جست‌وجوی استاد و پژوهشگر

Christopher Conwayمشاهده پروفایل

دانشیار

• Borderline Personality Disorder
• Clinical Psychology
• Distress Tolerance
• +۶ مورد دیگر

Christopher Conway serves as Associate Professor of Psychology at Fordham University's College of Arts and Sciences, where he directs the Bronx Personality (B-PER) Lab. His research investigates borderline personality disorder, anxiety, depression, and distress tolerance using experience sampling methods and longitudinal designs. The lab examines personality development across key transitions such as romantic breakups and financial strain. 2007 BS in Psychology and Spanish, Duke University 2009 MA in Clinical Psychology, University of California, Los Angeles 2013 PhD in Clinical Psychology, University of California, Los Angeles Conway's work centers on distress tolerance as a protective factor against self-injurious behaviors, momentary personality processes using ecological assessment, and the HiTOP consortium 's dimensional classification of psychopathology. His lab develops quantitative models linking personality dimensions to clinical outcomes, with emphasis on how stressors trigger symptom changes. Recent publications reveal neuroticism's specific association with broadband internalizing symptoms rather than narrowband anxiety or anhedonia. His publications demonstrate consistent focus on transdiagnostic mechanisms and dimensional classification systems . Key trends include validating the HiTOP framework across cultures, examining distress tolerance in substance use contexts across four continents, and developing within-person models of self-injury using registered report methodology. Professional affiliations include: Society for Research on Psychopathology Association for Psychological Science Association for Behavioral and Cognitive Therapies Association for Research in Personality Conway advises multiple graduate students in the B-PER Lab and leads several active studies including MOMENT (Measuring Our Momentary Emotions and Negative Thoughts), DENEM (Daily Experiences of Negative Emotions), and READI (Responses to Emotions And Daily Interactions). His lab participates in the multinational Cross-cultural Addictive Behaviors Study examining distress tolerance across seven countries. All research materials follow open science principles through his OSF repository. The B-PER Lab maintains active research programs examining personality development through: 3-year longitudinal Multiyear Adult Personality Project (MAPP) Cross-cultural Addictive Behaviors Study (CABS) Daily emotion regulation projects using smartphone-based assessments

• stress
• Well-being
• Adult development and aging
• +۱۱ مورد دیگر

Dr. Nancy L. Sin is an Associate Professor in the Department of Psychology within the Faculty of Arts at the University of British Columbia. She teaches undergraduate and graduate courses in health psychology and supervises students at multiple levels. She is Co-Chair of the Antiracism Task Force for the Society for Biopsychosocial Science and Medicine and a member of the Steering Committee at the UBC Edwin S.H. Leong Centre for Healthy Aging. Previously, she served on the Executive Committee for the American Psychological Association's Division on Adult Development and Aging and established the Diversity Mentorship Program. PhD, University of California, Riverside, 2012 Dr. Sin's research focuses on biological and behavioural pathways linking daily well-being and stress to health. Her work demonstrates that emotional responses to daily stressors are associated with inflammatory, neuroendocrine, and autonomic mechanisms implicated in aging-related conditions like cardiovascular disease. She investigates daily positive events as protective factors for stress processes and health, with particular interest in emotional well-being and aging, stress-sleep cycles, and health equity. Her research spans multiple disciplines including health psychology, gerontology, and social psychology. Analysis of Dr. Sin's recent publications reveals consistent focus on daily stress processes, positive emotions, and health outcomes across the lifespan. Her work increasingly examines pandemic-related stressors, social determinants of health, and health disparities, with strong emphasis on methodological rigor through daily diary and longitudinal approaches. The publications demonstrate interdisciplinary collaboration across psychology, public health, and medicine, with growing attention to diversity, equity, and inclusion in health research. Distinguished Alumni Award, Department of Psychology, University of California, Riverside (2025) Fellow, Gerontological Society of America (2025) Innovative Research on Aging Award (Bronze Award) from the Mather Institute (2021) Michael Smith Foundation for Health Research Scholar (2020) Springer Early Career Achievement Award in Research on Adult Development and Aging (2019) Gerontological Society of America's Behavioral and Social Sciences Student Research Award Editor's Choice article at Annals of Behavioral Medicine Dr. Sin actively supervises undergraduate, MA, and PhD students, with a current focus on Health Psychology graduate students specializing in adult development and aging, stress, and health equity/disparities. Her research has been supported by significant grants as PI or Co-I from the U.S. National Institute on Aging, Social Sciences and Humanities Research Council of Canada, Canadian Institutes of Health Research, Canada Foundation for Innovation, and the Michael Smith Foundation for Health Research. She has established a strong research program examining daily experiences and their health implications across adulthood. Dr. Sin directs the UPLIFT Health Lab (Understanding Pathways Linking Inter- and Intraindividual Factors To Health), which explores psychosocial well-being and biobehavioural mechanisms underlying healthy aging. The lab investigates how daily positive events promote health through lower inflammation, adaptive cortisol profiles, and better health behaviors, with particular attention to how positive emotions buffer stress processes. The lab actively recruits community participants for studies on daily experiences and health, contributing to intervention development for promoting psychological and physical well-being across adulthood.

