جستجوی استاد راهنمای دانشگاهی

Ryan Townleyمشاهده پروفایل

دانشیار

• Alzheimer's Disease
• Dementia with Lewy Bodies
• Normal Pressure Hydrocephalus
• +۵ مورد دیگر

Ryan Townley, MD is an Associate Professor of Neurology at the University of Kansas Medical Center's School of Medicine. He serves as Fellowship Program Director for the Neurology department and is the Medical Director of the Memory Clinic at The University of Kansas Health System. Dr. Townley actively advances Alzheimer's research as co-Principal Investigator of the Alzheimer's Clinical Trials Consortium and leads multiple clinical studies at the University of Kansas Alzheimer's Disease Research Center. Education: BS in Neurobiology, University of Kansas, Lawrence, KS MD, University of Kansas School of Medicine, Kansas City, KS Neurology Residency, Mayo School of Graduate Medical Education, Rochester, MN Cognitive and Behavioral Neurology Fellowship, Mayo School of Graduate Medical Education, Rochester, MN Dr. Townley's research focuses on Alzheimer's disease variants including posterior cortical atrophy and dysexecutive Alzheimer's, dementia with Lewy bodies, normal pressure hydrocephalus, and frontotemporal lobar degeneration. His work combines clinical practice with cutting-edge research to improve diagnosis and treatment of neurodegenerative conditions. He is particularly interested in the intersection of behavioral neurology and neuropsychiatry, leveraging his dual certification in Psychiatry and Neurology to provide comprehensive patient care. Dr. Townley's published research demonstrates a strong focus on neuroimaging techniques for diagnosing and characterizing various dementia subtypes. His work spans from basic neuropathological studies of Alzheimer's disease to clinical trials evaluating new therapeutic approaches. A significant portion of his research examines the heterogeneity of dementia presentations and seeks to refine diagnostic criteria for various neurodegenerative conditions. Scientific Awards: Dewey K. Ziegler Award for Excellence in Neurology American Academy of Neurology's Outstanding Neurology Medical Student Award As Fellowship Program Director, Dr. Townley mentors the next generation of cognitive and behavioral neurologists. He has secured multiple research grants from the National Institute on Aging to investigate Alzheimer's disease and related dementias. His current projects include the AHEAD 3-45 Study, a study evaluating CT1812 for Dementia With Lewy Bodies, and the Alzheimer's Plasma Extension Study, all serving as Site Principal Investigator. Dr. Townley is actively involved with the University of Kansas Alzheimer's Disease Research Center, contributing to both clinical care and research initiatives. He serves on the Clinical Education Task Force of the Lewy Body Disease Association and is a member of the International Society to Advance Alzheimer's Research and Treatment, demonstrating his commitment to advancing knowledge and care for patients with neurodegenerative conditions.

Peter G. Mezoمشاهده پروفایل

دانشیار

• Self-Management
• Self-Regulation
• Coping Mechanisms
• +۵ مورد دیگر

Peter G. Mezo is an Associate Professor, Associate Chair, and Undergraduate Coordinator in the Department of Psychology within the College of Arts and Letters at the University of Toledo. He holds a Ph.D. from the University of Hawaii (2005) and maintains an active research program focused on self-regulation processes. His primary research interests include self-management and related models of self-regulation and coping, factors associated with stress and depression among adults, and principles of evidence-based supervision, assessment, and treatment. Dr. Mezo directs the Adaptive Regulation and Coping Lab and the Anxiety and Stress Lab, where he investigates how individuals regulate their emotions and cope with psychological distress. His publication record spans over 40 works from 2003-2023, with recent emphasis on character strengths as predictors of anxiety, age disparities in mental health during the pandemic, and schizophrenia-spectrum specificity of schizotypy measures. His research demonstrates a consistent focus on understanding the mechanisms of self-regulation across various psychological conditions and populations. Dr. Mezo collaborates extensively with researchers including Sarah E. Francis, Mojisola F. Tiamiyu, Wesley A. Bullock, and Jon D. Elhai. His work appears in journals spanning clinical psychology, psychopathology, behavioral assessment, and mental health. He serves as Undergraduate Coordinator for the Psychology Department and teaches courses related to clinical psychology. His contact information includes office UH 1880A and email peter.mezo@utoledo.edu.

