جستجوی استاد راهنمای دانشگاهی

Dulce Wilkinson Westbergمشاهده پروفایل

استادیار

• Personality Psychology
• Identity
• Life Narratives
• +۷ مورد دیگر

Dulce Wilkinson Westberg is an Assistant Professor in the Department of Psychology at the University of California, Davis. Her research lies at the intersection of personality, identity, and social structures, with a focus on racially and ethnically diverse populations. She employs both qualitative and quantitative methodologies to explore how systems of power and oppression influence life narratives and psychosocial adjustment. PhD in Social and Personality Psychology, University of California, Riverside (2022) BS in Psychology, University of California, Riverside (2017) Dr. Westberg's research centers on life narratives as internal constructions of identity, examining how race, ethnicity, gender, and social class shape personal meaning-making. She investigates how marginalized individuals navigate structural barriers and how such experiences influence personality development. Her work emphasizes intersectionality and the cultural contexts of identity formation. Her recent publications (2020–2024) reflect a strong focus on narrative identity, ethnic-racial life scripts, identity shifting, and the integration of intersectionality into personality psychology. These works span journals in personality, developmental, and social psychology, highlighting interdisciplinary engagement and methodological diversity. Association for Research in Personality (ARP) – Programming Committee Member (2023) Association for Research in Personality (ARP) – Diversity and Inclusion Committee Member (2020–present) Society for Personality and Social Psychology (SPSP) – Member International Society for Research on Identity (ISRI) – Member Society for Research on Child Development (SRCD) – Member Society for the Study of Emerging Adulthood (SSEA) – Member Dr. Westberg is actively mentoring and building her research program. She is recruiting undergraduate students for qualitative data analysis and accepting applications from prospective graduate students for the 2024–2025 cycle. While no specific grants are mentioned, her active publication record and lab recruitment suggest ongoing research funding and academic momentum. She leads a research lab focused on narrative and identity processes in diverse young adults.

Malgorzata Agnieszka Cyndeckaمشاهده پروفایل

استاد

• EU/EEA Law
• State Aid Law
• Data Protection Law
• +۱۴ مورد دیگر

Malgorzata Agnieszka Cyndecka is a Professor at the Faculty of Law, University of Bergen (UiB) , where she specializes in EU/EEA state aid law and data protection/GDPR. She is affiliated with SLATE (Centre for the Science of Learning & Technology) and serves as a member of the Norwegian Data Protection Board. Since 2019, she has been Associate Editor of the European State Aid Law Quarterly . She also holds an Associate Professor II position at the University of Oslo and contributes to interdisciplinary research on AI, privacy, and education. University: University of Bergen School: Faculty of Law Academic Rank: Professor Email: malgorzata.cyndecka@uib.no Affiliations: SLATE, Norwegian Data Protection Board, Council of Europe Expert Group on AI and Education Her research centers on EU/EEA state aid rules —particularly their application in tax, energy, and education sectors—and data protection law , with a focus on GDPR compliance in AI-driven educational technologies. She has led and contributed to major projects such as the Norwegian Data Protection Authority’s Sandbox for Responsible AI (AVT project), where she provided legal guidance on processing student data, and UiB’s DIGI courses, where she co-developed DIGI113 on Privacy and GDPR. Her work bridges legal theory with practical policy, influencing national and international frameworks on digital rights and public aid. The analysis of her recent publications reveals a strong focus on the evolution of state aid jurisprudence , especially the Market Economy Operator Principle (MEOP), burden of proof in aid cases, and sustainability in public support. Concurrently, her interdisciplinary work explores AI and privacy challenges in education , anonymization of unstructured data under GDPR, and ethical implications of algorithmic decision-making. Her contributions span legal doctrine, policy recommendations, and public commentary. Scientific Awards: European State Aid Law Quarterly PhD Award (2012–2016) for best doctoral dissertation in state aid law Advising and Grants: She supervises master’s students in EU/EEA law, data protection, and GDPR. She has been involved in externally funded projects including the Norwegian Data Protection Authority’s Sandbox for Responsible AI, the ENDO4P project (aimed at personalized endocrinology treatment via EU Horizon funding), and the Clean Up Project (Machine Learning for Anonymisation of Unstructured Personal Data) at the University of Oslo. She has also coordinated collaborations with Media City Bergen for law and technology education. Her teaching includes course leadership in JUS2302, JUS3502, JUS2303, JUS3503, and DIGI113. Labs and Teams: She is a key member of SLATE (Centre for the Science of Learning & Technology) at UiB and participates in multiple research groups including the Research Group for Information and Innovation Law. She contributes to interdisciplinary teams working on digital competence, AI ethics, and data governance in education and health. She is also active in the Academy for Young Researchers (AYF) and leads the EU and EEA Law Issues Committee in the Norwegian branch of the International Commission of Jurists (ICJ).