• Medical Physics
• Artificial Intelligence in Medicine
• Radiation Therapy Treatment Planning
• +۷ مورد دیگر

Dan Nguyen, Ph.D., is a faculty member in the Department of Radiation Oncology at UT Southwestern Medical Center, where he is part of the Division of Medical Physics and Engineering. He is a founding member of the Medical Artificial Intelligence and Automation (MAIA) Laboratory, collaborating closely with Dr. Steve Jiang to advance AI applications in radiotherapy. His work focuses on deep learning for treatment planning, dose prediction, auto-segmentation, and adaptive radiotherapy. Ph.D. in Biomedical Physics, University of California, Los Angeles (UCLA), 2017 Mentor: Dr. Ke Sheng Faculty appointment at UT Southwestern since 2017 Dr. Nguyen’s research is centered on applying artificial intelligence to solve critical challenges in radiation oncology. His primary interests include deep learning-based dose prediction, auto-segmentation of anatomical structures, optimization of treatment plans, and real-time adaptive radiotherapy. He has pioneered work in direct aperture optimization, 4π radiotherapy, and uncertainty quantification in AI models. His research bridges the gap between AI innovation and clinical implementation, with a focus on improving plan quality, reducing planning time, and enhancing accessibility for less experienced clinicians. The most recent publications (2023–2025) demonstrate a consistent trend in developing fast, accurate, and robust deep learning models for radiotherapy. Key themes include dose prediction with transfer and meta-learning, adaptive segmentation using test-time optimization, uncertainty assessment in AI predictions, and mathematical modeling of radiotherapy-immunotherapy synergy. These works span high-impact journals in medical physics, AI, and oncology, reflecting interdisciplinary innovation. While no specific scientific awards are listed, Dr. Nguyen’s leadership in the MAIA Lab and extensive publication record in top-tier journals indicate significant recognition in the field of medical physics and AI in medicine. Dr. Nguyen has co-authored numerous studies involving mentoring and collaborative research, particularly with trainees and junior faculty in the MAIA Lab. His work is supported by institutional and likely federal funding, given the scale and scope of AI deployment studies. He has contributed to large-scale collaborative efforts such as OpenKBP-Opt, involving international teams evaluating knowledge-based planning pipelines. The MAIA Laboratory is a multi-investigator research group focused on innovating, developing, and applying artificial intelligence technologies to empower clinicians—especially those with less experience or limited resources—for improved patient care. The lab’s work spans machine learning, deep learning, reinforcement learning, and mathematical modeling in radiation oncology.

Ghassan AlRegibمشاهده پروفایل

استاد

• Machine Learning
• Image and Video Processing
• Computer Vision
• +۷ مورد دیگر

Ghassan AlRegib is the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He directs the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), the Center for Energy and Geo Processing (CeGP), and previously led Georgia Tech's MENA initiatives (2015-2018). His research spans machine learning, image processing, and seismic interpretation with real-world applications in autonomous vehicles, medical imaging, and subsurface analysis. His research focuses on trustworthy AI systems through three pillars: enhancing interpretability, improving robustness/generalizability, and tackling domain-specific challenges. Key interests include human-in-the-loop frameworks, uncertainty quantification, explainable AI, and physics-driven learning. The OLIVES lab pioneered modern machine learning applications in seismic interpretation and developed open-source datasets for geological fault analysis. Dr. AlRegib's scientific contributions include over 270 publications, multiple U.S. patents, and leadership roles as Technical Program co-Chair for ICIP 2020/2024. His work demonstrates significant impact through awards like the IEEE Fellow designation (2022) and multiple best paper awards at premier conferences. IEEE Fellow (2022) 2023 EURASIP Best Paper Award 2019 ICIP Best Paper Award 2017 Denning Faculty Award for Global Engagement CSIP Research & Service Awards (2003) He has advised numerous PhD students including Dr. Ashraf Alattar (now Auburn professor) and Dr. Zhiling Long (Kennesaw State faculty). His lab structure emphasizes collaborative teams comprising postdocs, senior/junior PhD students, and undergraduates working on high-impact problems from autonomous systems to medical diagnostics. Current research thrusts include trustworthy neural networks, human-in-the-loop frameworks, and deployment of machine learning in seismic interpretation and ophthalmology.

