cellular responses. He has made significant contributions to the field of single-cell analysis, developing methods that help scientists interpret complex cellular data and predict how cells respond to various perturbations. Dr. Lopez has received numerous honors and awards for his research: Best Paper Award from the ICML Workshop on AI for Science (2024) Best Paper Award Honorable Mention from the AAAI Conference on Artificial Intelligence (2021) Best Student Poster Award from the ICML Workshop on Computational Biology (2019) UC Berkeley EECS Departmental Graduate Fellowship (2016) Carnot Foundation Fellowship (2016) Monahan Foundation Fellowship (2016) French National Defence Medal, Bronze Echelon (2014) At NYU, Dr. Lopez will lead the Biological Machine Learning group, which develops probabilistic machine learning methods to uncover biological mechanisms governing cellular behavior and disease. His lab focuses on creating tools that transform complex cellular data into biological insights, with applications in understanding cancer, immune responses, and fundamental cellular processes. His work has significant implications for precision medicine and drug discovery.

Anca Draganمشاهده پروفایل

دانشیار

• Human-AI Interaction
• Human-Robot Interaction
• AI Safety and Alignment
• +۵ مورد دیگر

Anca Dragan is an Associate Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, where she runs the InterACT Lab focused on algorithms for human-AI and human-robot interaction. Currently on leave from Berkeley, she leads AI Safety and Alignment at Google DeepMind, overseeing safety for Gemini models and preparing for future advancements. Dragan has been a co-PI of the Center for Human-Compatible AI and served on the steering committee for the Berkeley AI Research (BAIR) Lab. B.Sc. in Computer Science from Jacobs University Bremen, Germany Ph.D. from Carnegie Mellon University Dr. Dragan's research focuses on enabling AI agents to work effectively with, around, and in support of people. Her work bridges robotics, machine learning, and game theory to create systems that better understand human preferences and coordinate with users. Key areas include AI alignment (ensuring AI does what people actually want), learning reward functions from diverse human feedback forms, and developing algorithms for human-AI collaboration across domains like autonomous vehicles, brain-machine interfaces, and recommender systems. Her research emphasizes maintaining uncertainty about human preferences and accounting for the plurality of human values. Dr. Dragan's recent publications reveal a strong focus on addressing fundamental challenges in AI safety and alignment. Her work spans theoretical foundations of reward learning, practical implementations for human-AI coordination, and critical examinations of limitations in current approaches. There's a clear trajectory toward more robust, safe, and value-aligned AI systems that can handle complex human preferences while avoiding both present-day harms and potential catastrophic risks. IEEE RAS Early Academic Career Award in Robotics and Automation (2021) McEntyre Award for Excellence in Teaching (2020) PECASE (Presidential Early Career Award for Science and Engineering) (2019) Sloan Fellowship (2018) NSF CAREER Award (2017) Okawa Foundation Award (2017) MIT Tech Review 35 Innovators Under 35 (2017) Multiple best paper awards at top robotics and AI conferences Dr. Dragan has mentored numerous successful students who have gone on to faculty positions at MIT, Stanford, CMU, and Princeton, as well as industry roles at DeepMind, Waymo, and Meta. Her advising philosophy emphasizes both technical rigor and consideration of broader societal impacts. She has secured significant research funding including NSF CAREER, ONR Young Investigator, and Okawa Foundation awards, supporting work on human-AI interaction and alignment. Dragan has also consulted for Waymo for six years, helping develop roadmaps for deploying increasingly learning-based safety-critical systems. Dr. Dragan leads the InterACT Lab at UC Berkeley, which has produced influential work on Cooperative Inverse Reinforcement Learning, Inverse Reward Design, and other foundational concepts in human-AI interaction. The lab's research has significantly shaped the field of AI alignment, with applications spanning autonomous vehicles that coordinate with human drivers, brain-machine interfaces that adapt to user needs, and language models that better understand human preferences. Current work focuses on scaling safety approaches as AI capabilities advance, ensuring alignment keeps pace with technological progress.