Lynda Grattonمشاهده پروفایل

استاد

• Corporate culture
• Human resource management strategy
• Organisational change
• +۳ مورد دیگر

Lynda Gratton is a Professor of Management Practice in Organisational Behaviour at London Business School. She directs the globally renowned program 'Human Resource Strategy in Transforming Companies' and teaches a highly popular elective on the Future of Work, for which she received the 'Excellence in Teaching' award in 2016. She has led the Future of Work Consortium for over a decade, facilitating collaboration among executives from 60+ companies via a bespoke platform. Her research explores the intersection of people and organizations, with key interests in: Corporate culture and organizational learning Strategic management and HR strategy Organisational change dynamics Future of work innovation and hybrid models Longevity's societal impacts Her recent publications demonstrate a consistent focus on workplace evolution, particularly analyzing hybrid work models, AI's human implications, and leadership during disruption. Articles frequently address resilience, technological adaptation, and redefining organizational structures for an uncertain future. Awards & Honors: Thinkers 50 Top 15 Global Thinker Warren Bennis Best Article (2022) CMI Management Book of the Year (2015) FT Business Book shortlist (2017) Tata Prize (India), NAHR Fellowship (US), HR Prize (Australia) She advises global institutions including the World Economic Forum (where she co-chaired the Council on Work, Wages and Job Creation) and served on Japanese Prime Minister Abe's advisory board. She currently contributes to MIT Sloan Management Review and The Times of London. Through the Future of Work Consortium, she leads a major initiative connecting executives worldwide to address workforce transformation challenges, emphasizing collaborative innovation.

Matteo Montecchiمشاهده پروفایل

مدرس ارشد

• Consumer Behaviour
• Digital Marketing
• Artificial Intelligence in Marketing
• +۱۲ مورد دیگر

Dr. Matteo Montecchi is a Senior Lecturer (Associate Professor) in Marketing at King’s Business School, King’s College London, where he also serves as Theme Lead for Sustainable Consumption at the Centre for Sustainable Business and Programme Director for the Strategic Marketing (Open Executive) programme. He teaches core modules such as Consumer Behaviour, Digital Marketing, and Research Methods, and leads executive education initiatives. Previously, he was a Senior Lecturer at the London College of Fashion, University of the Arts London, and has held visiting positions at Milan Politecnico, Università Cattolica del Sacro Cuore, and Università Federico II. Montecchi earned his PhD in Marketing from King’s College London, an MRes in Marketing from Birkbeck College, an Executive Master in Marketing and Sales from SDA Bocconi and ESADE, and a Bachelor’s in Business Economics from the University of Modena and Reggio Emilia. He also holds a PgCert in Academic Practice and is a Fellow of the Higher Education Academy (FHEA). His research focuses on the digital transformation of marketing, particularly the role of artificial intelligence and blockchain in enhancing transparency and trust. He investigates ethical engagement with diverse consumer groups, inclusion, and corporate responsibility, with a special interest in marginalized communities. His work integrates consumer behavior, digital interactions, and decision-making with technological innovation, offering actionable insights for sustainable and responsible business strategies. The most recent 15 publications reflect a strong trend in AI in retail, brand transparency, consumer trust, ethical data use, voice technologies, and social sustainability. His research spans journals in marketing, psychology, interactive marketing, and business ethics, demonstrating interdisciplinary impact. Scientific Awards: KingsCAT: Capture and Analysis Tool for Social Media Research at King’s College London (2024) – Recognized as part of a collaborative team for advancing digital research infrastructure and media analysis. Montecchi is actively involved in PhD supervision and is accepting new students. He has led research projects using social media analytics (KingsCAT) and has contributed to strategic debates on grand challenges in marketing. His work connects academic research with real-world managerial applications, particularly in digital strategy and ethical innovation. He is a key contributor to interdisciplinary research through tools like KingsCAT, which supports collaborative social media analysis, and his publications often involve co-authorship with experts in data science, psychology, and organizational behavior.