Andrew Campanaمشاهده پروفایل

استادیار

• Japanese literature
• Japanese media
• Disability studies
• +۴ مورد دیگر

Andrew Campana is an Assistant Professor of Asian Studies at Cornell University's College of Arts and Sciences, specializing in modern and contemporary Japanese literature and media. His research explores the possibilities and limitations of expression during media transitions, with particular focus on poetry, digital media, and disability studies. His academic journey includes a Ph.D. in East Asian Languages and Civilizations from Harvard University and an Honors B.A. in East Asian Studies from the University of Toronto. Campana's first book, Expanding Verse: Japanese Poetry at the Edge of Media , published by the University of California Press in 2024 as an open access work, examines Japanese poetic practice from the 1920s to the present as poets engaged with evolving media technologies including film, tape recording, television, and the internet. As a researcher, Campana's work bridges literary studies, media studies, game studies, and disability studies, with current projects exploring how poetry became a key site of digital experimentation in Japan. His research methodology combines traditional literary analysis with hands-on creative practice, informed by his experiences at MIT's Trope Tank laboratory. His scholarly interests span Japanese media history, disability representation in literature and gaming, digital poetics, and gender studies. His research has received significant media attention, including features in the Cornell Chronicle ('Poets in Japan Experiment at the Edge of Media' and 'Japanese Poets Open New Ways of Thinking About Media'), The Statesman, and interviews on NPR's Academic Minute and the Curiosity Daily podcast discussing his work on gaming and accessibility. As an educator, Campana teaches courses including 'Introduction to Japan,' 'Japanese Poetry,' and 'The Glitch: Errors, Disability, and the Edges of Digital Media' (ASIAN 4703/6703), guiding students through interdisciplinary explorations of Japanese literature, media, and digital culture. His teaching reflects his commitment to understanding media transitions through both theoretical and practical lenses.

Gabriele de Setaمشاهده پروفایل

پژوهشگر

• Digital ethnography
• Chinese internet culture
• Algorithmic folklore
• +۴ مورد دیگر

Gabriele de Seta is a researcher at the University of Bergen's Department of Linguistic, Literary and Aesthetic Studies, leading the ALGOFOLK project funded by the Trond Mohn Foundation (2024-2028). A sociologist by training with a PhD from Hong Kong Polytechnic University, he previously served as postdoctoral fellow at Academia Sinica (Taipei) and on the ERC-funded Machine Vision in Everyday Life project. Department of Ethnology, Academia Sinica (postdoctoral fellow) Department of Linguistic, Literary and Aesthetic Studies, University of Bergen (researcher) His research focuses on algorithmic folklore, synthetic ethnography, and Chinese digital culture. He examines how digital technologies and creative practices mutually shape each other, particularly in China's sociotechnical landscape. Key areas include platform governance, machine vision, algorithmic accountability, and digital vernaculars. Recent publications analyze TikTok/Douyin's infrastructural role, deepfakes, QR codes as globalized gateways, and Chinese internet vulgarity. His work combines theoretical frameworks from STS, media studies, and digital anthropology with fieldwork on Chinese digital practices. Trond Mohn Foundation Starting Grant ERC-funded research As educator, he designed the Machine Vision module for Bergen's Critical Approaches to Technology and Society course and taught Key Theories in Digital Culture. He supervises multiple MA/PhD students including co-supervision of Hanna Lauvli. Through his blog and podcast, he promotes public engagement with digital research.

