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Professor Ruth Plummer is a leading clinical oncologist and cancer drug development specialist at Newcastle University's Faculty of Medical Sciences, where she serves as Professor within the Northern Centre for Cancer Care. Her career spans over two decades of pioneering work in early phase clinical trials and novel cancer therapeutics. Professor Plummer's research focuses on developing innovative cancer treatments with particular expertise in DNA damage response mechanisms, PARP inhibitors, and targeted therapies for melanoma and other solid tumors. Her work bridges laboratory discoveries with clinical applications, emphasizing the translation of basic science into effective patient treatments. She has been instrumental in numerous first-in-human and phase I/II clinical trials that have shaped modern cancer therapeutics. Her extensive publication record demonstrates consistent leadership in cancer research, with recent work focusing on combination therapies, immunotherapy approaches, and precision medicine strategies. Professor Plummer's research has significantly contributed to our understanding of how to effectively target DNA repair pathways in cancer cells, particularly through PARP inhibition. Principal Investigator for multiple national and international clinical trials Expert in phase I/II trial design and implementation Specialist in biomarker development for treatment response prediction Leader in establishing infrastructure for cancer drug development Professor Plummer has received research funding from major cancer research organizations and pharmaceutical partners to support her innovative clinical trial programs. Her work has directly influenced treatment guidelines and therapeutic approaches for multiple cancer types, particularly in melanoma and ovarian cancer where PARP inhibitors have become standard of care.

• Clinical Oncology
• Cancer Drug Development
• PARP Inhibitors
• +5 more

Professor James Gates is a Professorial Fellow (Research) at the University of Southampton, specializing in photonic engineering, quantum technologies, and ultra-precision fabrication. With over 25 years' experience, he leads a research team developing proprietary techniques like flame hydrolysis glass deposition and air-bearing stabilized laser inscription for applications in quantum computing, telecommunications, and aviation sensing. Quantum Technologies Integrated Photonics Ultra-precision Machining His research focuses on overcoming fabrication challenges in quantum systems, including optical waveguides, superconducting components, and atom trap technologies. Recent work involves intermodal four-wave mixing for broadband wavelength conversion and diamond machining of photonic circuits. Current projects include EPSRC-funded initiatives UPROAR and PURE, plus leadership roles in the Quantum Computing Hub and CDT in Quantum Technology Engineering. His team has contributed to over £100m in research grants. Research group award: Highly Commended (2017) Vice Chancellor's Award (2012) Professor Gates supervises multiple PhD students and collaborates on international projects, including quantum hubs in Oxford and Birmingham. His work bridges academic research with commercial applications through patented fiber assembly methods and invited technical reviews.

• Quantum Technologies
• Photonic Engineering
• Integrated Photonics
• +3 more

Xin Chen is an Associate Professor of Computer Science at the University of Nottingham, School of Computer Science. He is an IEEE Senior Member with expertise in medical image analysis, computer vision, and machine learning. His educational background includes BEng and PhD degrees, though specific institutions are not mentioned in the provided text. Chen's research focuses on medical image processing with particular emphasis on image segmentation, registration, and motion analysis. His work applies computer vision and machine learning techniques to solve medical challenges in areas such as wrist injury analysis, diabetes care, breast cancer screening, and MRI reconstruction. His team develops algorithms for 2D/3D image segmentation, image registration, statistical shape/motion modeling, and CT & MRI image reconstruction. His recent publications (2023-2025) show a strong focus on deep learning approaches for medical image analysis, particularly segmentation and registration tasks. These works often incorporate innovative techniques like fuzzy systems, transformer networks, and uncertainty modeling to address challenges in medical image analysis. IEEE Senior Member Chen has successfully supervised multiple PhD students to completion and currently mentors several PhD candidates. His research is supported by significant grants from Wellcome Leap, MRC, ERC, NIHR/NHSx, Weston Brain Institute, British Heart Foundation, and Precision Imaging Beacon. His team, the Intelligent Modelling & Analysis Group, focuses on translating computer vision and machine learning research into practical medical applications. The group maintains active collaborations with medical researchers and clinicians, developing software tools for 2D/3D interactive image segmentation and automatic nerve fiber quantification in corneal confocal microscopy images.