Xiaoning Qianمشاهده پروفایل

استاد

• machine learning
• Bayesian methods
• optimal experimental design
• +۵ مورد دیگر

Xiaoning Qian is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, where he also serves on the Faculty Advisory Committee for the Texas A&M Institute of Data Science (TAMIDS) and the Executive Committee for the Texas A&M TRIPODS Research Institute for Foundations of Interdisciplinary Data Science (FIDS). He holds a joint appointment in the Applied Math group within the Computational Science Initiative at Brookhaven National Laboratory (BNL). Previously, he was an Associate Professor (2018-2022) and Assistant Professor (2013-2018) at Texas A&M, and an Assistant Professor in the Department of Computer Science and Engineering at the University of South Florida (2009-2013). Dr. Qian received his B.S.E. and M.S.E. degrees from Shanghai Jiaotong University, China, and his M.Ph. and Ph.D. degrees in Electrical Engineering from Yale University. Dr. Qian's research focuses on developing mathematical models and computational algorithms in signal processing, machine learning, and Bayesian methods, particularly in learning, uncertainty quantification, and experimental design. His work spans multiple disciplines, with applications in life sciences and materials science. His research group, the Biomedical Imaging, Sensing, and Genomic Signal Processing Group, actively applies probabilistic models and optimization algorithms to solve complex problems in interdisciplinary domains. His research has evolved from foundational work in bioinformatics and biomedical image processing to more recent applications in materials science and broader AI for science initiatives. Dr. Qian has received numerous scientific awards and recognitions including: National Science Foundation (NSF) CAREER Award Segers Family Dean's Excellence Professorship II in the College of Engineering TEES (Texas A&M Engineering Experiment Station) Senior Faculty Fellow Montague-Center for Teaching Excellence Scholar J. T. Oden Faculty Fellow at the University of Texas, Austin Finalist of the 2023 INFORMS QSR Best Paper Faculty Impact Fellow from the Department of Electrical & Computer Engineering As an advisor , Dr. Qian has mentored numerous graduate students through their PhD and MS programs, with many of his alumni securing positions at prestigious institutions and companies including NIH/NCBI, Microsoft, Baidu Research Lab, and Qualcomm. His research has been supported by multiple grants, including an NSF CAREER award and collaborative research funding from the Information Integration and Informatics program. He is actively recruiting postdoc and graduate student research assistants for projects in machine learning and optimization methods with applications in bioinformatics and materials science. Dr. Qian is involved with several research initiatives including the Objective-Based Uncertainty Quantification (ObjectiveUQ) project, which provides a mathematical framework for integrating prior knowledge and data while enabling effective operational and experimental design under uncertainty. He also co-organizes the Bio-Seminar series for the Biomedical Imaging, Sensing & Genomic Signal Processing group at Texas A&M.