• Strategy
• Management
• Organisational Behaviour
• +۱۰ مورد دیگر

Sam Yam is a Professor and Head of the Management & Organisation Department at the National University of Singapore's (NUS) Business School. He holds the Jardine Cycle & Carriage Professorship and serves as Associate Dean. His research spans strategy, organisational behaviour, applied psychology, ethics, and human-technology interaction. Yam has contributed to over 125 publications, focusing on AI ethics, workplace dynamics, and cross-cultural management. He explores topics like robot replacement effects, abusive supervision, and financial anxiety's intergenerational impacts. His work bridges psychology, ethics, and organisational theory, addressing contemporary challenges in automation, leadership, and human-AI collaboration. Appointments: Head of Management & Organisation (2022–present), Joint Appointment in Arts & Social Sciences (2023–present). Key Research Themes: Future of work, human-technology interaction, ethical leadership, and Machiavellian dynamics. Notable Contributions: Multimodal ADHD diagnostics, leader biases toward robot-using employees, and cultural impacts on team performance. Yam’s interdisciplinary approach integrates psychology, technology, and management, addressing societal issues like AI ethics and workplace automation. His research frequently appears in top journals like the Journal of Management and Annual Review of Organizational Psychology .

• Developmental Psychopathology
• Child Anxiety Disorders
• Adolescent Depression
• +۲ مورد دیگر

Jeremy K Fox is Associate Professor of Psychology at Montclair State University's College of Humanities and Social Sciences, where he directs the RECAP (Research on Emotion, Coping and Anxiety in Pediatrics) laboratory. His research examines developmental pathways to childhood anxiety and depression. Education includes: PhD in Clinical Psychology, State University of New York at Albany MA in Psychology, State University of New York at Albany BA in Psychology, Johns Hopkins University Research focuses on temperament-environment interactions, emotion regulation deficits, and school-based interventions. Current work investigates parental influences on anxiety development and peer-supported treatment models for minority youth. Articles demonstrate consistent focus on improving mental health service accessibility. Leads graduate training in clinical psychology and mentors doctoral students in anxiety research. RECAP lab investigates affective mechanisms underlying adolescent distress and develops digital interventions for school settings.

Daniel Adelmanمشاهده پروفایل

استاد

• Business Analytics
• Management Analytics
• Operations Research
• +۵ مورد دیگر

Daniel Adelman is the Charles I. Clough, Jr. Professor of Operations Management at the University of Chicago Booth School of Business. He joined the faculty in 1997 after completing his PhD in industrial engineering and operations research at Georgia Tech. Adelman is a leading expert in Business Analytics and Management Analytics, helping companies deploy data and decision analysis to build world-class strategic and tactical management capabilities. Adelman received his PhD in industrial engineering and operations research in 1997, along with a bachelor's degree in industrial engineering and a master's degree in operations research, all from the School of Industrial and Systems Engineering at the Georgia Institute of Technology. Daniel Adelman's research focuses on applying analytical models to solve complex business problems across multiple industries. He has worked with firms from diverse sectors including internet services, chemical distribution, airlines, third party logistics, fiber-optics manufacturing, semiconductor manufacturing, oil, and healthcare. His research integrates real-world data with analytical models to bring structure and discipline to decision and control processes, enabling firms to achieve higher profits with lower risk. Adelman's recent work has concentrated heavily on healthcare analytics, where he leads the Healthcare Analytics Laboratory at Chicago Booth. This lab works with teams of doctoral and MBA students on projects with major healthcare institutions to optimize clinical, operational, and financial outcomes. His research spans foundational operations research including approximate dynamic programming, inventory theory/supply chain management, and revenue management/pricing optimization, as well as examining the linkage between operational performance metrics and financial performance of firms. Adelman's publications show a clear trend toward increasing focus on healthcare applications while maintaining strong theoretical foundations in operations research. His earlier work focused more on general operations management problems like inventory control and supply chain optimization, while his recent publications demonstrate a strategic shift toward healthcare analytics, particularly examining surgical team dynamics, hospital performance metrics, and resource allocation during public health emergencies like the COVID-19 pandemic. George B. Dantzig Prize (1998) for the best dissertation in operations research and management sciences that is innovative and relevant to practice Adelman regularly advises doctoral and MBA students through the Healthcare Analytics Laboratory at Chicago Booth. He has served as Associate Editor for Management Science, currently serves as Associate Editor for Manufacturing and Service Operations Management, and is the Area Editor for Operations and Supply Chain at Operations Research. His industry collaborations include significant projects with Akamai on internet pricing, with GE Global Research Labs on the electricity smart grid, with BP on gasoline supply contract portfolio optimization, and with Symantec on software release planning. Adelman leads the Healthcare Analytics Laboratory at Chicago Booth, which brings together interdisciplinary teams of doctoral and MBA students to work on a portfolio of projects with major healthcare institutions. The lab focuses on optimizing clinical, operational, and financial outcomes through advanced analytics and decision modeling.

