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Heather Battey is a Professor in the Department of Mathematics at Imperial College London's Faculty of Natural Sciences. Her work bridges foundational statistical theory with practical scientific applications, focusing on parametrization effects, sparsity, and high-dimensional inference. Education PhD, University of Cambridge (2008-2011) Research Interests Battey's research examines how model structure and parametrization influence inferential procedures, particularly in high-dimensional settings. She investigates the equivalence between sparsity and reparametrization, and challenges traditional Fisherian statistical abstractions through modern practices. Her publications reveal a pattern of innovation in high-dimensional regression, covariance matrix analysis, and statistical methodology for complex data. Collaborations span disciplines including machine learning, economics, and biomedical research. Scientific Awards Fellow of the Institute of Mathematical Statistics (2023) EPSRC Early Career Research Fellowship (2020-2026) EPSRC Postdoctoral Research Fellowship (2017-2020) Advising and Grants Battey supervises PhD students Charlotte Edgar, Jakub Rybak, and Rebecca Lewis, with informal guidance to Henrique Hoeltgebaum. Over 15 pre-doctoral researchers have been mentored in topics ranging from support vector machines to spatial point processes. Current funding includes an EPSRC grant for theoretical foundations of inference with nuisance parameters and prior support for covariance matrix inference.

• Statistical Theory
• High-Dimensional Inference
• Sparsity in Statistics
• +3 more

Andrew Rice is a Professor of Computer Science at the University of Cambridge's Department of Computer Science and Technology, and holds the Hassabis Fellowship in Computer Science. He is also the Director of Studies in Computer Science at Queens' College. His research focuses on programming languages, software engineering, and machine learning applications in software development. He leads projects like Isaac Computer Science and ALTA (Automated Language Teaching and Assessment), advancing adaptive learning technologies. His work includes static analysis tools such as Error Prone at Google, energy efficiency studies in computing infrastructure, and contributions to the Computing for the Future of the Planet initiative. His teaching emphasizes practical skill development through flipped classrooms and video lectures, earning him the 2014 Pilkington Prize for teaching excellence. He has held visiting roles at Google and collaborated on energy consumption research for mobile devices and data centers. His research spans systems, networking, and natural language processing, with a strong focus on applying computational methods to real-world challenges. Key Projects: Isaac Physics/Computer Science, ALTA, Error Prone Static Analysis Research Themes: Programming Languages, Machine Learning, Energy Efficiency Awards: Pilkington Prize (2014)

• Programming Languages
• Machine Learning
• Artificial Intelligence
• +4 more

Jeremy Gibbons is a Professor of Computing at the University of Oxford, affiliated with the Department of Computer Science within the Faculty of Computer Science. He serves as Director of the Professional Programmes, overseeing part-time postgraduate degrees in Software Engineering. His roles include Chair of the Faculty of Computer Science (2012–2016), Director of the Software Engineering Programme, and Fellow of Kellogg College. Gibbons' research focuses on programming methodologies, particularly functional and object-oriented languages, with an emphasis on program calculation, design patterns, and bidirectional transformations. He leads the Algebra of Programming research group and is Editor-in-Chief of the Journal of Functional Programming and The Art, Science, and Engineering of Programming . Education includes a D.Phil. from Oxford University. His work spans formal methods, domain-specific modeling for clinical trials (e.g., CancerGrid project), and semantic frameworks for software systems. He has advised numerous students and contributed to open-access initiatives in publishing. Key collaborations include roles in ACM SIGPLAN and IFIP Working Groups 2.1 and 2.11. Research interests emphasize foundational aspects like profunctor optics, categorical programming, and algorithm design. Notable projects include datatype-generic programming and metadata-driven engineering for clinical trials. His work bridges theoretical computer science with practical applications in software architecture and system design.

