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Rebecca SchweiView profile

Researcher

• Health Equity
• Emergency Medicine
• Antibiotic Stewardship
• +3 more

Rebecca Schwei is a Researcher and lab manager at the University of Wisconsin School of Medicine and Public Health, working with Dr. Michael Pulia's Emergency Care for Infectious Diseases (EC-ID) research program since 2011. She manages large multi-site clinical trials and program evaluations both locally and internationally, with expertise in quantitative and qualitative analysis. Her educational background includes a BS from the University of Wisconsin–Madison and an MPH from Emory University Rollins School of Public Health. She is currently pursuing her doctorate in clinical investigation. Dr. Schwei's research focuses on health equity and communication in healthcare, particularly on patient-centered care outcomes for patients with Non-English language preferences (NELP) in emergency settings. Her work spans emergency medicine, infectious diseases, and antibiotic stewardship, addressing critical issues in healthcare delivery for vulnerable populations through both clinical trials and program evaluations. Analysis of her recent publications reveals a strong emphasis on emergency department operations during the COVID-19 pandemic, antibiotic stewardship in viral respiratory infections, and the impact of language barriers on patient care. Her research consistently addresses health disparities and seeks to improve care for non-English speaking patients and other vulnerable groups, with a notable focus on dysphagia screening and patient-centered care outcomes. As the lab manager for the EC-ID research program, she plays a key role in managing research projects that aim to enhance emergency care for infectious diseases, including multi-site clinical trials and program evaluations designed to promote health in vulnerable populations.

Wendy J HarrisonView profile

Associate Professor

• Biostatistics
• Causal inference
• Latent variable modelling
• +7 more

Dr Wendy J Harrison is Associate Professor in Biostatistics at the University of Leeds’ School of Medicine, based in the Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) and the Specialist Science Education Department. Since arriving as Lecturer in 2007 she has led quantitative teaching across MBChB and postgraduate programmes, and now directs the Health Informatics with Data Science MSc launched in 2022. Education & Qualifications PhD Latent Variable Modelling for Complex Observational Health Data (part-time, awarded 2017) PGCLTHE – Postgraduate Certificate in Learning and Teaching in Higher Education (2011) MSc Medical Statistics, University of Leicester BSc(Hons) Combined Studies Mathematics / Physics Research Interests Her methodological work focuses on causal inference techniques—especially directed acyclic graphs (DAGs), multilevel and latent-class / latent-variable modelling—for analysing complex observational health data. Applied domains include obesity, cancer epidemiology and paediatric cardiology. She uses insights from this research to embed contemporary quantitative methods into undergraduate and postgraduate medical education. Publications Snapshot Across 15 recent papers (2008-2021) three cross-cutting themes emerge: development and teaching of DAG-based causal inference tools, evaluation of multilevel latent-class methodologies via simulation and real data, and collaborative epidemiological studies in cancer, cardiology and perinatal health. These outputs underline a commitment to both advancing and disseminating robust statistical practice. Professional Memberships Fellow of the Royal Statistical Society (GradStat) Fellow of the Higher Education Academy (FHEA) Leadership & Administration She currently serves as Programme Lead for Postgraduate Programmes in Health Informatics with Data Science, Admissions Lead for all postgraduate programmes in her department, and Chair of the Postgraduate Special Circumstances Committee.