• Vegetable Breeding
• Plant Biotechnology
• Molecular Marker-Assisted Selection
• +۳ مورد دیگر

Ayşe Nur Şavkan serves as Assistant Professor in the Department of Horticulture at Kırşehir Ahi Evran University's Faculty of Agriculture since 2025, following her tenure as Lecturer (2020-2025) at the same institution. Her academic foundation includes a PhD (2018-2023), MSc (2015-2018), and BSc (2011-2015) in Horticulture from Selçuk University, establishing her expertise in vegetable crop improvement. Her educational qualifications: PhD in Horticulture, Selçuk University (2018-2023) MSc in Horticulture, Selçuk University (2015-2018) BSc in Horticulture, Selçuk University (2011-2015) Dr. Şavkan's research integrates molecular biotechnology with traditional breeding to enhance vegetable crops' resilience. She specializes in developing stress-tolerant genotypes through molecular marker-assisted selection, with particular emphasis on salinity and cold tolerance in peppers and squash. Her work bridges laboratory techniques with field applications to address climate-related agricultural challenges, focusing on both morphological characterization and physiological mechanisms of stress adaptation. Analysis of her 14 publications (2020-2025) reveals consistent thematic progression in vegetable breeding. Early work established foundational knowledge in dihaploidization techniques for squash, while recent studies demonstrate sophisticated integration of machine learning for germination analysis and molecular screening for dual virus resistance in peppers. Her research trajectory shows increasing methodological complexity—from basic morphological characterization to multi-omics approaches—while maintaining focus on practical crop improvement for Turkish agriculture. Dr. Şavkan has not received documented scientific awards to date. Her research leadership is evidenced through principal investigatorship of a current Kırşehir Ahi Evran University project (2025-2026) investigating low-temperature pepper germination using machine learning. As co-investigator, she has contributed to nine additional projects including TÜBİTAK-funded initiatives on salt-tolerant pepper development and virus-resistant vegetable breeding, demonstrating sustained research productivity. She operates within a robust collaborative network centered at Kırşehir Ahi Evran University, with particularly strong partnerships with Önder Türkmen (13 joint publications) and Ayşe Çandar (7 collaborations). This interdisciplinary team combines expertise in molecular biology, plant physiology, and field horticulture to address complex agricultural challenges through integrated research approaches.

Vanessa Aguiar-Pulidoمشاهده پروفایل

استادیار

• Bioinformatics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Dr. Vanessa Aguiar-Pulido is an Assistant Professor in the Computer Science department within the College of Arts and Sciences at the University of Miami. Her research focuses on the intersection of computer science and biomedical sciences, specifically developing computational tools to address challenges in genetic disorders and precision medicine. Her research interests include: Bioinformatics and computational genomics Machine learning and artificial intelligence applications in healthcare Big data analytics for genetic disorders Neural tube defects and spina bifida research Epigenetics and omics data integration Development of algorithms for candidate gene analysis Dr. Aguiar-Pulido's recent publications demonstrate a strong trend toward applying advanced machine learning techniques to understand genetic disorders, particularly neural tube defects and autism spectrum disorder. Her work frequently involves developing novel computational approaches that integrate multiple data types to identify genetic risk factors and biological pathways. A significant portion of her research focuses on spina bifida and epilepsy-related genetic analysis, showing consistent thematic focus in her scholarly output. Her scientific contributions include: Development of RExPRT, a machine learning tool for predicting pathogenicity of tandem repeat loci Creation of EpiPred, a gene-specific model for classifying missense variants in epilepsy-related genes Innovative approaches using embedded feature selection to pinpoint biological pathways in structural birth defects Dr. Aguiar-Pulido leads or participates in several funded research projects: Center for Accelerated Real Time Analytics (CARTA) (2021-2022) - NSF (Project Leader) Epilepsy Multiplatform Variant Prediction (2020-2025) - NIH (Co-Investigator) Progenitor regulation underlying cortical interneuron specification (2018-2023) - NIH (Key Personnel) Risk Genes and Environmental Interactions in Neural Tube Defects (2018-2023) - NIH (Researcher) Hybrid sequencing for improved genetic diagnosis in clinical settings (2019-2020) - Sackler Research Grant (Principal Investigator) She directs the DSaCB Lab, which focuses on developing computational approaches to address challenges in biomedical research, particularly related to genetic disorders. Her lab's work bridges computer science methodologies with real-world clinical applications in precision medicine.