• Functional Programming
• Programming Languages
• Software Engineering
• +3 more

Shima Abdullateef is a Postdoctoral Research Fellow at the Centre for Medical Informatics within the Usher Institute, College of Medicine and Veterinary Medicine at the University of Edinburgh. Her work bridges biomedical engineering and clinical medicine through computational modeling and data science applications. Education: PhD in Biomedical Engineering, Brunel University London (2016-2020) MSc in Biomedical Engineering, University of Surrey (2014-2015) BSc in Biomedical Engineering (Bioelectrics), Science and Research IA University (awarded 2013) Research Focus: Dr. Abdullateef specializes in two interconnected domains: computational hemodynamics modeling arterial wave propagation and reflection phenomena, and machine learning-driven seizure detection using minimal-density EEG montages. Her arterial research investigates how vascular geometry impacts blood pressure dynamics, while her neuroscience work develops practical clinical tools for critical care seizure monitoring that reduce electrode requirements by 50-75% compared to standard EEG setups. Publication Trends: Her 15 most recent publications (2018-2025) reveal a strategic shift from pure cardiovascular modeling toward integrated neurological applications, with 60% focusing on seizure detection algorithms. The work consistently applies one-dimensional computational models and phase-synchrony analysis to solve clinical monitoring challenges, particularly in resource-constrained pediatric intensive care settings. Active Projects: A Window in the Brain: Developing a novel seizure detection tool for pediatric critical care (since 2020), funded through University of Edinburgh research channels Collaborative Environment: She operates within the Centre for Medical Informatics' interdisciplinary ecosystem, collaborating with clinicians from Edinburgh BioQuarter and data scientists to translate engineering solutions into clinical practice, with particular emphasis on making neurocritical care monitoring more accessible through reduced-sensor EEG technology.

• Biomedical Engineering
• Medical Informatics
• Computational Physiology
• +3 more

Professor Peter Watkinson serves as Professor of Intensive Care Medicine at the University of Oxford and is an NHS consultant in intensive care at the Oxford University Hospitals NHS Foundation Trust. He leads the Critical Care Research Group based at the Kadoorie Centre for Critical Care Research & Education at the John Radcliffe Hospital, Oxford. His work bridges clinical practice with academic research in the field of critical care medicine through the Nuffield Department of Clinical Neurosciences. Professor Watkinson's research primarily focuses on the identification of deteriorating patients in hospital settings. His work encompasses: Design and implementation of studies on wearable monitoring devices Exploration of non-contact monitoring technologies Analysis of standard electronically-recorded patient descriptors Pattern recognition in vital signs data to predict clinical deterioration Development of electronic monitoring systems Application of human factors techniques for technology integration in healthcare Assessment of long-term effects of critical illnesses on patient quality of life The Critical Care Research Group maintains a strong collaborative link with the University of Oxford Institute of Biomedical Engineering. Using data collected from thousands of patients' vital signs both in Oxford and elsewhere, the multi-disciplinary team investigates patterns that precede and predict clinical deterioration in hospitalized patients. Recent publications indicate a strong focus on early warning scores, patient monitoring technologies, and the application of machine learning approaches to critical care data. Professor Watkinson's research output demonstrates consistent productivity with numerous 2024-2025 publications spanning systematic reviews of early warning systems, development of novel monitoring technologies, and analytical approaches to predicting patient deterioration. His work frequently employs rigorous methodology including systematic reviews, meta-analyses, and innovative study designs to address critical questions in intensive care medicine. As leader of the Critical Care Research Group, Professor Watkinson oversees a multi-disciplinary team investigating vital sign patterns and developing predictive algorithms that have direct clinical applications. The group's research has significant implications for improving patient safety through earlier recognition of clinical deterioration and more effective resource allocation in hospital settings.

• Critical Care Medicine
• Intensive Care
• Patient Deterioration Monitoring
• +6 more

Benjamin Bach serves as a Reader (equivalent to Associate Professor) in Data Visualization and Design within the School of Informatics at the University of Edinburgh, where he maintains active faculty status as of the page's publication date (October 24, 2024). He is formally affiliated with the Institute for Language, Cognition and Computation, contributing to the university's interdisciplinary research ecosystem in computational sciences. His research spans Data Visualization, Design, Computational Linguistics, Cognitive Science, and Human-Computer Interaction, with emphasis on developing visual representation frameworks that enhance human interpretation of complex data systems—particularly in language processing and cognitive modeling contexts. This work bridges theoretical design principles with practical applications in data-intensive domains. Dr. Bach's professional contact includes the email address bbach@exseed.ed.ac.uk and a personal website, though specific educational credentials remain undocumented in available sources. Regarding academic contributions, no details about graduate student supervision, research funding, or laboratory infrastructure are provided; however, his Institute for Language, Cognition and Computation affiliation indicates collaborative engagement with researchers exploring language, cognition, and computational methodologies.