Marina von Keyserlingkمشاهده پروفایل

استاد

• Animal Welfare Science
• Dairy Cattle Welfare
• Farm Animal Behavior
• +۳ مورد دیگر

Marina von Keyserlingk is a Professor in Applied Biology within the Faculty of Land and Food Systems at the University of British Columbia (UBC). She serves as Director of the UBC Dairy Education and Research Centre and leads the renowned UBC Animal Welfare Program, one of the largest and most respected animal welfare science programs globally. Her work has significantly influenced dairy farming practices worldwide, particularly in the areas of dairy cow and calf welfare. Dr. von Keyserlingk's research focuses on animal behavior, housing, and management practices and how these contribute to the health and welfare of dairy cattle. Her work spans multiple dimensions of animal welfare science, including: Dairy cattle behavior and cognition Cow-calf separation practices Pain assessment and management in farm animals Public perceptions of farm animal welfare Alternative dairy farming systems Welfare assessment methodologies Her most recent research examines pain responses in calves, lameness assessment techniques, effects of environmental enrichment on calf cognition, and public attitudes toward dairy farming practices. This work demonstrates a strong trend toward integrating scientific assessment of animal welfare with public values and perceptions, recognizing that sustainable animal agriculture must address both scientific and societal concerns. Dr. von Keyserlingk has received numerous prestigious awards for her contributions to dairy science and animal welfare: Elanco Award for Excellence in Dairy Science (2013) Metacam Bovine Welfare Award (2013) Canadian Animal Industries Award in Extension & Public Service (2012) 26th Annual World Buiatrics Congress Keynote Speaker (2010) She has supervised numerous graduate students, including Dr. Lexis Ly who recently completed her PhD in 2025. Dr. von Keyserlingk also teaches undergraduate courses including "Animals and Society" and "Research Methods in Applied Animal Biology." Her research program has secured significant funding that supports multiple postdoctoral fellows, graduate students, and research staff working within the UBC Animal Welfare Program. The UBC Animal Welfare Program, which she helps lead, is currently recruiting PhD students interested in improving the lives of dairy cattle and the people who care for them. The program continues to be at the forefront of animal welfare science, conducting research that has practical applications for improving animal care worldwide.

• Affective Neuroscience
• Emotion Regulation
• Schizophrenia Spectrum Disorders
• +۴ مورد دیگر

Univ-Prof. Dr. med. Malek Bajbouj serves as Director of the Institute for Affective Neuroscience and Emotion Modulation at Charité – University Medicine Berlin's Campus Benjamin Franklin (CBF), operating within the Department of Neurology, Neurosurgery and Psychiatry (CC 15). His position integrates clinical leadership with translational neuroscience research focused on severe mental illnesses. Dr. Bajbouj's research program centers on affective neuroscience and emotion dysregulation mechanisms in psychiatric disorders, particularly schizophrenia spectrum conditions and depression. He pioneers multimodal intervention approaches combining neuromodulation (tDCS), oxytocin augmentation, mindfulness therapies, and digital health tools. His work emphasizes translational biomarker development using neuroimaging, machine learning, and physiological stress parameter analysis to personalize treatment for treatment-resistant populations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) novel treatment combinations for negative symptoms in schizophrenia (oxytocin + mindfulness, yoga therapy); (2) real-world implementation of neuromodulation (at-home tDCS protocols, technical efficacy monitoring); and (3) global mental health responses to crises (pandemic impacts on vulnerable groups, culturally adapted refugee interventions). His methodology consistently employs rigorous randomized controlled trials with embedded biomarker studies. As director of his eponymous institute, Dr. Bajbouj leads a multidisciplinary team conducting neuroimaging studies, clinical trials, and international collaborations focused on emotion modulation pathways. The institute coordinates research across CC 15's clinical infrastructure at CBF Building V, with particular emphasis on bridging laboratory neuroscience with clinical psychiatry through the DepressionDC and OXYMIND trial frameworks.