• Medical Image Analysis
• Computer Vision
• Machine Learning
• +7 more

Richie Gill is a Professor in the Department of Mechanical Engineering at the University of Bath, affiliated with the Centre for Therapeutic Innovation (CTI), Centre for Bioengineering & Biomedical Technologies (CBio), and the Bath Institute for the Augmented Human. Currently accepting doctoral students, he serves as Co-Vice Chair of CTI and holds leadership roles in major orthopaedic societies including the British Orthopaedic Research Society. Education: Doctor of Science in Medical Engineering, University of Bath (2022) - Optimising Treatment for Osteoarthritis of the Hip and Knee Doctor of Philosophy in Engineering Science, University of Oxford (1996) - The Mechanics of Heelstrike During Level Walking Bachelor of Engineering in Aeronautical Engineering, University of Bristol (1989) Research Interests: Professor Gill's work centers on orthopaedic biomechanics with emphasis on hip/knee joint function, disease mechanisms, and implant performance . He pioneers finite element modeling and computational simulation to advance surgical treatments, leveraging bioengineering principles for musculoskeletal innovation. His research directly contributes to UN Sustainable Development Goals for health and well-being. Research Trends: Recent publications (2025) reveal accelerating focus on sustainable orthopaedics through additive manufacturing, AI-driven diagnostic modeling for hip dysplasia, and life-cycle assessment of surgical interventions. His work bridges engineering precision with clinical outcomes, particularly in osteoarthritis treatment optimization and implant biomechanics. Scientific Awards: Nomination for ICORS best poster prize at ORS Phoenix (2020) 2nd prize for Best Podium Presentation at BORS/Bone Research Society meeting (2019) Advising and Grants: With 13 supervised students, Gill leads major funded projects including Innovate UK's "Trueview system for safer spinal surgery" (2024-2026), The Royal Society's "Entrepreneur in Residence" program (2024-2026), and EPSRC's "BioMed 4.0" hospital manufacturing initiative (2021-2025). His grant portfolio spans spinal innovation, joint replacement monitoring, and climate-impact reduction in surgery. Labs and Teams: Gill co-leads the Centre for Therapeutic Innovation and actively collaborates with CBio and the Bath Institute for the Augmented Human. These interdisciplinary hubs integrate mechanical engineering, clinical practice, and industry partnerships to translate computational models into surgical solutions, with strong ties to European biomechanics societies.

• Orthopaedic Engineering
• Musculoskeletal Engineering
• Biomechanics
• +5 more

Professor Simon Hettrick serves as a Professorial Fellow Enterprise at the University of Southampton's School of Electronics and Computer Science (ECS), where he leads initiatives through the Web and Internet Science research group and the Southampton Research Software Group (SRSG). His work bridges academic research and industry applications, focusing on professionalizing research software engineering practices and developing policy frameworks that enhance research reproducibility and impact across scientific disciplines. His primary research interests center on research software engineering sustainability, digital skills development for researchers, and innovative approaches to research evaluation. Hettrick investigates how FAIR principles can be extended to research software, examines policy development for arts and humanities communities, and explores the critical role of software engineering in accelerating biomedical discoveries. His work consistently emphasizes community building, recognition frameworks for software contributions, and practical training solutions for the research ecosystem. Analysis of his recent publications reveals a clear trajectory toward establishing research software engineering as a recognized academic discipline, with growing emphasis on career pathways, policy influence, and cross-domain applications. His work shows increasing integration of software engineering practices into biomedical research translation and arts/humanities scholarship, while maintaining strong focus on community-driven solutions and sustainable infrastructure development. Professor Hettrick actively supervises PhD candidates including Mada Mansour A Alaskar in Computer Science. He has secured substantial research funding from major bodies including EPSRC and the Arts & Humanities Research Council for projects such as Software Sustainability Institute Phase 4, Embedding Trust in Evaluation, and Careers and Skills for Data-driven Research (CaSDaR). He operates within the Southampton Research Software Group (SRSG) and Web and Internet Science group, which provide critical infrastructure for interdisciplinary collaboration. These groups facilitate national initiatives like the Software Sustainability Institute and drive forward the integration of professional software engineering practices across academic research domains.

