جست‌وجوی استاد و پژوهشگر

Janice A. Schrieferمشاهده پروفایل

دانشیار

• Healthcare Quality Improvement
• Patient Safety
• Pediatrics
• +۵ مورد دیگر

Janice A. Schriefer is an Associate Professor in the Department of Pediatrics and Public Health Sciences at the University of Rochester School of Medicine and Dentistry. She serves as Director of Collaborative Partnerships for Quality and Safety at UR Medicine Golisano Children's Hospital and Tutor in the Mastering Medical Information course for 1st-year medical students. Dr.P.H., University of Michigan, Public Health MSN, University of Vermont, Nursing MBA, University of Vermont, Business or Commerce BSN, Hartwick College, Nursing Dr. Schriefer's research focuses on healthcare quality improvement (QI) in pediatric settings, including reducing surgical complications via collaborative partnerships, simulation-based team training for perinatal care, and addressing racial/ethnic disparities in inpatient safety outcomes. She has led initiatives on asthma care, central line infection prevention, and gastrostomy tube safety protocols. Her recent publications (2024-2021) examine QI strategies for respiratory illness management in NICUs, peer support systems for families of medically complex children, and severity scoring tools for hospitalized asthma patients. These works span topics like behavioral health interventions, venous access scoring, and vaccination rate optimization. Over 30+ scientific awards (2009-2024) URMC Quality Institute Associate Scholar HRSA grant collaborations on epilepsy care and delivery room simulation Dr. Schriefer mentors students in the Strong Children's Research Center and RES 995 QI Research Electives. She has worked with researchers from Vermont Oxford Network, Stanford University, and the EquiCenter in Mendon, NY.

Lauren G. Solanمشاهده پروفایل

دانشیار

• Pediatric Hospital Medicine
• Healthcare Communication
• Patient Transition Care
• +۳ مورد دیگر

Lauren G. Solan, M.D., M.Ed. is an Associate Professor in the Department of Pediatrics at the University of Rochester Medical Center. She serves as Division Chief of Pediatric Hospital Medicine and Fellowship Director for the Pediatric Hospital Medicine Fellowship. As a pediatric hospitalist, she cares for hospitalized children with general pediatric conditions while leading research on healthcare communication and care transitions. Education: MD from SUNY at Buffalo-School of Medicine & Biomedical Sciences (2007) Residency in Pediatrics at Cincinnati Children's Hospital Medical Center (2007-2011) Fellowship in Pediatric Hospital Medicine at Cincinnati Children's Hospital Medical Center (2011-2014) Dr. Solan's research focuses on optimizing communication between healthcare providers and families, with emphasis on post-discharge transitions. Her work includes developing handoff protocols, evaluating nurse-led home visit programs, and analyzing socioeconomic impacts on care continuity. She employs qualitative methodologies to understand caregiver experiences and designs interventions to reduce readmissions. Her 15 most recent publications explore pediatric billing systems, communication quality improvement, asthma care reuse reduction, and risk prediction models. These works consistently demonstrate themes of care coordination innovation, health equity considerations, and systemic solutions for transitional care challenges. Scientific Awards: Outstanding Faculty Teaching Award (2017-2018) APA Pediatric Hospital Medicine Special Interest Group Co-Chair (2016-2019) APA Region V Trainee Abstract Award (2014) Senior Resident Teaching Award, Cincinnati Children's Hospital (2013) AAMC Readiness for Reform Honorable Mention (2012) Richard T. Sarkin MD Award (2007) Gold Humanism Honor Society (2006) Strong Star Award for clinical excellence As Fellowship Director, she oversees pediatric hospital medicine training programs. She leads the clinical trial "Eliminating Monitor Overuse" to reduce unnecessary pulse oximetry in bronchiolitis care, funded through institutional grants. Her KL2 Career Development Award (2017-2019) supported research on pediatric readmission risk prediction.