• Data Visualization
• Design
• Computational Linguistics
• +3 more

Dr. Ben Williamson is a Senior Lecturer in Digital Education at the University of Edinburgh's Moray House School of Education and Sport, affiliated with the Institute for Education, Community & Society (IECS) and the Centre for Research in Digital Education. His work critically examines how digital technologies, data infrastructures, and biometric/neurotechnological practices shape educational futures. Key areas of focus include the role of venture capital in education, algorithmic governance, and the privatization of educational systems. His research has been funded by the Leverhulme Trust and the Economic and Social Research Council (ESRC). Notable publications include Big Data in Education: The Digital Future of Learning, Policy, and Practice (2017). He maintains the Code Acts in Education blog and is active on Twitter as @BenPatrickWill. Williamson’s research explores intersections between biology and education (e.g., educational genomics), financial markets in schooling, and the governance of educational data by tech corporations. He critiques how platforms like Google Classroom and investors such as Amazon reshape educational practices and policies. His work emphasizes sociotechnical and infrastructural analyses of educational change. He supervises PhD students focusing on data-centric education policies, digital technology in education governance, and emerging biometric sciences in learning contexts. His articles analyze global EdTech dynamics, pandemic-driven privatization, and the ethical implications of biosocial education. Williamson’s affiliations include the Edinburgh Futures Institute, where he collaborates on future-oriented educational research. He has contributed to policy innovation labs and studies the impact of corporate actors like Pearson and the Chan Zuckerberg Initiative on educational systems.

• Digital Education
• Data-Intensive Practices in Education
• Educational Policy and Governance
• +4 more

Daniel Powell is a Senior Lecturer in Health Psychology and Programme Director of the MSc Health Psychology at the University of Aberdeen, School of Medicine, Medical Sciences and Nutrition. He is a core member of the Aberdeen Health Psychology Group and the interdisciplinary Centre for Labour Market Research. He holds a PhD from the University of Southampton and became a Fellow of the Higher Education Academy in 2019. His educational background includes: BSc (Hons) Psychology – University of the West of England, 2007 MSc Health Psychology – University of Southampton, 2009 PhD Psychology – University of Southampton, 2014 Daniel's research focuses on health psychology, particularly using intensive longitudinal methods such as ecological momentary assessment (EMA) to study stress, fatigue, self-regulation, and decision-making in real-world contexts. His work spans chronic illness (e.g., multiple sclerosis, diabetes), healthcare professionals (e.g., doctors, nurses), and occupational settings (e.g., fly-in fly-out workers). He leads the Stress and Health Research Theme and convenes regular workshops to support health psychology researchers. His methodological expertise includes real-time data collection, psychophysiology (e.g., heart rate variability, cortisol), and interdisciplinary collaboration with health economics, primary care, and bioengineering. His recent publications (2024–2025) reveal a strong trend in investigating decision fatigue in healthcare, stress and recovery patterns in medical professionals using biometric monitoring, and the psychosocial impact of shift and rotation work. He frequently employs EMA and systematic reviews to explore behavioral patterns in context. His work also extends to sustainable clinical research and digital health tools for pandemic response. His scientific recognition includes: Stan Maes Early Career Award, European Health Psychology Society (2019) Rosemary Anne Price Student Award, MS Society (2013) Daniel actively supervises five PhD students on topics including decision fatigue in healthcare, quality of life after limb loss, stress in medical and dental students, and low-carbon clinical trials. He teaches across postgraduate programs, coordinates the PU5053 course on Stress, Personality & Health, and co-founded an annual Summer School in Intensive Longitudinal Methods. He has no indication of part-time status and is actively engaged in research, teaching, and leadership. He is affiliated with several professional organizations, including the British Psychological Society (Chartered Psychologist), Division of Health Psychology, European Health Psychology Society, and UK Society for Behavioural Medicine. His research lab is embedded within the Aberdeen Health Psychology Group, which fosters interdisciplinary collaboration and methodological innovation in health behavior research.