• Research Software Engineering
• Software Sustainability
• Research Evaluation
• +3 more

Professor Camille Carroll is a Professor of Clinical Neuroscience at Peninsula Medical School, Newcastle University, and an Honorary Consultant Neurologist at University Hospitals Plymouth NHS Trust. She serves as the National Specialty Lead for Neurodegenerative Diseases and NIHR CRN Clinical Co-Director for the Parkinson's Excellence Network, Parkinson's UK. She is actively involved in national and international research leadership, including co-chairing the international Linked Clinical Trials Committee and serving on the EAN/MDS-ES Parkinson's Disease Guidelines Task Force. Professor of Clinical Neuroscience, Peninsula Medical School Professor of Clinical Neuroscience, Newcastle University Honorary Consultant Neurologist, University Hospitals Plymouth NHS Trust National Specialty Lead for Neurodegenerative Diseases NIHR CRN Clinical Co-Director, Parkinson's Excellence Network, Parkinson's UK Professor Carroll's research is centered on Parkinson’s disease and neurodegenerative disorders, with a focus on disease-modifying therapies, clinical trial design, and patient-centered outcomes. Her work spans translational neuroscience, pharmacological interventions, and innovative methodologies such as federated learning in drug development. She is deeply engaged in improving clinical care through evidence-based guidelines and expert consensus. Her recent publications highlight a strong trend toward advancing Parkinson’s disease therapeutics through novel trial designs, AI integration, and comprehensive patient management. Articles in The Lancet , npj Parkinson's Disease , and Movement Disorders reflect her leadership in high-impact, interdisciplinary research aimed at modifying disease progression and enhancing quality of life. Member, Parkinson's UK College of Experts Member, Research Committee, Cure Parkinson's Trust Co-Chair, International Linked Clinical Trials Committee Member, EAN/MDS-ES Parkinson's Disease Guidelines Task Force Founding Member, UK Parkinson's Disease Clinical Studies Group Associate Editor, Journal of Parkinson’s Disease Professor Carroll is actively supervising 2 PhD students and has successfully guided 5 PhD and 1 Master’s student to completion. She leads and participates in major funded research initiatives, particularly in the area of neurodegenerative disease trials, though specific grant details are not listed. Her work is widely recognized, with extensive media coverage, citations, and influence on clinical guidelines. She is a key figure in the Parkinson’s research network, contributing to collaborative international studies and data-sharing initiatives aimed at accelerating therapeutic discovery. Her leadership in the Linked Clinical Trials Committee and involvement in federated learning projects underscore her role in shaping the future of neurodegenerative disease research.

• Parkinson's Disease
• Neurodegenerative Diseases
• Clinical Neuroscience
• +7 more