• Negotiation
• Behavioral Decision Making
• Ethics in Business
• +۷ مورد دیگر

Max H. Bazerman is the Jesse Isidor Straus Professor of Business Administration at Harvard Business School, specializing in negotiation, decision making, and behavioral ethics. His academic career spans several decades during which he has become a leading authority on how cognitive biases and ethical considerations influence organizational decision processes. Professor Bazerman's primary research interests include negotiation strategies, ethical decision making, judgment heuristics, and bounded awareness. His work explores how individuals and organizations can recognize and overcome cognitive limitations to make more ethical and effective decisions. He has pioneered research on blind spots in ethical judgment, the psychology of complicity, and decision architectures that promote better choices. His publications reveal a consistent focus on practical applications of behavioral science to real-world business challenges. Recent work examines resource allocation during crises, ethical leadership frameworks, and the role of experimentation in improving organizational decision making. The research shows increasing emphasis on systemic ethical failures and how individuals contribute to complicity in unethical behavior. Honorary doctorate from the University of London Life Achievement Award from the Aspen Institute's Business and Society Program Distinguished Educator Award from the Academy of Management Academy of Management Career Award for Scholarly Contributions to Management Lifetime Achievement Award from the Organizational Behavior Division of the Academy of Management Ethisphere's 100 Most Influential in Business Ethics Daily Kos' Heroes recognition for whistleblowing on the Bush Administration's corruption of the RICO Tobacco trial Bazerman has advised numerous organizations including Abbott, Aetna, AIG, Alcoa, Allstate, Amgen, and many others across 30 countries. His work bridges academic research and practical application, with significant influence on how businesses approach ethical decision making and negotiation strategy. He has trained doctoral students who now hold positions at leading business schools worldwide, including Harvard, Wharton, Kellogg, and Stanford.

Linda M. Burtonمشاهده پروفایل

استاد

• Child welfare
• Poverty
• Family processes
• +۴ مورد دیگر

Professor Linda M. Burton is a leading sociologist and ethnographer specializing in child welfare, poverty, and family dynamics. Currently serving as Dean of Berkeley Social Welfare (2019-2024) and holding the Eugene and Rose Kleiner Chair, she previously held the James B. Duke Professorship at Duke University and directed its Center for Child and Family Policy. Education: PhD in Sociology from the University of Southern California Leadership: Dean at Berkeley Social Welfare, Director of Duke's Center for Child and Family Policy, Co-director of Duke's undergraduate International Comparative Studies program Her research integrates life course theory, developmental frameworks, and ecological perspectives to examine: Intergenerational family structures and role transitions Context/place influences on family dynamics Childhood adultification and accelerated life courses Recent publications focus on health disparities, welfare reform impacts, and multi-method ethnographic approaches. Key subfields include poverty, African-American families, rural/urban contexts, racial inequality, and kinship networks. Scientific honors include: 2022 Fellow of the American Academy of Social Work and Social Welfare 2017 Dean’s Excellence in Mentoring Award (Duke University) 1996 American Family Therapy Academy Award for Innovative Contributions Burton's ethnographic work spans decades, with landmark studies like the Three-City Study (2002-2006) and the Family Life Project (2003-2008). She has mentored extensively in child development and multi-generational research.

Bruno Bassoمشاهده پروفایل

استاد

• Food Security
• Plant Resilience
• Agricultural Science
• +۵ مورد دیگر

Bruno Basso serves as the Hannah Distinguished Professor in the Department of Earth & Environmental Sciences at Michigan State University, based in 307A Natural Science Building. He teaches GLG 446: Water and Food and maintains active research in sustainable agricultural systems, with contact via 517-353-9009 or basso@msu.edu. His work bridges academic research with practical farm applications across the US Midwest. His core research interests include: Food Security and Plant Resilience mechanisms Soil Science with emphasis on organic carbon dynamics Precision Agriculture technologies (drones, remote sensing) Climate-Smart Agriculture practices Nitrogen and phosphorus use efficiency Yield stability analysis through spatial-temporal modeling Regenerative agriculture impacts on greenhouse gas emissions Ecosystem services valuation in crop-livestock systems Analysis of his 2023-2025 publications reveals a dominant focus on quantifying climate benefits from regenerative practices using multi-model ensembles. His work consistently addresses scalability for farmer adoption, with strong emphasis on N₂O emissions mapping, soil carbon durability, and yield stability zones. Key methodological innovations include hybrid SAR-remote sensing integration and AI-driven nutrient prescription systems, primarily applied across Midwest corn-soybean systems. No scientific awards were documented in the provided materials. While specific advising details are absent, his leadership in the LTAR cropland common experiment and Soil Inventory Project indicates active mentorship of graduate researchers. His research likely attracts significant USDA and NSF funding given the scale of field experiments and modeling initiatives focused on decarbonizing agriculture. Dr. Basso co-leads the Soil Inventory Project at Kellogg Biological Station, developing integrated sampling, data repository, and modeling frameworks for regenerative agriculture. His team combines ground observations, remote sensing, and biophysical modeling to quantify soil carbon and greenhouse gas fluxes, collaborating with farmers, industry partners, and international researchers to translate science into on-farm practices.