Ellen Tolestam Heymanمشاهده پروفایل

پژوهشگر

• Emergency Medicine
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Ellen Tolestam Heyman is a MD PhD Student Researcher at Lund University's Faculty of Medicine, Department of Emergency Medicine. She works clinically as a resident physician in the emergency department at Halland Hospital Varberg while conducting AI-focused research within the interdisciplinary AIR Lund program. Her work explores AI applications for improving diagnostic accuracy, mortality prediction, and resource allocation in emergency care. Her research interests include: AI and machine learning for emergency medicine diagnostics Resource management optimization in acute care settings Clinical decision support systems Integration of ethical AI in healthcare Research trends show focus on dyspnea diagnosis, triage efficiency, and predictive analytics using cross-sectional studies and deep learning models. Her work aligns with UN Sustainable Development Goals for healthcare quality and accessibility. Scientific awards include multiple grants for AI-supported diagnostic systems (2021–2023). She actively contributes to academic discourse through presentations on AI's future in emergency medicine.

Amy Cohnمشاهده پروفایل

استاد

• Healthcare Operations Research
• Patient Scheduling
• Resource Allocation in Healthcare
• +۶ مورد دیگر

Amy Cohn is a Professor at the University of Michigan School of Public Health and College of Engineering, with appointments in the Department of Health Management and Policy and Industrial and Operations Engineering. Her work focuses on applying operations research methodologies to healthcare systems optimization. Education PhD in Operations Research from Massachusetts Institute of Technology (2002) AB in Applied Mathematics from Harvard University (1991) Research Interests Dr. Cohn's research centers on improving healthcare delivery through operations research and systems engineering approaches, particularly for patient scheduling , resource allocation , and health information technology . She has developed simulation models for chemotherapy deferrals, surgical training efficiency, and glaucoma clinic wait times. Scientific Awards Arthur F Thurnau Professorship - recognizing excellence in teaching and research Publications Trends Her publications demonstrate a consistent application of discrete-event simulation , stochastic programming , and optimization techniques to address healthcare challenges including telehealth scheduling , residency training logistics , and patient safety improvements through engineering-clinical collaborations. Leadership Roles As Associate Director of the Center for Healthcare Engineering and Patient Safety, she leads multidisciplinary teams in developing practical solutions for complex healthcare operations problems.

• Radiation Oncology
• Artificial Intelligence in Oncology
• Molecular Oncology
• +۵ مورد دیگر

Jonathan D. Tward is a tenured Professor in the Department of Radiation Oncology at the University of Utah and directs the Huntsman Cancer Institute (HCI) Genitourinary Cancers Center (GUCC). With expertise in prostate, bladder, and penile cancers , he pioneers AI-driven digital-molecular oncology through innovations in precision radiation therapy , multimodal imaging , and prognostic biomarker development . Education: BS in Biology (UCLA), PhD in Biochemistry, MD (Tufts University), Residency in Radiation Oncology (University of Utah) Leadership: Director of GUCC, Utah ASTRO State Captain, NCCN Guideline Panel Member His research integrates machine learning with genomic/transcriptomic profiling to optimize radiation workflows and validate molecular signatures in clinical trials. He is a globally recognized authority in AI-enabled cancer discovery and digital pathology , holding the Vincent P. and Janet Mancini Endowed Chair. Dr. Tward’s work emphasizes resource-stratified oncology solutions for low/middle-income settings. Scientific awards include the Vincent P. and Janet Mancini Presidential Endowed Chair and Fellowship in the American Society for Radiation Oncology (FASTRO) . His 100+ peer-reviewed publications focus on AI-guided treatment adaptation , cell-cycle risk modeling , and multimodal prognostication in GU malignancies. Patient testimonials highlight his empathetic care , technical precision , and global leadership in radiation oncology.

Christina Chanمشاهده پروفایل

استاد

• Systems Biology
• Metabolic Profiling
• Tissue Engineering
• +۳ مورد دیگر

Christina Chan is a University Distinguished Professor at Michigan State University's Department of Biochemistry & Molecular Biology. She holds concurrent faculty appointments in the Genetics & Genome Sciences Program and Cell & Molecular Biology Program, and has served as Interim Chair of Chemical Engineering and Materials Science. Her research focuses on Systems Biology , Metabolic Profiling , Tissue Engineering , and Targeted Drug Delivery Systems , particularly examining ER stress mechanisms in diseases like diabetes, Alzheimer's, and cancer. Her scientific contributions include 15 recent publications (2025-2022) analyzing ER stress interactions with DNA repair pathways, siRNA delivery optimization, and metabolic drivers of cancer progression. Notable awards include the 2014 William J. Beal Outstanding Faculty Award and 2012 election to the American Institute for Medical and Biological Engineering's College of Fellows. She leads the Chan Lab , which integrates biochemical engineering with molecular pathology to develop therapeutic strategies. Key research trends: ER stress in cancer chemotolerance, metabolic reprogramming of tumor cells, multi-biomolecule delivery platforms Awards William J. Beal Award (2014) AIMEBE Fellow (2012) Withrow Teaching Award (2010) Whitaker Young Investigator (2003-06)