Dr. Silvia Ottaviani is a Senior Lecturer in Molecular Cell Biology at the Bioscience Department, School of Science and Technology, Nottingham Trent University (NTU), and Group Leader at the John van Geest Cancer Research Centre. She holds an Honorary Lecturer position at Imperial College London and is a Fellow of the Higher Education Academy (FHEA). Her academic journey includes a BSc in Medical and Pharmaceutical Biotechnology from San Raffaele University (Milan), an MSc in Molecular Medicine, and a PhD in Cancer Biology from Imperial College London. Her research focuses on non-coding RNAs (microRNAs and lncRNAs) in epithelial cancers, particularly pancreatic cancer. Key interests include: Regulation of metastatic processes through tumor microenvironment interactions Circulating microRNAs as clinical biomarkers Nanoparticle-based RNA therapeutics delivery Tumor heterogeneity via single-cell RNA sequencing COVID-19 biomarker discovery and therapeutic repurposing Current projects explore RNA-based interventions for advanced pancreatic cancer. Publication analysis reveals three primary domains: Pancreatic cancer biology (40% of recent works) COVID-19 therapeutics (35% since 2020) Novel drug delivery systems (25%) Her research consistently bridges molecular oncology with clinical translation, particularly in RNA therapeutics and biomarker development. Awards & Recognition: Finalist: COVID Unsung Hero Awards (Women in STEM) Grants & Collaborations: Secured £365k in funding including: British Society for Antimicrobial Chemotherapy (£25k, co-PI) Action Against Cancer (£340k, co-PI) Actively supervises postgraduate researchers and welcomes PhD applicants in molecular oncology. Leads an independent research group at the John van Geest Cancer Research Centre focused on translational RNA biology. Maintains editorial roles at Oncogene and Cancer Gene Therapy , and holds memberships in BACR, EACR, Biochemical Society, and FEBS.

• Non-coding RNAs
• Pancreatic Cancer
• MicroRNAs
• +4 more

David Gibson is a Professor of Medicine at the Ulster University School of Medicine , and serves as Research Group Lead at the Personalised Medicine Centre . With a PhD in Cancer Research from Queen’s University Belfast , he has over two decades of experience in proteomics, biomarker discovery, and pharmacogenomics. Specializes in rheumatoid arthritis and inflammatory diseases Developed BloodTrackR for home-based arthritis monitoring Created machine learning tool ATRPred for anti-TNF treatment decisions Current research spans biomarker validation and drug-gene compatibility His work intersects with UN Sustainable Development Goals for Good Health and Well-being (SDG3) . Recent collaborations include institutions in United States (University of Colorado, Denver) and United Kingdom (Queen’s University Belfast). Scientific Awards : 2023: American Association of Immunologists Laboratory Travel Grant 2020: American Association of Immunologists Early Career Grant 2009: Arthritis Research UK Travelling Fellowship 2008: Northern Ireland Science Park Biotech Innovation Award Key teaching areas include Biochemistry , Omics Technologies , and Inflammatory Disease Mechanisms . His publications cover topics from COVID-19 risk prediction to HLA haplotype-drug interactions in arthritis treatment.

• Proteomics
• Pharmacogenomics
• Rheumatoid Arthritis
• +3 more

Jonathan Binder is a part-time PhD candidate at the School of Arts and Humanities, specializing in mass customization for cranial anthropology in medical product development. He serves as a Medical Designer at Paxman Coolers Ltd, the global leader in scalp cooling solutions, while simultaneously working as a Medical Researcher at the world’s first Scalp Cooling and Research Innovation Centre. This multidisciplinary hub bridges academia, industry, SMEs, and hospitals to advance cancer treatment technologies. Education: BA, MA Affiliations: Paxman Coolers Ltd, Paxman Research & Innovation Centre, School of Arts and Humanities Jonathan’s research focuses on medical design and development, particularly addressing chemotherapy-induced alopecia and peripheral neuropathy through additive manufacturing, CAD, and sustainable design practices. His work aligns with UN Sustainable Development Goals, emphasizing healthcare innovation and inclusivity. Publications (2024-2025) highlight advancements in AI-driven design validation, CAD-technical textile integration for sustainable healthcare, and sensor-based prototyping. These contributions reflect his commitment to accelerating medical product development and improving patient outcomes. Scientific achievements include a Distinction for his master’s thesis Co-funded research by Innovate UK His professional activities encompass organizing international conferences and delivering invited talks on inclusivity in medical device design. Media coverage of his work spans applications like Paralympic thermal management and KTP collaborations for chemotherapy side-effect prevention.