Christopher Howgegoمشاهده پروفایل

استاد

• Numismatics
• Roman History
• Ancient Economic History
• +۳ مورد دیگر

Professor Christopher Howgego is a Research Keeper at the Heberden Coin Room of the Ashmolean Museum and a faculty member at Wolfson College, University of Oxford. He holds degrees MA and DPhil (Oxon) and has been affiliated with the Ashmolean since 1988, serving in roles like Acting Keeper and Keeper before his current position. Academic Background: Joined Ashmolean in 1988; extensive curatorial and leadership roles in numismatic projects. Research Keywords: Roman Numismatics, Coin Hoards, Roman Provincial Coinage, Roman History. His research explores how ancient coinage illuminates historical, economic, and cultural dynamics. He has authored seminal works like Ancient History from Coins and co-edited Coinage and Identity in the Roman Provinces . He focuses on Antonine coinage in Roman Egypt and hoarding patterns, contributing to the Roman Provincial Coinage series and digital initiatives like Roman Provincial Coinage Online . Scientific Awards: Bronze Medal of the Norwegian Numismatic Society Silver Medal of the Norwegian Numismatic Society As a teacher, he lectured on Roman Numismatics until 2022 and supervised 19 doctoral and 10 master’s students. He currently welcomes graduate research on Roman hoards. His roles include directing major numismatic projects and serving on the Scientific Advisory Board of the Austrian Archaeological Institute. Labs/Teams: Leads the Roman Provincial Coinage Online and Coin Hoards of the Roman Empire projects, co-founded with Andrew Wilson. Also contributes to Iron Age Coins in Britain and Celtic Coin Index Digital initiatives.

Elena Karahannaمشاهده پروفایل

استاد

• Artificial Intelligence
• Health Information Technology
• Conversational Agents
• +۶ مورد دیگر

Elena Karahanna is a Professor at the Terry College of Business , University of Georgia. Her research spans Artificial Intelligence , Health Information Technology , and the social and algorithmic implications of digital platforms . PhD in MIS, University of Minnesota (1993) MBA in Business Administration, Lehigh University (1988) BS in Computer Science, Lehigh University (1986) Her work examines how conversational agents and social bots reshape e-commerce and social media, the algorithmic coordination in organizations, and the integration of IT in healthcare systems . She has contributed to foundational theories like the Needs-Affordances-Features (NAF) framework for social media analysis. Recent publications highlight her focus on digital governance (e.g., firm-sponsored online communities), chatbot applications in public health (e.g., pandemic response), and privacy concerns in online social networks. Her research often bridges information systems and marketing (e.g., hyper-privacy and dark web insights). Scientific Awards Terry College of Business Service Award, 2024 INFORMS Information Systems Society President's Service Award, 2023 MIS Quarterly Best Paper Award, 2022 AIS Leo Award for Exceptional Lifetime Contributions, 2020 AIS Fellow, 2012 Karahanna has served as Senior Editor for MIS Quarterly , Information Systems Research , and Journal of AIS . She co-founded the Doctoral Student Corner (2014) and the Senior Scholar Consortium (2004), emphasizing her leadership in academic mentorship. She has taught courses on theory development and business intelligence , and her international teaching includes stints in Hong Kong, Cyprus, Singapore, and Australia .

Anne Burmeisterمشاهده پروفایل

استاد

• Work and Aging
• Age Diversity
• Inclusion
• +۶ مورد دیگر

Professor Anne Burmeister is a full Professor of Organizational Behavior at the University of Cologne, Faculty of Management, Economics, and Social Sciences. She specializes in knowledge transfer, age diversity, inclusion, and interpersonal dynamics in workplaces. Her research bridges organizational psychology with practical applications in aging and diverse teams. Education: PhD in Psychology (summa cum laude), Leuphana University of Lueneburg (2016) MSc in Management and Organizational Analysis, Warwick Business School (2011) BSc in Business Psychology, Leuphana University of Lueneburg (2010) Research Interests: Her work focuses on work and aging, age diversity, inclusion, knowledge transfer, and workplace friendships. She investigates how social interactions influence productivity and organizational health, particularly in multigenerational environments. Recent Trends: Recent publications analyze DEI initiative responses, knowledge sharing dynamics, and interventions for aging workforces. Themes include cognitive load theory, intergenerational collaboration, and ambivalent employee reactions to diversity policies. Scientific Recognition: Awarded 40 leading HR minds 2025 by HR magazine Contact: Email: burmeister@wiso.uni-koeln.de Phone: +49 221-470-5887