• Machine Learning
• Medical Imaging
• Computational Modelling
• +۳ مورد دیگر

Martin Lillholm is a Professor at the Department of Computer Science , University of Copenhagen, specializing in Image Analysis, Computational Modelling, and Geometry . His research focuses on leveraging machine learning and deep learning for medical imaging , particularly in breast cancer risk stratification and COVID-19 adverse outcome prediction . He has co-authored numerous high-impact journal articles in Radiology , Scientific Reports , and other venues, often collaborating with clinical researchers. Research Trends & Fields Lillholm’s work bridges computer science and healthcare , with recent publications emphasizing: AI-driven mammography screening for early breast cancer detection Texture analysis in medical images to enhance risk prediction Domain adaptation for robust cross-vendor imaging systems Health registry analysis using machine learning for recurrent cancer identification Pandemic risk modeling for COVID-19 outcomes Collaborations & Impact He collaborates across disciplines, including with Department of Clinical Medicine researchers and international partners . His studies have been widely cited, with significant visibility via Mendeley , X , and news outlets . While no formal awards are listed, his research has driven clinical protocol innovations and policy discussions.

• Machine Learning
• Probabilistic Inference and Reasoning
• Stochastic Processes
• +۱ مورد دیگر

Christoffer Olling Back is a Postdoctoral Researcher at the Department of Computer Science (Faculty of Science, University of Copenhagen) specializing in Human-Centred Computing . His work bridges applied and theoretical machine learning, focusing on probabilistic inference, stochastic processes, and computability theory. Education PhD in Computer Science (2017-2020) - University of Copenhagen MSc in Artificial Intelligence (2010-2011) - University of Edinburgh BA in Psychology (w/ Computer Science) (2004-2008) - Lewis and Clark College Current research explores predictive workflow models using location data through the iAware project (collaboration with Systematic, PowerNet, and Bispebjerg Hospital). Previous work investigated ERP system datasets in the DIREC consortium. His publications span topics in process mining, probabilistic modeling, and healthcare informatics. Recent achievements include 15 research outputs (2024-2016) covering process discovery, workflow simulation, and entropy-based log analysis. Collaborations with institutions like Roskilde University and industry partners demonstrate interdisciplinary impact. Scientific Awards Dean's List (2007) Nordea Fonden Scholarship (2010) As an educator, he serves as guest lecturer, assistant teacher, and tutor in computer science, machine learning, and software engineering. His professional background includes industry roles at ServiceNow Denmark ApS (2021-2024) and Gekkobrain (2020-2021).

• Computer-Supported Cooperative Work (CSCW)
• Human-Computer Interaction (HCI)
• Data Work and Ethics
• +۳ مورد دیگر

Naja Holten Møller, an Associate Professor in the Promotion Programme at the Department of Computer Science, University of Copenhagen, specializes in Human-Centred Computing . Her research focuses on Computer-Supported Cooperative Work (CSCW) , exploring ethics in data-driven technologies, algorithmic decision-making, and the digitalization of public sectors. She investigates how adaptive technologies transform work processes and emphasizes balancing human values with automation through long-term collaborations with public organizations. Research Areas: Ethics in Data Work Algorithmic Accountability Public Sector Digitalization Future Workplace Optimization Scientific Awards: Member of ACM's Future of Computing (2017) Collaborations: Public Sector Organizations Refugee Law Institutions Healthcare Systems Her recent publications highlight trends in asylum data governance , AI labor pipelines , and participatory design in public systems, reflecting her focus on technological ethics and stakeholder inclusion.