Chia-Yi KuanView profile

Professor

• Neuroscience
• Neuroimmunology
• Experimental Pathology
• +4 more

Dr. Chia-Yi Kuan is a Professor of Neuroscience at the University of Virginia School of Medicine. With an MD from National Taiwan University and a PhD from Yale University, she has established herself as a leading researcher in neuroimmunology and brain injury mechanisms. Dr. Kuan's educational background includes: M.D. from National Taiwan University Ph.D. from Yale University Her research focuses on understanding the mechanisms of hypoxic-ischemic brain injury, stroke, and neuroinflammatory processes. Dr. Kuan's laboratory investigates how immune cells, particularly monocytes and microglia, contribute to brain damage and recovery following various neurological insults. Her work has significant implications for developing novel therapeutic strategies for stroke and brain injury, especially in vulnerable populations like newborns and patients with blood disorders. A particular strength of her research program is the development of innovative animal models that incorporate comorbid conditions such as sickle cell disease. Analysis of Dr. Kuan's recent publications reveals a strong focus on neuroimmunology, particularly the role of monocytes and microglia in brain injury and repair. Her research spans from basic mechanisms of neuroinflammation to translational studies developing potential therapies for stroke and brain injury. A notable trend in her recent work is the exploration of how blood disorders like sickle cell disease and thalassemia affect stroke susceptibility and outcomes, along with investigations into brain energetics and novel imaging techniques for monitoring cerebral blood flow. Dr. Kuan has made significant contributions to the field through her innovative research models and discoveries about the role of immune cells in brain pathology. Her work on monocyte-to-microglia transition has opened new avenues for understanding neuroinflammatory processes and has been published in high-impact journals including Science Advances. Dr. Kuan has mentored numerous graduate students and postdoctoral fellows who have gone on to successful careers in neuroscience and related fields. Her laboratory has been consistently supported by multiple NIH grants focused on understanding the mechanisms of brain injury and developing novel therapeutic approaches. Current funding supports investigations into CCR2+ monocytes as therapeutic targets and the development of advanced imaging techniques for cerebral blood flow regulation. Dr. Kuan leads a dynamic research team that includes postdoctoral fellows, graduate students, and research technicians working collaboratively to advance our understanding of neuroinflammatory processes in brain injury. Her laboratory utilizes advanced techniques including in vivo imaging, single-cell analysis, and sophisticated animal models of neurological disorders, with recent expansion into tau pathology and oxidative stress imaging.

• Family Medicine
• Primary Health Care
• Rural Residency Training
• +3 more

Casey S Martin serves as an Assistant Professor and Leader within the Department of Family Medicine and Community Health at the University of Minnesota, Twin Cities campus. Their work focuses on advancing primary care systems through residency training innovation and evidence-based clinical practice, with current involvement in HRSA-funded rural healthcare initiatives. Research interests center on Family Medicine and Primary Health Care , particularly addressing Rural Residency Training challenges, Team-Based Care models, and sports medicine dermatology. Key areas include continuity of care optimization, diagnostic testing validation, and evidence synthesis for complex clinical scenarios like stroke management. Recent publications demonstrate evolving focus on healthcare delivery systems, with 2024 work analyzing tripartite mission integration in academic family medicine, 2023 studies examining set-day clinics and expanded medical assistant roles, and sports dermatology diagnostics. Collaborative patterns show strong emphasis on rural healthcare access and interprofessional team dynamics. Martin contributes as Co-Investigator to the active Planning and Development of a Rural Residency Training Track in Grand Rapids, Minnesota (2023-2026), funded by HRSA and Fairview Health Services. This project targets Residency Training expansion in underserved areas, with measurable impacts on physician workforce development. Research activity is amplified through social media engagement, with publications referenced by 6 news outlets, 12 X users, 1 Facebook page, and 2 Bluesky users. The work aligns with UN Sustainable Development Goals through primary health care innovation and rural medical access improvement.

Glenn T. SchneiderView profile

Associate Professor

• Laryngology
• Voice Disorders
• Dysphagia
• +4 more

Glenn T. Schneider, M.D., M.S. serves as an Associate Professor in the Department of Otolaryngology at the University of Rochester School of Medicine and Dentistry. He maintains clinical appointments at UR Medicine Faculty and Accountable Health Partners, providing specialized care at Brighton Clinton Woods locations in Rochester, NY. Dr. Schneider's research focuses on laryngology with particular emphasis on voice disorders in professional voice users , dysphagia , neurologic larynx disorders , and the relationship between GERD and voice changes . His clinical philosophy prioritizes step-wise, cost-effective care for complex voice and swallowing disorders while emphasizing patient education. Current research explores human behavior and motivation in voice disorder treatment. His publication record demonstrates consistent contributions to subglottic stenosis management, vocal fold paralysis outcomes, and innovative techniques like 3D-printed surgical tools. Recent work examines social determinants of health in airway disease outcomes and mobile health applications for monitoring airway conditions. Dr. Schneider's clinical excellence is reflected in exceptional patient satisfaction ratings (4.9/5 stars from 613 reviews), with recurring praise for his diagnostic acumen, compassionate care, and collaborative treatment planning approach. His dual M.D./M.S. training supports evidence-based practice across complex ENT cases.