• Health Psychology
• Stress and Psychoneuroendocrinology
• Fatigue and Decision Fatigue
• +7 more

Dr. Miguel Rico-Ramirez serves as Associate Professor of Radar Hydrology and Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering. His research integrates advanced radar technology with hydrological modeling to address critical water resource challenges including flood forecasting, drought management, and precipitation measurement across diverse global contexts from South Korea to Mexico City. Education: Bachelor of Engineering (Eng.) Master of Engineering (M.Eng.) Ph.D. in Engineering, University of Bristol His research program focuses on radar-based precipitation estimation, hydroinformatics, and flood prediction systems. He pioneers deep learning applications for rainfall nowcasting and develops innovative methods for uncertainty quantification in hydrological modeling. Current work emphasizes cosmic-ray neutron sensor validation, satellite-based flood mapping, and seasonal forecast applications for reservoir operations, with strong emphasis on translating research into operational water management solutions. Recent publications (2023-2025) reveal three dominant research thrusts: (1) deep learning frameworks for spatiotemporal rainfall prediction, (2) global validation of precipitation and soil moisture datasets using novel sensor networks, and (3) operational implementation of seasonal forecasts for drought mitigation in South Korea. His work consistently bridges radar meteorology with practical hydrological applications across urban and data-scarce environments. Scientific Awards: No specific awards documented in source materials Dr. Rico-Ramirez supervises postgraduate researchers in radar hydrology and hydroinformatics, with projects spanning flood early warning systems, precipitation nowcasting, and climate adaptation strategies. His research receives funding for international collaborations focused on water security challenges, particularly in drought-prone regions and data-scarce basins like the Nile Delta. Current grants support development of integrated forecasting systems combining global datasets with machine learning for extreme event management. He leads the Radar Hydrology research group within Bristol's Water and Environmental Engineering division, collaborating closely with Professor Dawei Han on hydroinformatics and Dr. Rafael Rosolem on water-climate interactions. The team maintains active partnerships with meteorological agencies and water authorities globally, particularly in flood forecasting system implementation across South Korea and Mexico.

• Radar Hydrology
• Hydroinformatics
• Flood Forecasting
• +3 more

Dr. George Chalhoub is a Lecturer (Assistant Professor) in Human-Computer Interaction at the UCL Interaction Centre (UCLIC), Department of Computer Science, University College London (UCL). He is also an Associate Member at the Department of Computer Science, University of Oxford, and a 2024–2025 Berkman Klein Fellow at the Berkman Klein Center for Internet & Society, Harvard Law School, Harvard University. His multidisciplinary research bridges cybersecurity, privacy, and human-centered computing, focusing on real-world technology use. DPhil in Cyber Security, University of Oxford (supported by Information Commissioner’s Office) MSc in Computer Science, University of Southampton (supported by Lloyd’s Register) BS in Computer Science, Lebanese American University His research centers on the security, privacy, and safety of digital technologies through a user-centered lens. Key areas include AI-powered systems (e.g., LLMs, smart assistants), emerging technologies in the wild (e.g., smart homes, IoT), embedded devices (e.g., routers), marginalized communities, data workers in AI, and online content creators. His work integrates UX principles to improve data protection in healthcare (e.g., NHS records) and children’s apps, with implications for GDPR compliance and responsible AI innovation. The analysis of his recent publications reveals a consistent focus on empirical studies of user experience in security and privacy, particularly in smart homes and data-intensive applications. His work spans design interventions, ethical frameworks, and policy-relevant findings, published in top venues like CHI, CSCW, SOUPS, and IJHCS. Themes include consent design, communal privacy, vulnerability patching, and developer support for privacy. UK Global Talent Visa recipient, UK Research and Innovation 2024–2025 Berkman Klein Fellow, Harvard University Dr. Chalhoub has advised on research projects related to secure networking by design and responsible AI (e.g., EWADA, RoboTIPS). He has received grant support from the Information Commissioner’s Office for his doctoral work. He is available for consultancy, collaborative research, grant assessment, and supervision of research degrees. His professional experience includes internships at Microsoft Research (Calc Intelligence) and Nokia Bell Labs (Social Dynamics), contributing to projects in AI and social computing. He is affiliated with research groups including the Human-Centered Computing group at Oxford, the UCL Interaction Centre (UCLIC), and the Berkman Klein Center at Harvard. His work is supported by tools and frameworks developed in collaboration with interdisciplinary teams focused on cybersecurity ethics, data governance, and platform accountability.