Iana Shaheenمشاهده پروفایل

استادیار

• Supply Chain Management
• Humanitarian Logistics
• Leadership in Disruptions
• +۲ مورد دیگر

Iana Shaheen is an Assistant Professor of Supply Chain Management in the Walton College of Business at the University of Arkansas. Her research focuses on leadership, uncertainty, and disruptions in supply chain settings, with particular attention to how disruptions affect commercial supply chains and the significance of leadership and resilience during response and recovery. She also studies inter-organizational relationships within humanitarian supply chains. Dr. Shaheen's educational background includes: PhD in Business Administration from the University of South Florida MS in Marketing from the University of South Florida BS in Management from The Higher School of Economics (Russia) Her research interests center around supply chain disruptions, humanitarian logistics, and leadership in crisis situations. Dr. Shaheen examines how organizations respond to and recover from disruptions, with special focus on the role of leadership and organizational resilience. She investigates the dynamics of inter-organizational relationships in humanitarian contexts, particularly in settings like refugee camps and food banks during crises such as the Rohingya refugee situation and the COVID-19 pandemic. Her work bridges theoretical frameworks with practical applications in both commercial and humanitarian supply chains. Dr. Shaheen's scholarly contributions demonstrate a consistent focus on understanding how supply chains function under stress, with increasing attention to humanitarian contexts in recent years. Her publications span top-tier journals in operations management and supply chain disciplines, showing a progression from theoretical frameworks to applied case studies in real-world humanitarian crises. The research reveals growing interest in social dimensions of supply chain management, including gender dynamics, religious influences, and psychological factors in disaster response. Her notable recognition includes: IJOPM Best Paper Award 2021 for "Leadership styles in supply chain disruptions: a multimethod evaluation based on practitioner insights" Dr. Shaheen is actively engaged in academic service, currently serving as Associate Editor for the Journal of Supply Chain Management and International Journal of Production and Operations Management. She holds leadership positions including VP of Marketing for the Decision Sciences Institute and VP of Awards for the Humanitarian Operations Crisis Management College within the Production and Operations Management Society. Her professional service reflects her commitment to advancing research in supply chain management, particularly in humanitarian contexts. As an educator, Dr. Shaheen focuses on creating a safe and active learning environment that empowers students to develop knowledge through experience and reflection. She aims to equip students with skills that make them comfortable, adaptive, and responsive to the fast-moving business world.

Alastair Henryمشاهده پروفایل

استاد

• Psychology of Language Learning
• Motivation
• Multilingualism
• +۲ مورد دیگر

Alastair Henry is a Professor in Language Education at the Centre for Languages and Literature (SOL) , Lund University. His research focuses on the psychology of language learning , particularly motivation, communication behaviors in multilingual contexts, and teacher identity development. Research Focus Motivation in English, Modern Languages, and Swedish as a Second Language Teacher identity and relational practices Multilingualism and post-migration language dynamics Selected Scientific Awards 2024 IAPLL Distinguished Scholar Award 2023 Modern Language Journal Research Article Award 2013 Christopher Brumfit Thesis Award (Runner Up) Supervision & Projects Supervising PhD student Sophia Juul Principal Investigator for Progress in Language Learning (PILL), 2025–2028 (4.5M SEK) Co-PI for Motivation in Modern Languages (MoMS) and Project Leader in TEAM (25.8M SEK)

• Age and ageism in the workplace
• Work values
• Post-retirement employment
• +۵ مورد دیگر

Professor Noreen Heraty is Head of the Department of Work and Employment Studies at the Kemmy Business School, University of Limerick. With a career spanning decades, she has established herself as a leading authority in Human Resource Management and Organizational Behavior, teaching across graduate, undergraduate, professional, and executive programs. Her research focuses on critical workplace issues including ageism dynamics, generational employment challenges, post-retirement careers, workplace learning, and cross-national HRM trends. She co-directs the Age in the Workplace Research Network (AWR-net) and has contributed to the UN Sustainable Development Goals related to Quality Education and Decent Work. Scientific awards include: Citation of Excellence from ANBAR (1995) Irish American Partnership Scholarship (1990) Literati Club 1998 Award for Excellence Literati Club 1998 Highly Commended Award Recent publications analyze performance appraisal systems in multinational enterprises, critical mass effects on CSR implementation, and contextual approaches to HRM. Her work has appeared in top journals like Human Resource Management and International Journal of Human Resource Management .