Ciara Barclay-Buchananمشاهده پروفایل

دانشیار بالینی

• Hospital Operations
• Patient Experience
• Peer Review
• +۴ مورد دیگر

Ciara Barclay-Buchanan, MD is a Clinical Associate Professor at the University of Wisconsin–Madison , affiliated with the Department of Emergency Medicine under the School of Medicine and Public Health . She currently serves as the Chief Medical Officer for UW Health University Hospital , focusing on clinical leadership, health equity, and graduate medical education. Education: Medical degree from Wayne State University School of Medicine, residency at Detroit Medical Center. Previous roles include Vice Chair of Operations and Associate Residency Program Director. Her research interests span emergency department operations , trauma care , peer review , and medical education , with a focus on improving patient experiences and addressing disparities. She has authored emergency medicine textbooks and led initiatives like the Quality, Operations, and Leadership Team (QOLT) . Recent scientific awards include: 2023 – Physician Excellence Award in Clinical Leadership (UW Health) 2022 – Ripple Award for Leadership & Service (BerbeeWalsh Department) 2017 – Wayne State University Recent Alumni Award Her publications highlight advancements in emergency diagnostics , pandemic response , and equity-driven care models . She also oversees Graduate Medical Education at UW Health, emphasizing clinician well-being and education.

Jamie Hessمشاهده پروفایل

استاد

• Emergency Medicine
• Pediatric Emergency Medicine
• Adult Emergency Medicine
• +۷ مورد دیگر

Jamie Hess, MD, MMM is a Professor (Clinical Health Services) at the University of Wisconsin–Madison's School of Medicine and Public Health , affiliated with the Department of Emergency Medicine . She serves in multiple leadership capacities including Interim Medical Director for Pediatric Emergency Medicine , Medical Director for Patient Experience and Patient Relations , and Director of Quality, Patient Safety, and Interprofessional Education at the UW School of Medicine and Public Health (SMPH). Dr. Hess has developed innovative educational programs like the Faculty Quality Improvement Coaching Program supporting student-led QI initiatives across 45 clinical sites. She chairs the SMPH Student Promotions and Review Committee and leads institutional governance as President of the UW Health Medical Board and President of the Medical Staff . Clinical Interests : Pediatric & adult emergency medicine, ultrasound, quality improvement Education : Mayo Clinic College of Medicine (MD), Carnegie Mellon University (Master of Medical Management), Baystate Medical Center (Emergency Medicine Residency), Hennepin County Medical Center (Ultrasound Fellowship) Research Focus spans medical education innovation , health disparities , and emergency ultrasound . Her work includes curriculum development, simulation training, and quality improvement metrics in emergency care. Scientific Awards : Dean’s Teaching Award (2018) Young Educator of the Year Award (2018) Dr. Hess contributes extensively to residency training frameworks and match process analysis , while maintaining clinical expertise in conditions requiring urgent intervention like heart attacks , strokes , and infectious emergencies .

Hilde Wøienمشاهده پروفایل

استاد

• Intensive Care Pain Management
• Sedation and Delirium in Critical Care
• Implementation Research
• +۴ مورد دیگر

Hilde Wøien is a Professor at the Department of Public Health and Interdisciplinary Health Sciences , University of Oslo , with a focus on intensive care pain treatment, sedation, delirium , and implementation research . She leads interprofessional education (SamPraks) initiatives across six faculties, emphasizing collaborative learning. Academic background includes a PhD (2013) on systematic ICU pain management, a Master's in Nursing Science (2003) on nutritional support algorithms, and foundational training as an intensive care nurse (1990) . Research interests span: Critical care patient comfort (pain, sedation, delirium) Implementation science using digital platforms like Facebook Interprofessional education for collaborative healthcare teams Geriatric nursing for unstable patient populations Scientific contributions focus on ICU quality improvement, pandemic workforce ethics, and pediatric chronic disease management. Key awards include Intensive Care Nurse of the Year (2008) and UiO Education Award nomination (2023) . She has mentored PhD candidates Antonija Petosic (social media in ICU quality), Kjersti Forbech Henriksen (critical care competencies), and Anniken Maaemoen (post-pandemic workforce retention), alongside multiple Master's students .