• Cybersecurity
• Privacy and Data Protection
• Human-Computer Interaction
• +12 more

Professor Elena Giovannoni is a full-time faculty member at the University of Birmingham , where she holds the position of Professor of Accounting and serves as Head of the Department of Accounting within the Birmingham Business School . She is an active researcher and academic leader with a strong international presence. Research Interests: Elena Giovannoni's research bridges critical and historical perspectives in accounting and organization studies. She investigates performance measurement and management control systems across diverse sectors—including the space industry, food industry, knowledge-intensive organizations, and the arts—with a focus on organizational change and sustainable development. Her work explores how calculative practices shape responses to climate change, often through a temporal lens. Methodologically, she employs case studies , archival research , and multimodal approaches . Recent Publications Trends: Her recent scholarly output (2018–2025) reveals a consistent focus on the interplay between accounting, history, and visuality. She examines accountability in cultural contexts (e.g., music, art), the materiality of organizational objects, and the future of sustainability reporting. Her editorial work on the Handbook of Historical Methods for Management underscores her leadership in advancing historical methodologies in management research. Scientific Recognition: Higher Education Academy Fellowship (2017) Editorial Board Member, Accounting Forum Editorial Board Member, Accounting, Auditing & Accountability Journal Editorial Board Member, Accounting History Editorial Board Member, Family Business Review Editorial Board Member, Organization Studies Advising and Grants: She has led multiple projects funded by international bodies, resulting in publications in top-tier journals. While no specific advisees are listed, her role as department head and PhD supervisor implies significant mentoring responsibilities. She contributes to academic knowledge dissemination through editorial leadership and collaborative research. Labs and Research Groups: While no formal lab is mentioned, her research is closely tied to the Department of Accounting and its research clusters, particularly those focused on critical accounting, sustainability, and historical methods. Her collaborative work with scholars across Europe indicates strong international research networks.

• Accounting
• Critical Accounting
• Historical Accounting
• +10 more

Yusuf Hartavi is an Assistant Professor of Finance at the Birmingham Business School, University of Birmingham Dubai, located in Dubai International Academic City. He is also the Head of External Engagement at the Dubai campus, contributing to academic-industry partnerships and outreach initiatives. Education: PhD in Finance, University of Reading MSc in International Securities, Investment and Banking MSc Business Administration (MBA) BSc in Business Administration BSc in Industrial Engineering His research focuses on data-intensive empirical analysis of financial markets, particularly the impact of high-frequency and algorithmic trading on market quality indicators such as liquidity and volatility. He has conducted influential research on the risk profile of the London Stock Exchange’s Alternative Investment Market (AIM), challenging conventional views about its inherent riskiness. His work combines quantitative methods with real-world financial data to inform market structure policies and investment strategies. His recent publications include a key 2015 book that presents compelling empirical evidence on trading dynamics and risk in AIM, co-authored with leading scholars. The research demonstrates trends in market microstructure and contributes to broader discussions on equity market efficiency and regulation. Scientific Awards: No awards listed in the provided text. Yusuf Hartavi has extensive teaching experience across undergraduate and postgraduate programs in Financial Markets and Quantitative Finance. He previously served as a sessional lecturer at Henley Business School, where he designed and delivered Programming for Finance workshops. He has taught modules including Financial Modelling Techniques, Corporate Finance, and International Treasury Management. There is no mention of research grants in the provided text. He is affiliated with the Department of Finance at Birmingham Business School and contributes to research and academic engagement at the University of Birmingham Dubai campus. His work bridges academic research and practical applications in financial services and policy.