• Neuroscience
• Neuropharmacology
• Neurodegenerative Diseases
• +۵ مورد دیگر

Professor Aideen Sullivan is Head of the Department of Anatomy and Neuroscience at University College Cork (UCC). With a career spanning over two decades at UCC, she leads research on neuroprotective therapies for Parkinson's disease, focusing on growth factors, stem cell applications, and epigenetic mechanisms. She established Ireland's first BSc in Neuroscience and co-developed the cross-College BSc in Medical and Health Sciences (CK707). BSc (First Class Honours) in Pharmacology, University College Dublin (1992) PhD in Neuropharmacology, University of Cambridge (1995) Her research program investigates Parkinson's disease through five key themes: viral vector delivery of neurotrophic factors, molecular mechanisms of neuroprotection, biomarker discovery, neuronal degeneration models, and stem cell-based treatments. She has secured significant grants from Health Research Board, Enterprise Ireland, and the Wellcome Trust. Recent publications (2022-2020) emphasize epigenetic regulation (HDAC inhibitors), microbiome-gut-brain axis interactions, and novel neurotrophic strategies. Articles highlight GDF5's neuroprotective effects, miRNA modulation, and molecular pathways like BMP-Smad and p38-MAPK. Scientific awards include: Postgraduate Certificate in Teaching and Learning (UCC, 2006) FETAC Certificate in Peer-Mentoring (2010) Leadership Foundation Aurora Programme Scholarship (2015) Over €2 million in research grants She mentors undergraduate and postgraduate students, chairs UCC's Athena SWAN 'Flexible Working' group, and serves as Editor-in-Chief of Neuronal Signaling . Her work spans laboratory research, public engagement, and educational innovation.

Martin Gravesمشاهده پروفایل

استاد

• Magnetic Resonance Physics
• Hyperpolarized Carbon-13 MRI
• Cardiac Imaging
• +۴ مورد دیگر

Professor Martin Graves is Professor of Magnetic Resonance Physics at the University of Cambridge, holding appointments within the School of Clinical Medicine and Department of Radiology. Since 1996, he has led the MRI Physics group at Addenbrooke's Hospital in Cambridge and serves as Honorary Consultant Clinical Scientist for the NHS. His primary institutional affiliation is with the Cambridge Mathematics of Information in Healthcare (CMIH) Hub at the Centre for Mathematical Sciences. His research focuses on advanced magnetic resonance imaging techniques with particular emphasis on hyperpolarized carbon-13 MRI for metabolic imaging applications. Key research areas include cardiac imaging for myocardial infarction assessment, cancer metabolism studies in renal cell carcinoma and ovarian cancer, neuroimaging of brain metabolism, and development of quantitative MRI methodologies. His work bridges physics, clinical medicine, and computational analysis to address diagnostic challenges in cardiovascular disease, oncology, and neurology. Analysis of his recent publications (2021-2025) reveals strong trends in hyperpolarized pyruvate imaging for cancer treatment monitoring, radiomics for plaque vulnerability assessment, and technical innovations in zero echo-time MRI. His research consistently targets clinical translation of advanced MRI techniques, with substantial focus on quantitative biomarkers for early treatment response assessment. No scientific awards or honors are documented in the provided materials Graves maintains active clinical-academic integration through his NHS consultancy role while leading physics research within Cambridge's imaging infrastructure. His work demonstrates consistent collaboration across medical specialties including cardiology, oncology, and neurology, with emphasis on developing clinically viable quantitative imaging biomarkers. The CMIH Hub serves as his primary research platform for mathematical approaches to healthcare imaging challenges.