Louise M. Hendersonمشاهده پروفایل

استاد

• Cancer Screening
• Comparative Effectiveness Research
• Medical Imaging
• +۳ مورد دیگر

Louise M. Henderson, PhD, MSPH , is a Professor in the Department of Radiology at the UNC School of Medicine and a member of the UNC Lineberger Comprehensive Cancer Center . Her work focuses on cancer screening and prevention with an emphasis on comparative effectiveness research of imaging modalities and real-world screening evaluation . Academic Roles: Co-Leader, UNC Lineberger Cancer Epidemiology Research Program Key Projects: Carolina Mammography Registry, North Carolina Lung Screening Registry, NCI Cancer Screening Research Network (CSRN) ACCESS Hub Her research evaluates the net benefits of cancer screening in population-based settings, integrating biomarkers for risk prediction and assessing new screening technologies . She leads two major registries tracking mammography and lung screening outcomes and serves as co-PI for the NCI-funded CSRN ACCESS Hub. Recent publications highlight trends in lung cancer screening disparities , incidental findings in imaging , and optimizing breast cancer screening strategies for high-risk and elderly populations. Her work spans 2003–2025, with a focus on imaging effectiveness and equity in diagnostics . Scientific Awards: NIH grant for Cancer Screening Research Network $1.2 million ACS grant for statewide screening tracking $1.76 million NCI grant for low-dose CT lung screening studies Louise Henderson actively advises through collaborative research and grant-funded initiatives , emphasizing real-world screening implementation and policy impact . Her work bridges clinical radiology , epidemiology , and public health strategy .

• Graph Algorithms
• Network Analysis
• Scientific Workflow Scheduling
• +۳ مورد دیگر

Henning Meyerhenke is a Professor at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. He serves as Deputy Director of Teaching and Studies, focusing on graph algorithms , network analysis , and scientific workflow scheduling . His research spans complex systems modeling and parallel computing. Ranks: Professor Institution: Humboldt University of Berlin Research Interests include energy-efficient computing, heterogeneous systems, and scalable graph algorithms. Recent work explores network sparsification , workflow mapping , and graph robustness under edge deletions. His group also investigates climate science applications via climate networks . Publication Trends reflect advancements in parallel algorithms , distributed systems , and adaptive scheduling for scientific workflows. Key subfields include memory-aware computing , harmonic centrality , and edge sampling techniques. Student Advising : Michael Piechotta (PhD candidate, defended September 15, 2025)

Jennifer A. Harveyمشاهده پروفایل

استاد

• Breast Imaging
• Diagnostic Radiology
• Mammography
• +۳ مورد دیگر

Jennifer A. Harvey, M.D. serves as Professor and holds the endowed Dr. Stanley M. Rogoff and Dr. Raymond Gramiak Professorship in Radiology within the Department of Imaging Sciences at the University of Rochester School of Medicine and Dentistry. Board-certified in Diagnostic Radiology by the American Board of Radiology, she is affiliated with the University of Rochester Medical Faculty Group (URMFG) and Accountable Health Partners (AHP), though currently not accepting new patients. Her educational foundation includes: MD from University of Arizona College of Medicine (1988) Internship at Banner-University Medical Center Phoenix (1988-1989) Residency in Diagnostic Radiology at University of Arizona College of Medicine (1989-1993) Dr. Harvey's research centers on breast imaging innovation , with particular focus on breast density implications , screening methodology optimization , and patient-centered outcomes . Her work critically examines health care inequities in imaging access, the clinical role of radiologists, and technological advancements like contrast-enhanced mammography and abbreviated MRI protocols. She actively addresses barriers to screening for women with dense breasts while advancing evidence-based practice guidelines. Over 2022-2024, her publication trajectory reveals increasing emphasis on health equity and patient experience alongside technical screening advancements. Her editorials challenge systemic biases while research articles quantify behavioral and clinical factors affecting screening adherence. This dual focus positions her at the intersection of technical radiology innovation and social determinants of care. Her editorial leadership has earned recognition through: 2022-2023 Editor's Recognition Award (Journal of Breast Imaging) 2021-2022 Editor's Recognition Award (Journal of Breast Imaging) While specific grant details aren't public, her multi-institutional collaborations—including Society of Breast Imaging surveys and NIH-funded trials like the ACRIN 6666 study—demonstrate significant research influence. Her clinical mentorship shapes next-generation radiologists through editorial guidance and protocol development leadership. Dr. Harvey operates within the University of Rochester's comprehensive imaging research ecosystem, contributing to the Department of Imaging Sciences' mission through both clinical service and scholarly leadership in breast imaging innovation.