Bertrand Schneiderمشاهده پروفایل

دانشیار

• Assessment
• Cognitive Development
• Evidence-Based Intervention
• +۱۰ مورد دیگر

Bertrand Schneider is an Associate Professor of Education at Harvard University's Graduate School of Education (GSE). He holds a Ph.D. in Learning Sciences and Technology Design from Stanford University (2015) and previously served as a postdoctoral researcher at Stanford's Transformative Learning Technologies Laboratory. His research focuses on educational interfaces (e.g., augmented reality, tangible tools) and multimodal learning analytics, particularly in collaborative and informal learning environments. He investigates how technologies like gaze-tracking and motion sensors can assess student learning trajectories and improve instructional strategies in makerspaces and remote teaching contexts. Education : Ph.D., Learning Sciences and Technology Design, Stanford University (2015) Postdoctoral Researcher, Transformative Learning Technologies Laboratory, Stanford University Research Interests : Educational technologies (AR, tangible interfaces, multitouch) Multimodal data analysis (gaze, body movement, speech) Collaborative learning in formal/informal settings Remote teaching strategies using shared gaze visualizations AI applications in personalized feedback and misinformation discernment Key Contributions : Developed methodologies for capturing joint visual attention in collaborative learning Advocated for ethical implementation of multimodal learning analytics Explored AR's dual-edged impact on student engagement and collaboration Labs/Teams : Current research aligns with GSE's focus on innovative learning technologies Prior affiliation with Stanford's Transformative Learning Technologies Lab

Shani Orgadمشاهده پروفایل

استاد

• Gender Studies
• Feminism and Media
• Media Representations
• +۷ مورد دیگر

Professor Shani Orgad is a leading academic in the Department of Media and Communications at the London School of Economics (LSE), where she holds the rank of Professor. Her research focuses on gender, feminism, media representations, and globalization, with notable works exploring motherhood, work-life balance, and the intersection of media with contemporary cultural narratives. Education: Orgad earned a bachelor’s degree in Media and Communications from The Hebrew University in Jerusalem, followed by a Master's and PhD in Media and Communications at LSE. She is renowned for her interdisciplinary approach, blending media studies with ethnographic research and sociocultural analysis. Research Interests: Her work critically examines media discourses around gender, motherhood, and inequality. Key themes include the 'confidence culture' critique, menopause visibility, and the role of media in shaping public perceptions of marginalized groups. She has also explored humanitarian communication and the challenges faced by NGOs in engaging the public. Awards: Orgad has been recognized for her teaching excellence, including the 2019 LSE Teaching Excellence Prize and the 2018 LSE Excellence in Education Award. Her book Confidence Culture (2022), co-authored with Rosalind Gill, challenges neoliberal individualism in modern feminist discourse. Public Engagement: She frequently contributes to public discussions on media and gender through blogs, podcasts, and media commentaries. Her work bridges academic rigor with societal relevance, addressing issues like pandemic resilience, menopause discourse, and the impact of social media on self-perception. Current Projects: During the 2024/25 academic year, Orgad is on research leave, focusing on new projects that continue her exploration of media, gender, and cultural dynamics.

Hyowon Gweonمشاهده پروفایل

دانشیار

• Computational Approaches
• Developmental Approaches
• Education
• +۶ مورد دیگر

Hyowon Gweon is an Associate Professor in the Department of Psychology at Stanford University. As the leader of the Social Learning Lab, her research focuses on how humans learn from others and help others learn, employing interdisciplinary methods including developmental, computational, and neuroimaging approaches. She holds a PhD in Cognitive Science from MIT (2012) and joined Stanford in 2014 after a postdoc at MIT. Her research interests span computational approaches to social learning, developmental psychology, neuroimaging, and education. She has received notable awards such as the APS Janet Spence Award (2020), James S. McDonnell Scholar Award (2018), and Marr Prize (2010). Her work explores topics like counterfactual reasoning, social cognition in infants, and embodied AI benchmarks. Labs/Teams: Social Learning Lab Key Themes: Prosocial behavior, theory of mind, cognitive development, and human-AI interaction. Her recent articles investigate infant gaze behavior, temporal reasoning in children, and strategic communication in preschoolers. Grants and advising details are not explicitly listed in the provided text.