• Biomedicine
• Neuroscience
• Rehabilitation Sciences
• +3 more

Filippo Guccione is a contract lecturer at the Department of Biomedicine, Neuroscience and Advanced Diagnostics within the School of Medicine and Surgery at the University of Palermo (Unipa). His work spans rehabilitation sciences, physiotherapy, and healthcare diagnostics. University: University of Palermo (Unipa) School: School of Medicine and Surgery Department: Department of Biomedicine, Neuroscience and Advanced Diagnostics Academic Rank: Lecturer Research Interests: Filippo focuses on rehabilitation sciences, with specific emphasis on physiotherapy for musculoskeletal disorders, clinical risk management, healthcare policy, and the integration of technology in rehabilitation. His work addresses challenges in home-care services, professional autonomy, and multidisciplinary team dynamics. Key Trends in Publications: Rehabilitation for musculoskeletal injuries (e.g., rotator cuff, lateral epicondylitis) Health policy and organizational models in Sicilian healthcare Technological advancements in robotic rehabilitation and e-health Management of clinical risks in multidisciplinary teams Post-COVID and geriatric rehabilitation strategies Advising and Grants: While specific grants and advising roles are not explicitly listed, his edited theses suggest mentorship in rehabilitation sciences, focusing on clinical protocols, patient autonomy, and healthcare innovation.

• Strategic Management
• Game Theory
• Business Process Improvement
• +2 more

Malcolm Brady is an Associate Professor in Management at Dublin City University Business School, where he previously served as Head of the Management Group and Associate Dean for Teaching & Learning. His research integrates game theory, strategic management, and business process improvement, with particular focus on decision-making in competitive environments. His teaching portfolio includes strategic management, business process improvement, and decision-making methodologies. Research examines competitive dynamics in duopolistic markets, ethical decision frameworks, and organizational coordination mechanisms. Recent publications analyze managerial trade-offs between sales and profits (2025), COVID-19 impacts on education (2024), and advertising strategies in Cournot competition (2022). Methodologically, his work employs game-theoretic modeling, simulation techniques, and case study analysis to investigate strategic interactions and organizational rule-following behaviors. His scholarship connects theoretical frameworks with practical applications in business education and healthcare management.

• Medical Optics
• Biomedical Engineering
• Neuroimaging
• +4 more

Dr. Lisa Kobayashi Frisk is a Postdoctoral Researcher in the Medical Optics Office at ICFO – The Institute of Photonic Sciences. She holds a PhD in Photonics from Universitat Politècnica de Catalunya (Spain). Her research focuses on developing and applying diffuse optical methods for non-invasive assessment of cerebral hemodynamics in clinical settings, particularly in stroke and critical care patients. Key areas include speckle contrast optical tomography, cerebral autoregulation monitoring, and translational biomedical engineering. Her work bridges optical physics and clinical medicine, with applications in neonatal cardiac surgery monitoring, stroke unit diagnostics, and post-stroke rehabilitation. Recent studies emphasize optimizing fiber-based systems for deep tissue imaging and validating workflows for bedside hemodynamic assessments. Dr. Frisk’s innovations aim to improve personalized therapies through real-time physiological data. Key research directions include: Optical monitoring of cerebral blood flow dynamics Multi-modal hybrid diffuse optical techniques Clinically relevant stroke biomarker identification Development of compact, portable optical devices Her publications (2021–2024) reflect a trajectory toward high-resolution neuroimaging solutions and translational applications in critical care. Current projects explore fiber-based tomography system optimization and multi-wavelength spectroscopy for enhanced diagnostic accuracy.