Brad Nakamuraمشاهده پروفایل

استاد

• Evidence-Based Practice Implementation
• Youth Mental Health Services
• Developmental Psychopathology
• +۳ مورد دیگر

Dr. Brad Nakamura is Professor and Director of the Center for Cognitive Behavioral Therapy (C-CCBT) at the University of Hawai‘i at Mānoa. With over 15 years of continuous service to the university, he focuses on improving youth mental health through integration of scientific research with community practice. His career demonstrates strong commitment to Hawai‘i's youth mental health systems. PhD in Clinical Psychology (2007) MA in Psychology (2004) BA in Psychology (2000) His research program addresses two key areas: 1) dissemination and implementation of evidence-based practices (EBPs) in youth mental health services, and 2) developmental psychopathology of anxiety disorders in children and adolescents. Recent publications focus on strength-based assessment tools like SEEDS, Ohio Scales validation, and implementation strategies for EBPs in public mental health systems. Current research trends show particular attention to: Telehealth adaptation and telepresence optimization Measurement feedback systems in schools Implementation context analysis Strengths-based assessment development Community-academic partnerships Cultural adaptation of mental health tools Dr. Nakamura actively advises trainees and leads multiple funded initiatives including: $582,550 (2024-2025) Hawaii Department of Education contract $1,757,063 (2024-2025) Department of Health grant Long-running Faculty Travel Fund recipient He serves as principal investigator for statewide mental health assessment and training programs, and co-investigator for psychological assessment training initiatives. His lab collaborates with the Center for Cognitive Behavior Therapy to develop practice element frameworks and implementation ontologies that standardize youth mental health care delivery across Hawaii.

• Political Psychology
• Public Opinion
• Political Behavior
• +۵ مورد دیگر

John G. Bullock is a Professor in the Department of Political Science at Northwestern University. His research focuses on political psychology, public opinion, and methodological issues in political science. He teaches courses including Introduction to American Politics (undergraduate lecture), Political Behavior (graduate seminar), Political Psychology (undergraduate lecture), Public Opinion and Representation in the United States (undergraduate seminar), and Quantitative Causal Inference (graduate seminar). Dr. Bullock's research interests span several interconnected domains: Political Psychology : Examining how partisanship affects factual beliefs and political decision-making Public Opinion : Studying political knowledge measurement, the influence of elite cues, and attitudes toward redistribution Methodology : Developing rigorous approaches to mediation analysis, survey design, and causal inference Political Behavior : Investigating how voters process information and respond to party cues His publication record demonstrates a consistent focus on methodological rigor, particularly in survey design and causal inference. Bullock has made significant contributions to understanding partisan bias in factual beliefs (showing such differences may be more illusory than real), the measurement of political knowledge (demonstrating how response options affect knowledge estimates), and the challenges of mediation analysis (arguing conventional approaches are fundamentally flawed). His recent work has expanded to examine leadership competence in government, particularly through his analysis of the U.S. response to the COVID-19 pandemic. Dr. Bullock maintains an active scholarly presence through his personal website and GitHub profile, where he shares academic tools including R packages and LaTeX classes. His work appears consistently in top political science journals including the American Political Science Review, Journal of Politics, and British Journal of Political Science.

J. Gregory Behleمشاهده پروفایل

استاد

• History of Higher Education
• Christian Higher Education
• History of Land-Grant Colleges
• +۳ مورد دیگر

Dr. J. Gregory Behle serves as Professor of Christian Education at The Master's University, where he has earned the institution's "Professor of the Year" Award five times. He additionally contributes as an adjunct professor at the University of Southern California and Biola University while consulting on doctoral committees nationwide. His academic credentials include a B.A. from Biola University, Th.M. from Dallas Theological Seminary, and Ph.D. from the University of Southern California. Dr. Behle's research pioneers the historical, philosophical, and social dimensions of higher education systems. He specializes in the early development of the University of Illinois, land-grant college historiography, and U.S. military academy evolution, with significant analysis of religion's intersection with academic culture. His methodological rigor has established foundational insights into Christian higher education traditions and collegiate community formation. His scholarly impact spans publications in History of Education Quarterly , Christian Higher Education , Journal of the Illinois State Historical Society , and History of Higher Education Annual . Major recognitions include: Five-time recipient of The Master’s University Professor of the Year Award Election to Phi Delta Kappa International Honor Society for Education As Director of TMU's IBEX program and short-term field instructor, Dr. Behle integrates experiential learning with academic rigor. His grant-writing expertise supports institutional initiatives while his service on doctoral committees at multiple universities advances graduate scholarship. He extends his educational mission through Whitefields Ministries, serving on its Board of Directors to support global pastoral training. Dr. Behle maintains active community engagement through Chapel City Church in Camarillo, California, where he resides with his wife Kelly (Simi Valley Public Library City Librarian). His personal pursuits include sea kayaking, international travel, culinary arts, and fishing.