• Medical design and development
• New product development
• Additive manufacturing
• +8 more

Dr. Akbar Sheikh Akbari is a Reader (equivalent to Professor) in the School of Built Environment, Engineering and Computing at Leeds Beckett University, where he has been a faculty member since 2015. His work bridges electronic engineering, artificial intelligence, and real-world applications in food safety and security. He leads cutting-edge research in image processing, hyperspectral imaging, and embedded systems, with strong industry collaborations. Education: BSc (Hons) in Electronic and Electrical Engineering MSc (Distinction) in Electronic and Electrical Engineering PhD in Electronic and Electrical Engineering, University of Strathclyde Dr. Sheikh Akbari's research focuses on biometric identification, deep learning, image super-resolution, multiview video processing, and assisted living technologies . His work applies advanced AI and signal processing techniques to solve industrial and societal challenges, particularly in digital forensics, food safety, and smart monitoring systems. He has led multiple Innovate UK-funded KTP projects, demonstrating strong translational impact. The recent publications and projects highlight a consistent trend in applied imaging technologies, AI-driven analytics, and embedded system design , with applications in agriculture, security, and retail. His work integrates machine learning with hardware systems to develop scalable, real-time solutions. Scientific Awards and Recognitions: KTP Partnership graded 'Outstanding' by Innovate UK Dr. Sheikh Akbari has successfully supervised ten PhD and two MRes students , demonstrating strong mentorship. He has secured significant research grants, including projects with Fathers Farm Foods Ltd (£294,274), Riverside Greetings (£169,433), and Omega Security Systems (£122,040), all focused on technology transfer and innovation. His grants emphasize industry collaboration, practical deployment, and societal benefit. He is associated with the Cybercrime and Security Innovation Centre , contributing to digital forensics and cybercrime research. His lab work involves developing real-time embedded video analytics and hyperspectral imaging systems, often in partnership with industrial stakeholders.

• Image Processing
• Hyperspectral Imaging
• Biometric Identification
• +12 more

Chiara La Sala is Professor of Italian and Higher Education Pedagogy at the School of Languages, Cultures and Societies, University of Leeds, Faculty of Arts, Humanities and Cultures. She serves as Programme Manager for joint honors degrees in Modern Languages with English, History, Philosophy, and other faculties. Her leadership roles include former Director of Italian and Residence Abroad Coordinator. Her research centers on second language acquisition and higher education pedagogy, with key interests in error analysis, language progress in ab initio learners, integration of the CEFR in HE, and digital resources for language learning. She explores pedagogical innovation, especially through the engagement of postgraduate research students in teaching and the enhancement of teaching practices during and after the pandemic. The most recent publications reflect a strong trend in digital learning, teacher development, and the scholarship of teaching and learning. Her work emphasizes reflective practice, student engagement, and the use of technology to support language acquisition and teaching effectiveness in higher education. Senior Fellow of the Higher Education Academy UKPSF@ Leeds Senior Fellow Individual Teaching Development Grant (HEA, 2013-14) LITE Fellowship (2020-21) LITE funding for pedagogical events (2023/24) She has led multiple funded scholarship projects on pedagogical innovation and second language acquisition, including LITE Fellowships and HEA grants. She mentors postgraduate teaching assistants and promotes collaborative scholarship. She has also supervised curriculum development projects and supports PhD candidates in applied linguistics and language education. She is actively involved in academic communities through editorial roles (e.g., Leeds Language Scholar Journal, Italianistica.it) and organizes events that foster professional development and community building among educators.