Jifu TanView profile

Assistant Professor

• Fluid-Structure Interaction
• High-Performance Computing
• Multiscale/Multiphysics Modeling
• +6 more

Jifu Tan is an Assistant Professor in the Department of Mechanical Engineering at Binghamton University. Previously, he served as an Assistant Professor and later Associate Professor at Northern Illinois University (NIU), and completed a postdoctoral fellowship at the University of Pennsylvania. His research focuses on fluid-structure interaction, high-performance computing, multiscale modeling, and machine learning applications in engineering and medicine. He holds a BS in Civil Engineering from Beijing Jiaotong University and MS/PhD in Mechanical Engineering from Lehigh University. Notable recognitions include the 2024 David W. Raymond Award for Teaching Technology Innovation and the 2024 NSF CAREER Award. His research interests span computational fluid dynamics, microfluidic device design for cell separation, blood flow modeling, and thrombosis simulation. He develops open-source codes for multiphysics simulations and has pioneered parallel fluid-structure interaction models for nanoparticle transport and cellular suspensions. His work integrates physics-based machine learning and data-driven models to address challenges in healthcare and engineering. Recent contributions include studies on granular flow dynamics in conveyor systems, biomimetic fish locomotion analysis, and predictive modeling of disease transmission using dynamic mode decomposition. He collaborates with Argonne National Laboratory on multiphysics research and actively mentors students in computational and experimental projects. Scientific achievements include advancements in microfluidic sorting techniques, nanoparticle delivery systems, and computational tools for in situ visualization of blood flow simulations. His lab focuses on translating multiscale simulations into practical applications for drug delivery, medical diagnostics, and sustainable engineering solutions.

Amy ShawView profile

Assistant Clinical Professor

• Geriatric Medicine
• Elder Abuse Intervention
• Healthcare Policy
• +3 more

Amy Shaw, M.D., is an Assistant Professor of Clinical Medicine at Weill Cornell Medical College and a Joachim Silbermann Family Clinical Scholar (2019–2025). She specializes in geriatric medicine with a focus on elder mistreatment response systems and interdisciplinary care models. Her work emphasizes hospital-based interventions, caregiver dynamics, and program development for vulnerable elderly populations. Education: M.D. from University of California, San Francisco School of Medicine (2013) and B.A. from Columbia University (2008). She holds board certification in Internal Medicine. Research interests center on elder abuse detection and intervention, emergency department protocols for mistreatment response, and improving healthcare workflows for older adults. Key projects include the Vulnerable Elder Protection Team and expanding ED/hospital-based elder mistreatment programs. Her articles explore caregiver neglect strategies, program dissemination, and pandemic-related hospital readmissions. Dr. Shaw leads a U.S. Department of Justice-funded grant (2022–2025) to enhance acute elder abuse management through interdisciplinary teams. She collaborates with social workers and advocates to refine clinical protocols and educate healthcare providers on geriatric-specific care challenges. Her clinical practice integrates innovation and patient-centered approaches, such as gamified EHR training for fellows (Geri Consult Bingo) and curriculum development to reduce mental health stigma among medical trainees.

• Stochastic systems
• Applied probability
• Queueing systems
• +4 more

Ohad Perry is an Associate Professor in the Operations Research and Engineering Management (OREM) department at Southern Methodist University. His research focuses on stochastic systems, applied probability, and their applications in service systems, healthcare, and inventory management. He has contributed to the theoretical foundations of queueing systems and their practical implementations in healthcare and service industries. Education: B.Sc., Mathematics and Statistics, University of Haifa, 2004 (summa cum laude) M.S., Operations Research, Columbia University, 2005 Ph.D., Industrial Engineering and Operations Research, Columbia University, 2010 Research Interests: Perry’s work emphasizes performance analysis and control of stochastic systems, including queueing systems, healthcare operations optimization, and inventory management strategies. His methodologies integrate fluid and diffusion approximations, stochastic averaging principles, and heavy-traffic analysis. Grants and Advising: PI of NSF grants totaling over $1M, focusing on service systems, patient flow optimization, and queueing dependencies Advised students now at Tsinghua University, HKUST, Stanford, and Colorado School of Mines Labs/Teams: Collaborates with Northwestern Memorial Hospital and academic teams on healthcare capacity modeling and prehospital stroke diagnosis systems.