Jackson G. Luمشاهده پروفایل

دانشیار

• Cultural Psychology
• Organizational Behavior
• Artificial Intelligence Ethics
• +۳ مورد دیگر

Jackson G. Lu is the General Motors Associate Professor of Management and an Associate Professor of Work and Organization Studies at the MIT Sloan School of Management. His scholarly work bridges cultural psychology with organizational behavior, examining how cultural differences manifest in AI adoption, creativity, and leadership dynamics. He serves as senior editor for Organization Science and Management and Organization Review , and associate editor for Journal of Personality and Social Psychology . Dr. Lu earned his PhD from Columbia Business School in 2018 and received tenure at MIT in 2023. His research has been published in top-tier journals across psychology, management, and general science domains, including Nature Human Behaviour , Psychological Bulletin , and Annual Review of Psychology . His work has garnered over 300 media mentions globally. Cross-Cultural Psychology AI Ethics and Creativity Leadership Emergence Stereotype Research Technological Adoption Workplace Diversity Recent research focuses on cultural tendencies in generative AI , AI's impact on creativity , and structural barriers faced by Asian professionals . He has received numerous accolades from professional societies including the Wegner Theoretical Innovation Prize and multiple Best Senior Editor Awards. 40 Best Business School Professors Under 40 Thinkers50 Radar Class of 2021 Academy of Management Award Outstanding Dissertation Award (2019) SAGE Early Career Award Dr. Lu teaches through MIT Sloan Executive Education's 5-day program Leading the AI-Driven Organization , and his findings have been featured in The New York Times , BBC , and The Economist . His editorial leadership spans multiple journals, reflecting his influence across academic networks.

Nicholas Sheaمشاهده پروفایل

استاد

• Philosophy of Mind
• Philosophy of Psychology
• Cognitive Neuroscience
• +۱۲ مورد دیگر

Professor Nicholas Shea is a philosopher affiliated with the Institute of Philosophy at the University of London. He specializes in interdisciplinary research at the intersection of philosophy of mind, psychology, cognitive neuroscience, and artificial intelligence. His work spans topics like representational content, metacognition, consciousness, and agency across biological and computational systems. Education : BA in Mathematics, MA and PhD in Philosophy (Birkbeck and King’s College London), postdoctoral research at Oxford University. His research integrates empirical findings from cognitive science with philosophical analysis. Recent projects include the ERC-funded Metacognition of Concepts (2016–2021) and collaborations with Oxford University and City University, London. Key publications examine dual-process cognition, conceptual content, and non-genetic inheritance. His work has been cited over 1,073 times, reflecting his influence in philosophy of science and mind. Scientific Awards : European Research Council Consolidator Grant (2016) AHRC Fellowship ('Meaning for the Brain, Meaning for the Person') He has supervised 6 research students and led projects like Mental Health and Justice (Wellcome Trust 2017–2022) and TeleoLogic (2016–2018). Collaborations include work with Chris Frith and institutions across neuroscience and philosophy.