Daniel E. Hortonمشاهده پروفایل

دانشیار

• Climate Change
• Atmospheric Science
• Environmental Science
• +۶ مورد دیگر

Daniel E. Horton is an Associate Professor in the Department of Earth, Environmental & Planetary Sciences at Northwestern University's Weinberg College of Arts and Sciences, where he leads the Climate Change Research Group (CCRG). His interdisciplinary work bridges atmospheric science, environmental health, and geoscience through advanced modeling techniques. Education: Ph.D. in Geological Sciences from University of Michigan B.S. in Atmospheric Science from Texas A&M University B.S. in Physics from Tulane University Horton's research spans extreme weather events, near-term societal impacts of climate change, geologic climate evolution, and exoplanet habitability. His group integrates atmospheric, biospheric, cryospheric, hydrospheric, and lithospheric processes using numerical models, environmental observations, and machine learning. Recent work emphasizes environmental justice through neighborhood-scale air quality analysis and transportation electrification impacts. Analysis of his 10 most recent publications (2022-2023) reveals three dominant research thrusts: (1) urban air quality modeling with WRF-CMAQ systems focusing on racial disparities in pollution exposure, (2) transportation electrification impacts on public health and equity, particularly for heavy-duty vehicles, and (3) hydrological extremes including precipitation variability and post-wildfire debris flows. Machine learning applications are increasingly prominent across all research areas. Scientific Awards: NSF CAREER Award (2023) for research on air quality, public health, and equity implications of transportation electrification Horton secured a $600,000 NSF grant supporting both research and educational initiatives, including after-school sustainability programming for Chicago middle schools. His Climate Change Research Group actively recruits graduate students for projects at the intersection of climate science and societal impacts, with strong collaborations across environmental health, urban planning, and engineering disciplines. Current work emphasizes equity-centered climate solutions through fine-scale spatial analysis of pollution and health outcomes.

Michelle CD Bridiمشاهده پروفایل

استادیار

• Neuroscience
• Synaptic Plasticity
• Sleep Research
• +۷ مورد دیگر

Michelle CD Bridi is an Assistant Professor in the Department of Neuroscience at West Virginia University School of Medicine , with a joint affiliation at the Rockefeller Neuroscience Institute . Her research integrates synaptic plasticity , sleep physiology , and neurological conditions to investigate dynamic synaptic regulation under typical and atypical states. Education: BS , McGill University, 2006 PhD , University of Pennsylvania, 2013 Research Focus: The Bridi Lab explores how daily oscillations in excitation/inhibition (E/I) balance are disrupted in Autism Spectrum Disorder (ASD) , aging , and post-stroke states . Current projects address: 1) synaptic adaptation to sleep/wake cycles, 2) E/I imbalance in neurodevelopmental disorders, and 3) molecular mechanisms maintaining neuronal firing rate homeostasis. Publication Trends: Recent work spans REM sleep plasticity , autism models , and neurodegenerative interventions , emphasizing synaptic oscillations , NMDA receptor pathways , and gene therapy applications. Collaborative efforts with Morgan Bridi's lab extend findings to stress and stroke contexts. Grants & Collaborations: Research is funded by NIH/NIGMS , BBRF , and NSF . The lab actively collaborates with cross-institutional teams and is recruiting postdocs and students for ongoing studies.

Yu Lanمشاهده پروفایل

پژوهشگر ارشد

• Spatial Epidemiology
• Health Geography
• Infectious Diseases
• +۳ مورد دیگر

Yu Lan is a Research Fellow at the Yale School of Public Health , specializing in spatial epidemiology and health geography . Her work integrates genomic data (e.g., WGS) with geographic information systems (GIS) to analyze transmission patterns of infectious diseases like COVID-19 and tuberculosis . Education: PhD in Geography, University of North Carolina at Charlotte MA in Geography, University of North Carolina at Charlotte Research Interests focus on space-time disease modeling , infectious disease transmission , and data-driven public health tools . She develops web-based systems for real-time disease surveillance and environmental risk assessment, including tools for private well contamination and urban neighborhood dynamics . Scientific Awards include the SISMID Scholarship (2024) , Student Honors Paper Competition Finalist (2023) , and David Woodward Digital Map Award (2021) . Collaborations include work with the Ted Cohen Lab and researchers like Joshua Warren and Eric Delmelle . Her publications emphasize genomic-spatial integration and cluster detection algorithms for diseases such as tuberculosis and SARS-CoV-2.