• Artificial Intelligence
• Data Science
• Cybersecurity
• +3 more

Gulzar Alam is a Researcher at the School of Computing, Engineering and Intelligent Systems (CEIS) at Ulster University, affiliated with the AICC (Advanced Innovation and Collaborative Centre). His work focuses on interdisciplinary research at the intersection of artificial intelligence, cybersecurity, and data-driven decision-making. Key areas include ontology development for healthcare data, secure software testing methodologies, and smart city applications. Research interests span AI-driven solutions for environmental challenges (e.g., waste management, water treatment optimization), healthcare informatics (predictive analytics and explainable AI), and cybersecurity frameworks for remote work environments. He explores human activity recognition (HAR) through sensor data analysis and develops tools for dataset quality assessment in AI research. Recent publications highlight trends in AI applications across multiple domains, including real-time traffic crash prediction systems and energy-efficient cloud resource management. His cybersecurity work addresses evolving social engineering threats and industrial control system vulnerabilities. Alam collaborates with industry partners to translate research into practical tools such as the CAT (Cybersecurity Awareness Training) framework. While no formal student advisees or grant details are disclosed, his research emphasizes open data utilization and ethical AI practices. He is based at the Belfast campus in room BC-04-315, contributing to the university’s strategic focus on innovation-driven education and industry collaboration.

• Entrepreneurship
• Marketing
• Sports Management
• +3 more

Dr Damian Gallagher is a Lecturer in Entrepreneurship at the Department of Global Business and Enterprise, Ulster University (Derry~Londonderry campus). He holds editorial roles on journals like the European Journal of Marketing and International Journal of Sports Marketing & Sponsorship, and chairs the Academy of Marketing Sports & Events Marketing Special Interest Group. His research focuses on small business marketing strategies, sports club management, and research methodologies. He completed a Fulbright Scholarship at the University of South Carolina (2013-14), investigating minor league sports marketing. His professional affiliations include the Northern Ireland Sports Forum and ad-hoc reviewing for multiple journals. Teaching interests span entrepreneurship, marketing, and research methods. Recent work explores social media’s role in small sports clubs, tailgating revenue models, and Gaelic Athletic Association strategic direction. His interdisciplinary approach bridges marketing theory with practical applications in SMEs and sports organizations.

Christian SkalkaView profile

Professor

• Programming Languages
• Cybersecurity
• Computational Methods in Environmental Science
• +4 more

Christian Skalka is a Professor and Chair in the Department of Computer Science at the University of Vermont (UVM), part of the College of Engineering and Mathematical Sciences. He joined UVM in 2002 and holds a Ph.D. from Johns Hopkins University, an M.S. from Carnegie Mellon University, and a B.S. from Saint John's College. His research focuses on programming languages, cybersecurity, and computational methods in environmental science. He teaches courses such as Programming Languages, Computer Networks, and Mobile Apps & Embedded Devices. Skalka’s work spans secure multi-party computation, intrusion detection using deep learning, and healthcare systems integration. Notable contributions include developing SMT-boosted security types for MPC, frameworks for secure network code verification, and cyber-physical systems for rehabilitation monitoring. His research often bridges theory and practice, with applications in healthcare, environmental science, and distributed systems. Publications highlight interdisciplinary collaboration, including work on federated learning privacy, snowpack modeling via machine learning, and audit logging formalization. His projects emphasize practical security solutions for real-world challenges in healthcare, environmental monitoring, and networked systems.

Monika BuscherView profile

Professor

• Mobilities Research
• Digital Ethics
• Disaster Response
• +3 more

Monika Buscher is a Professor of Sociology at Lancaster University , where she serves as Associate Director in the Centre for Mobilities Research . She co-edits the book series Changing Mobilities and leads interdisciplinary projects on decarbonising transport , disaster mobilities , and ethical IT innovation . Her research integrates phenomenology , ethnomethodology , and science and technology studies to explore the digital dimensions of mobile lives . Key focus areas include distributed collaboration , informational mobilities , and co-production of socio-technical futures , with methodologies combining mobile ethnography , design practices , and public sociology . Monika’s recent work addresses informationalization in emergency response , emphasizing social media engagement , data protection , and community-driven resilience . She has supervised PhDs on topics like Weibo crisis communication , slow cycling utopias , and locative art practices . Scientific Awards: Honorary Doctorate, Roskilde University, Denmark