• Industrial Photonics
• Laser Engineering
• Materials Processing
• +۳ مورد دیگر

Professor Bill O'Neill is a Fellow in Engineering at Downing College and holds the Professor of Laser Engineering position at the University of Cambridge. He leads the Centre of Industrial Photonics and focuses on cutting-edge laser-based manufacturing technologies. BSc (Essex) MSc (Essex) MA PhD (Imperial) His research spans high-power laser applications in materials processing, including aerospace alloys, medical alloys, ceramics, and polymers. He investigates ultra-short laser-matter interactions (femtosecond pulses) for thermal-free machining and nanofabrication techniques aimed at developing personal factory systems. Key projects include electron backscattered diffraction analysis (EBSD) validation of material responses and £10M UK research council-funded innovations. Publications highlight advancements in laser microstructuring, x-ray collimation, and cold gas dynamic spray technologies. His work trends toward precision manufacturing, materials science, and photonics applications. As head of the Centre of Industrial Photonics, O'Neill's team explores nanoparticle manipulation for on-demand fabrication of complex products, envisioning a future where desktop printers create micro/nano devices.

Findlay Starkمشاهده پروفایل

استاد

• Criminal Law
• Legal Philosophy
• Jurisprudence
• +۱۲ مورد دیگر

Professor Findlay Stark is a Professor of Criminal Law at the Faculty of Law, University of Cambridge, and a Fellow of Jesus College, Cambridge. His work bridges criminal law doctrine, evidence, and procedural aspects with deep engagement in legal, moral, and political philosophy. His research centers on foundational concepts in criminal law, particularly mens rea , recklessness , negligence , and constructive liability . He has made significant contributions to debates on joint enterprise, accessory liability, and the role of judicial lawmaking in criminal law evolution. His monograph Culpable Carelessness: Recklessness and Negligence in the Criminal Law (2016) is a key scholarly work in the field. He is also a co-author of the authoritative textbook Simester and Sullivan’s Criminal Law: Theory and Doctrine . The recent articles reflect a sustained focus on doctrinal refinement, philosophical underpinnings of liability, and critical analysis of judicial reasoning. Themes include causation, omissions, transferred intent, and the interplay between moral and legal responsibility. His work frequently appears in top journals such as the Cambridge Law Journal , Oxford Journal of Legal Studies , and Modern Law Review , and has been cited by appellate courts internationally. Editorial Board, Cambridge Law Journal Editorial Board, Criminal Law Forum Editorial Board, Criminal Law Review Academic Associate, 23 Essex Street (criminal law chambers) He currently supervises PhD students including James Browning, Anna Peters, Sara Trainor, and Forest Yu, and advises several others. Previous supervisees include Giordana Campagna and Khomotso Moshikaro. He is open to initial inquiries regarding potential research supervision. He is affiliated with the Cambridge Centre for Criminal Justice (CCCJ) , the Cambridge Forum for Legal and Political Philosophy (CFLPP) , and the Criminal Jurisprudence and Philosophy Group (CrimJur) , reflecting his interdisciplinary approach.

Yuzhe Yangمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Healthcare Technology
• +۳ مورد دیگر

Yuzhe Yang is an Assistant Professor of Computational Medicine and Computer Science at UCLA, with a visiting research scientist role at Google Health. He holds a PhD in Computer Science from MIT (2024), advised by Dina Katabi, and a B.S. with honors from Peking University. Research Focus: Machine learning for healthcare, medical AI fairness, and AI-driven biomedical discovery Key Contributions: Ten Notable Advances (Nature Medicine) and Ten Crucial Advances (The Lancet Neurology) His lab develops Trustworthy Learning Algorithms and Generalist Health Models that integrate Multimodal Data for personalized health coaching. Notable projects include AI-based Parkinson's Disease Biomarkers via nocturnal breathing and Foundation Models for Equitable Medicine . Recent publications at ICLR 2025 (wearable foundation models), Nature Medicine 2024 (medical AI fairness), and Science Advances 2025 (vision-language medical bias) highlight his interdisciplinary work. He serves on ML4H workshops and reviews for top conferences like NeurIPS and ICML. Awards include Forbes 30 Under 30 , Takeda Fellowship , and Baidu PhD Fellowship . Advising opportunities: Recruiting PhD students (CS/CompMed) and postdocs in AI for health. Lab: Health Intelligence Lab (HAIL)