Hannah Spitzerمشاهده پروفایل

استادیار

• Computational Biology
• Machine Learning
• Spatial Omics
• +۴ مورد دیگر

Hannah Spitzer is a Research Group Leader at the Institute for Stroke and Dementia Research (ISD) at Ludwig Maximilian University of Munich and an associated Research Group Leader at Helmholtz Munich's Computational Health Center. She leads the Spitzer Lab, focusing on computational analysis of multimodal brain datasets to advance understanding of neurovascular and neurodegenerative diseases. Her educational background includes: PhD in Computer Science from Heinrich-Heine University Düsseldorf and Research Center Jülich (2015-2020) Master's in Computer Science from RWTH Aachen (2013-2015) Bachelor's in Computer Science from RWTH Aachen (2009-2013) Dr. Spitzer's research integrates computational biology and machine learning to decode brain complexity, with emphasis on spatial omics analysis , interpretable image representation learning , and cross-modal data integration . Her group develops tools like squidpy and campa for spatial omics while applying graph neural networks to epilepsy lesion detection through the international MELD project, prioritizing biological interpretability in AI models. Recent publications reveal strong trends in leveraging graph neural networks for subtle brain lesion detection and creating computational frameworks for spatial omics integration. Her work consistently bridges advanced machine learning with clinical neuroscience to uncover disease mechanisms in neurodegeneration and vascular disorders. Dr. Spitzer actively mentors students including current PhD candidate Beatrice Guastella and alumni Deniz Fettahoglu (MSc) and Katia Berr (PhD). Her lab operates through major collaborations including the MELD epilepsy consortium and Helmholtz Imaging Project, with funding supporting computational pipeline development for small-vessel disease prediction and multimodal brain atlasing. The Spitzer Lab comprises postdoc Wasim Aftab and PhD student Beatrice Guastella, working on computational pipelines that integrate histology, spatial omics, and neuroimaging data to decode brain disease mechanisms through interpretable AI approaches.

Stephanie Toliverمشاهده پروفایل

استادیار

• Black Storytelling
• Afrofuturism
• Radical Imagination
• +۱۵ مورد دیگر

Stephanie Toliver is an Assistant Professor of Curriculum and Instruction at the University of Illinois at Urbana-Champaign, specializing in English Education and Adolescent/Secondary Literacy. Her work bridges Afrofuturism, Black feminist theory, and critical literacy to address systemic inequities in education. Affiliated with the College of Education, she focuses on speculative fiction as a tool for social critique and liberation. Ph.D., Language and Literacy Education, University of Georgia M.A., Curriculum & Instruction, Florida State University B.S., English Education, Florida Agricultural and Mechanical University Research Interests include: Black storytelling as a mechanism for social transformation Afrofuturism and speculative fiction in education Culturally sustaining pedagogies for Black youth Arts-based research methods Anti-racist teacher training Her scientific awards include: 2024 AERA Qualitative Research SIG Outstanding Book Award 2023 ICQI Outstanding Qualitative Book Award 2021 AERA Arts-Based Educational Research SIG Dissertation Award Public Scholarship features in the Chicago Tribune , Ms. Magazine , and Visible Magazine . She also founded Reading Black Futures , a resource for Afrofuturist literature.

• E-Learning
• Knowledge Management
• Digital Communities
• +۱ مورد دیگر

Marcus Birkenkrahe serves as an active Professor at the Berlin School of Economics and Law within the Faculty of Business Administration and Department of Business Informatics. His academic work bridges information technology with business management, focusing on practical applications in corporate and educational environments across Germany and Europe. His research spans E-Learning methodologies, Knowledge Management frameworks, Digital Community dynamics, and Leadership strategies. He pioneered virtual teaching systems and organizational learning tools, notably developing systemic constellations for change management and lean IT solutions for enterprise optimization. His work consistently explores technology-driven transformations in both academic and multinational business contexts. Publication analysis from 2000-2010 reveals dominant themes in knowledge management evolution within the new economy, organizational learning systems, and digital community governance. His research trajectory shows progression from theoretical foundations (2000-2001) toward practical applications in multinational corporations (2002-2004) and innovative educational models (2006-2010), with recurring emphasis on systemic approaches to complex organizational challenges. His distinguished awards include: Best article in the UA Business Review (2002) Fellow of the Royal Society of Arts (RSA) London (1998) Best campus-wide information site on the WWW (1994) Best online course offering on the WWW (1994) Professor Birkenkrahe has significantly advanced digital education infrastructure and knowledge-sharing platforms, though specific current advising roles and grant details aren't documented in available sources. His early 1990s web innovations established foundational models for online course delivery and campus information systems that received international recognition.