• Finance
• Financial Markets
• Quantitative Finance
• +7 more

Dr. Deborah Goode is a Senior Lecturer in Nursing at Ulster University and serves as the Associate Head of School of Nursing within the School of Nursing and Paramedic Science, Faculty of Life & Health Sciences. She is an intensive & critical care nurse with extensive experience in both clinical practice and academic leadership. Ulster University, Belfast campus (Room BC-04-174, 2-24 York Street, Belfast, BT15 1AP) Magee Campus, Northlands Road, Londonderry, BT48 7JL Her research interests focus on older people with mental health needs, prehospital and emergency care, critical care nursing, nurse education, social media and digital learning applications in healthcare education, person centredness, and end of life care. Dr. Goode has developed expertise in digital health interventions, particularly in dementia care through projects like the InspireD reminiscence app. Her recent publications demonstrate a strong focus on emergency care for older adults with mental health needs, digital health interventions for dementia care, and innovative approaches to nursing education. She has made significant contributions to understanding how social media can be leveraged as a learning tool in healthcare education. Highly Commended, Mobile App of the Year for Inspired Dementia Reminiscence App (2021) Marcia Mackie Scholarship (2016) Marthan McMenamin Scholarship (2016) Ulster Institute of Nursing Research Fellowship (2009) Dr. Goode serves as Academic Lead for post registration business and is the Athena Swan Chair for Nursing. She has supervised numerous PhD students including Olivia Briggs, Mary Dunnion, Diane Lyttle, Lorraine McAteer, and Joanne McConville. She is actively involved in multiple research projects, most notably the 6-year project 'Developing and testing the InspireD reminiscence app as a stand-alone support for people living with dementia and their families' (2019-2025) where she serves as a Co-Investigator. Her external roles include serving as an External Examiner for the Universities of Manchester and Swansea, and participation in various steering groups including the Critical Care Nursing Career Pathway Steering Group and the Nursing and Midwifery Task Group. Dr. Goode holds a PhD from Ulster University on 'a study of attendance trends and care experiences of older people with mental health needs in Emergency Medical Service settings' (awarded July 2019), an MSc in Nursing from Queen's University Belfast, and additional qualifications including a Post Graduate Specialist Certificate in ICU and PGDip in Nurse Education from Ulster University. She is a Senior Fellow of the Higher Education Academy, CHERP Fellow, and Associate member of the Association for Learning Technology.

• Older people with mental health needs
• Prehospital care
• Emergency care
• +6 more

Antonio Dello Iacono is an Associate Professor (Reader) in Strength and Conditioning at the University of the West of Scotland's Division of Sport, Exercise, and Health within the School of Health and Life Sciences. With 20 years of combined experience in elite sport practice, teaching, and research, his work focuses on elite performance conditioning, training load monitoring, and technology integration in sports. He leads the Sports Performance Interest Group, coordinating industry-collaborative applied research projects. His research aims to develop personalized exercise prescription models to enhance individualized training outcomes, reduce overtraining risks, and improve health outcomes. Education & Positions Scientific Associate at University of Split (since 2017) Research Focus His primary research goals involve transitioning from rigid exercise protocols to personalized approaches tailored to individual abilities and stressors. Key areas include autoregulation methods in resistance training and interdisciplinary research integration. He contributes to UN Sustainable Development Goals related to health and well-being. Collaborations & Activities Peer reviewer for Frontiers in Physiology (2022) Invited speaker at ECSS conferences (2018–2021) Media engagements include discussions on mental training's physical benefits and collaborative partnerships Lab/Teams Leads the Sports Performance Interest Group, fostering applied research with industry partners.

• Sports Science
• Strength and Conditioning
• Exercise Physiology
• +5 more

Dr. Tsz-Yan Milly Lo is an Honorary Reader at the University of Edinburgh’s Usher Institute and a Consultant Paediatric Intensivist at the Royal Hospital for Children and Young People in Edinburgh. She leads the Research Programme in Paediatric Critical Care Medicine and holds the NHS Research Scotland Career Research Clinician Award. Her work focuses on leveraging data informatics to improve outcomes for critically ill children, particularly in neurocritical care and brain trauma. She leads international initiatives like KidsBrainIT (a EU-funded pediatric brain trauma data initiative) and Window in the Brain (developing seizure detection tools). Dr. Lo’s education includes clinical training across Edinburgh, Birmingham, and Melbourne, complemented by a PhD and post-doctoral fellowships in Edinburgh and Toronto. Her research spans clinical informatics, multi-disciplinary data integration, and translational medicine. Key collaborations include academic, clinical, and industry partnerships (e.g., with BrainsView Ltd and engineers at the University of Edinburgh). Her scientific impact includes over 20 peer-reviewed publications, with recent work emphasizing intracranial pressure monitoring, EEG-based seizure detection, and pediatric critical care quality improvement. Her grants total over €1M, including EU NEURON funding and MRC support. She supervises a dynamic research team focusing on innovation in critical care informatics and clinical excellence. Grants: £90,953 (G-WiB), £298,740 (WiB-2), £103,164 (WiB-1), €621,834 (KidsBrainIT). Public Engagement: Launched Scotland’s first PPIE group for pediatric critical care (Intensive-Share). Her lab, IMPACT-ACE, emphasizes clinician-scientist collaboration to drive evidence-based improvements in pediatric critical care. Current projects include global seizure detection tools and pediatric brain trauma big-data analytics.

• Pediatric Critical Care
• Data Informatics
• Neurocritical Care
• +3 more