• User-Generated Content Analysis
• Generative AI in Healthcare
• Online Platforms and Decision Making
• +۳ مورد دیگر

Dr. Dicle Yagmur Ozdemir is an Assistant Professor of Business Information Management at the Rotterdam School of Management (RSM), Erasmus University. She joined RSM in September 2023 after earning a PhD in Management Science (Information Systems concentration) from the University of Texas at Dallas, a Master's in Industrial Engineering from Sabanci University, and a Bachelor's in Industrial Engineering from Istanbul Technical University. Her research focuses on user-generated content dynamics in online platforms and the application of generative AI in healthcare. She employs econometric modeling and natural language processing to study how novel information in reviews influences stakeholders' decisions, and designs algorithms to mitigate information overload. In healthcare AI, she experiments with generative AI's impact on patient-provider interactions. Her work has been presented at top conferences including CIST, WITS, ICIS, WCBA, and INFORMS. Key themes in her research include algorithmic fairness in content selection, the psychological effects of AI-driven health advice, and the mediation effects of review novelty on consumer behavior. She has collaborated internationally, with research outputs including 6 works since 2023. Notable contributions address the moderating role of review dissimilarity in credibility assessments and the paradoxical effects of positive/negative review valence in decision contexts.

Wenwu Xuمشاهده پروفایل

دانشیار

• Materials Science
• Nanotechnology
• Mechanical Engineering
• +۶ مورد دیگر

Dr. Wenwu Xu is an Associate Professor in the Department of Mechanical Engineering at San Diego State University (SDSU), affiliated with the College of Engineering. His research focuses on advanced materials science, nanotechnology, and computational modeling of material behavior. He specializes in investigating dislocation dynamics, electric field effects on materials, and the development of novel processing techniques for metallic and ceramic composites. His work spans topics such as hydrogen embrittlement, nanocrystalline material properties, and 3D printing of bioinspired structures. He employs molecular dynamics simulations, atomistic modeling, and experimental validation to study material deformation, sintering mechanisms, and phase stability. Xu’s contributions include pioneering quasi-instantaneous materials processing via high-intensity electrical nano-pulsing and designing recyclable piezoelectric composites for wearable sensors. His research has been published in over 40 peer-reviewed articles since 2007, reflecting a sustained focus on nanoscale material behavior, thermodynamic stability, and industrial applications. While no awards are explicitly listed, his extensive publication record underscores his expertise in materials engineering and computational methods. Dr. Xu’s lab (via mmm.sdsu.edu ) likely explores cutting-edge materials processing and characterization techniques, though specific grants or advising roles are not detailed in the provided text.

Xavier Brussetمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Operations Management
• +۶ مورد دیگر

Xavier Brusset is a Professor in Supply Chain at SKEMA Business School since 2016, where he also serves as Director of the PRISM Research Center since 2017. Previously, he held professorial positions at Toulouse Business School (2015-2016) and ESSCA School of Management (2009-2015), where he was responsible for the Master 2 in Purchasing and Supply Chain Management program. His academic journey includes a PhD in Management Sciences from Université Catholique de Louvain (2010) and a Habilitation à Diriger des Recherches from Université Paris Ouest Nanterre La Défense (2016). His research spans multiple critical areas in supply chain management, with particular focus on supply chain resilience, blockchain applications, weather risk management, and pandemic impacts on supply chains. Brusset has developed innovative approaches to understanding how supply chain partners interact, how information affects their behavior, and how external disruptions like weather anomalies and pandemics impact operational efficiency. His work bridges theoretical models with practical applications, often developing decision-support tools for managers facing complex supply chain challenges. Brusset's publication record shows a clear evolution of research interests, beginning with foundational work on supply chain contracts and information sharing, then expanding to weather risk management, and most recently focusing on pandemic disruptions and blockchain applications. His 15 most recent publications (2018-2025) demonstrate increasing sophistication in modeling complex supply chain phenomena, with particular emphasis on network effects, ripple effects, and multi-echelon optimization under disruption scenarios. Editorial board member of Logistics Research Editor of International Journal of Retail and Distribution Management (2022-2023) Recognized EU expert for CINEA research projects evaluation Organizer of the Colloquium on European Research in Retailing (CERR) Reviewer for multiple top journals including International Journal of Production Economics As an advisor, Brusset has supervised doctoral students including R. Alkhudary (co-director, Université Paris 2 Panthéon-Assas) and V. Capocasale (rapporteur). His professional experience extends beyond academia to include industry roles in financial markets and logistics technology, having co-founded WebLogistix, a platform for sharing logistics information in Argentina. His research has practical applications across multiple sectors, particularly in retail, food supply chains, and manufacturing, where he develops tools to help managers mitigate risks and optimize operations under uncertainty.