Catherine Hurleyمشاهده پروفایل

استاد

• Data visualization
• Data science
• Machine learning
• +۴ مورد دیگر

Catherine Hurley is a Professor of Statistics at Maynooth University's Faculty of Science & Engineering, where she serves as Subject Head of Statistics in the Department of Mathematics and Statistics. She maintains strong affiliations with both the MU Hamilton Institute and the National Centre for Geocomputation, positioning her work at the intersection of statistics, data science, and computational methods. Dr. Hurley is a leading expert in data visualization with primary research interests in visualization techniques for data science and machine learning problems. Over her distinguished career, she has authored and contributed to numerous software packages, beginning with Data Viewer (1987), a predecessor to GGobi, Quail (1987-2000), and many R packages including condvis2, vivid (2021), and Bartvis (2022). Her work has significantly advanced the field of statistical graphics and model visualization. Her recent research has focused on conditional visualization for statistical models, with several publications on the condvis package and related tools that enable researchers to explore complex machine learning models through interactive visual interfaces. She has also made substantial contributions to dendrogram seriation, pairwise comparison visualization, and variable importance displays, creating numerous R packages that have become essential tools for statisticians and data scientists. Her 2023 publications include significant contributions to Bayesian additive regression trees and variable importance visualization for machine learning models. Dr. Hurley has held significant leadership roles in the statistical community, serving as Vice-President (2017-2019) and President (2019-2021) of the Irish Statistical Association. She also served as Editor-in-Chief and Editor of the R Journal from 2019 to 2023, playing a crucial role in advancing open-source statistical software development and dissemination. Her work demonstrates a consistent pattern of developing practical visualization tools that address real-world challenges in statistical analysis and machine learning interpretation. The progression from early work on statistical graphics infrastructure to recent innovations in model exploration reflects her sustained commitment to making complex statistical concepts accessible through visualization.

• Learning Analytics
• Educational Technology
• Open Source Educational Tools
• +۳ مورد دیگر

Dr. Arham Muslim serves as a Professor in the Department of Computer Science at the School of Electrical Engineering and Computer Science (SEECs), National University of Sciences and Technology (NUST), Pakistan. He leads the Learning Technologies research group (Informatik 9), directing development of open-source learning analytics infrastructure with emphasis on user-centered design and academic ecosystem integration. His research program focuses on Learning Analytics and Educational Technology , specializing in open learning analytics platforms like OpenLAP. Key contributions include modular framework architectures, rule-based indicator systems, and data modeling standards that enable personalized learning experiences through academic network visualization and adaptive feedback mechanisms. His work bridges software engineering principles with pedagogical requirements in higher education contexts. Publications from 2013-2018 reveal consistent advancement in learning analytics ecosystems, with increasing emphasis on interoperability standards, open-source sustainability, and ethical implementation frameworks. The research trajectory demonstrates progression from foundational data modeling to sophisticated user-centered platform development, addressing critical gaps in educational data utilization. As head of the Learning Technologies research group at SEECs, he drives innovation in educational data systems through collaborative development of OpenLAP and related tools, positioning NUST as a significant contributor to global learning analytics research infrastructure.

Susan Murrayمشاهده پروفایل

استاد

• Nonparametric Survival Analysis
• Missing Data Issues
• Quality-of-Life Research
• +۶ مورد دیگر

Susan Murray , ScD, is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health. She has made significant contributions to survival analysis methodology, particularly in lung allocation systems and quality-of-life-adjusted survival models. Education: ScD in Biostatistics (Harvard, 1994), MS in Biostatistics (Harvard, 1992), BA in Statistics and English (Rice, 1990) Roles: Biostatistical Editor for American Journal of Respiratory and Critical Care Medicine , member of Cystic Fibrosis Foundation's Data and Safety Monitoring Board Her research focuses on nonparametric survival analysis with informative censoring, group sequential methods for censored data, and quality-of-life-adjusted survival models. She pioneered Lung Allocation Score development and dependent censoring methodology. Recent collaborative work with pulmonary researchers has advanced CT parametric response mapping for COPD progression, machine learning applications in proteomics, and spatially localized lung disease analysis. Her publications show strong emphasis on survival modeling , censored data handling, and transplantation outcomes . Scientific Awards: University of Michigan School of Public Health Excellence in Teaching Award (2003) On Job/On Campus Master's Program Teacher of the Year (2001) Professor Murray maintains active collaborations with University of Michigan Medical School pulmonary researchers and national institutions. She has served on editorial boards for Biometrics and Lifetime Data Analysis , and currently contributes to the American Journal of Respiratory and Critical Care Medicine as Biostatistical Editor.