• Pharmacogenetics
• Clinical Pharmacology
• Personalized Medicine
• +۴ مورد دیگر

Dr. Vera Deneer is an Associate Professor of Clinical Pharmacology at the Utrecht Institute for Pharmaceutical Research (UIPS) within the Faculty of Science at Utrecht University, specializing in the Division of Pharmacoepidemiology and Clinical Pharmacology since 2019. She also serves as a hospital pharmacist and clinical pharmacologist at the University Medical Center Utrecht (UMC Utrecht) at the Department of Clinical Pharmacy since 2017. Dr. Deneer holds significant leadership positions including Vice-Chair of the Medicines Evaluation Board (MEB-CBG) since 2019 and Chair of the Dutch Pharmacogenetics Working Group (DPWG). Dr. Deneer received her PharmD from Utrecht University in 1991 and her PhD from Groningen University in 2003, with research focused on clinical pharmacology and pharmacokinetics of antiarrhythmic drugs in atrial fibrillation. She completed clinical training in hospital pharmacy in 1994 and clinical pharmacology training in 1998. Prior to her current positions, she served as Head of the Pharmacogenetics, Pharmaceutical and Toxicological Laboratory at St. Antonius Hospital, Nieuwegein/Utrecht from 1998 to 2017. Her research focuses on personalized medicine through the study of biomarkers including genetic variants, patient characteristics, and clinical parameters to optimize drug treatment efficacy and safety. Her work primarily targets cardiovascular disease, lung cancer, and immune-mediated inflammatory diseases. She also investigates clinical reasoning and decision-making by pharmacists to improve medication management in clinical practice. Dr. Deneer serves as principal investigator for multiple research projects funded by The Netherlands Organisation for Health Research and Development. Dr. Deneer's recent publications demonstrate her leadership in pharmacogenetics guidelines development, with numerous Dutch Pharmacogenetics Working Group (DPWG) guidelines published in 2023-2025 covering gene-drug interactions for various medication classes including antidepressants, antipsychotics, anti-epileptics, and cardiovascular medications. Her work spans both clinical implementation research and educational aspects of pharmacy practice. Among her significant appointments, Dr. Deneer serves as Vice-Chair of the Medicines Evaluation Board (MEB-CBG) and Chair of the Dutch Pharmacogenetics Working Group (DPWG). She previously chaired a medical research ethics committee from 2012-2017 and serves on multiple national and hospital committees related to pharmacotherapy and drug safety. Dr. Deneer has been actively involved in mentoring pharmacy students and professionals, with recent publications focusing on clinical decision-making education for pharmacists. Her work bridges the gap between pharmacogenetic research and clinical implementation, with particular emphasis on optimizing drug treatment strategies for individual patients while minimizing adverse drug reactions.

• Sociology
• Consumer Behavior
• Food Culture
• +۵ مورد دیگر

Annechen Bahr Bugge is a sociologist and Researcher I at Consumption Research Norway (SIFO), Oslo Metropolitan University. Her work focuses on food culture, culinary heritage, and sustainable consumption patterns, with particular emphasis on Norwegian dietary traditions and their evolution from the 16th century to present day. PhD in Sociology (2005) from Norwegian University of Science and Technology (NTNU) Current leader of FoodStories project (2025-2028) examining Norwegian food heritage Previously led FoodLessons project (2021-2024) connecting culinary history with future food development Her research explores: dietary transitions, plant-based diets, food policy interventions, and the sociocultural dimensions of food consumption. She has published extensively on Norwegian food culture, including the book Fattigmenn, tilslørte bondepiker og rike riddere (2019) and upcoming Food Cultures of Norway: Cuisines, Customs, and Issues (2025, co-authored with Henry Notaker). Recent publications focus on: food heritage revitalization, sustainable diets, retail interventions for healthier choices, and digital marketing influences on youth consumption patterns. Her work combines historical analysis with contemporary food challenges to inform future sustainable food systems. For a complete overview of her research and publications, see her Cristin profile: Cristin Profile