• Second Language Acquisition
• Error Analysis in SLA
• Language Progress in Ab Initio and Post-A Level Contexts
• +11 more

Professor Jenny Barrett is a leading academic in statistical genetics and genetic epidemiology at the University of Leeds, affiliated with the Faculty of Medicine and Health and the School of Medicine. She is based at the Leeds Institute for Data Analytics and has been a Professor since 2011, leading a statistical research group since 2000. Her work spans multiple complex diseases, including melanoma, rheumatoid arthritis, giant cell arteritis, and colorectal cancer. Education: PhD in Statistical Genetics, University of Sheffield, 1993 MSc in Statistics, University of Sheffield, 1990 BA in Mathematics and Philosophy, University of Oxford, 1976 Her research focuses on the development and application of advanced statistical methods in genetic studies, including genome-wide association studies (GWAS), fine-mapping, transcriptomic analysis, and risk modeling. She plays a key role in major international consortia such as GenoMEL, MELGEN, MATURA, MRC Target, and CORECT-R, contributing to biomarker discovery and personalized treatment strategies. The recent publications highlight a strong trend in translational biostatistics, integrating genomic data with clinical outcomes to predict disease risk and treatment response. Her work bridges methodological innovation with real-world applications in oncology, rheumatology, and vascular inflammation. Scientific Awards and Honors: Fellow of the Royal Statistical Society Fellow member of the International Genetic Epidemiology Society Professor Barrett is actively involved in postgraduate education, leading a module in genetic epidemiology and supervising multiple PhD students across diverse research areas. She has secured significant collaborative funding through national and international consortia, reflecting her leadership in data-driven medical research. Her research group operates within the Leeds Institute of Medical Research at St James's and the Statistics Research Group, fostering interdisciplinary collaboration. Laboratories and Research Groups: Leeds Institute for Data Analytics (LIDA) Leeds Institute of Medical Research at St James's Statistics Research Group

• Statistical Genetics
• Genetic Epidemiology
• Biostatistics
• +12 more

Jeremy Clark is a Research Fellow at the Norwich Medical School, University of East Anglia, and a member of the Metabolic Health research group. His work focuses on advancing non-invasive diagnostics for prostate cancer, particularly through urine-based biomarkers. Research Interests: His research spans prostate cancer biology, urine-based diagnostics, molecular oncology, microbiome interactions, and clinical risk modeling. He aims to improve early detection, risk stratification, and treatment outcomes through translational research. The most recent articles highlight a strong trend in integrating multimodal biomarkers—such as urinary peptides, cell-free RNA, extracellular vesicles, and microbiome data—into predictive models for prostate cancer detection and prognosis. His work emphasizes non-invasive, liquid biopsy approaches to reduce reliance on invasive biopsies and improve patient outcomes. Scientific Recognition: Research widely covered in over 278 news outlets. Featured in press releases by UEA on breakthrough urine tests for prostate cancer. Work referenced in patents and Wikipedia, indicating high impact. Active media engagement as a medical expert in cancer diagnostics. Grants and Projects: Clark is a co-investigator on multiple funded projects, including those from Prostate Cancer UK, the Hargrave Foundation, and the Royal Society. These projects focus on urine risk classifiers, bacterial infection roles in cancer, and parallel urine-biopsy analysis. While student advising is not explicitly mentioned, his collaborative projects suggest leadership in research teams. Labs and Teams: He is part of a prominent research team at the Bob Champion Research & Education Building, collaborating with leading scientists like Prof. Colin Cooper and Dr. Daniel Brewer, focusing on metabolic health and urological cancers.

• Prostate Cancer
• Urine-Based Diagnostics
• Cancer Biomarkers
• +6 more

Anisa Visram is a Lecturer in the Division of Psychology Communication and Human Neuroscience at the University of Manchester. She is affiliated with the Manchester Centre for Audiology and Deafness (ManCAD) and serves as liaison for Patient Public Involvement and Engagement (PPIE). Her research focuses on improving pediatric audiology clinical practices, particularly through advancing objective and behavioral hearing tests for infants. She employs innovative methods such as machine learning analysis of video imagery to assess auditory responses in babies. Her work contributes to the UN Sustainable Development Goal 'Healthier Futures' by addressing hearing impairment challenges. She collaborates with organizations like Vocal (https://www.wearevocal.org/) to integrate public input into research design. She sits on the British Society of Audiology’s Paediatric Special Interest Steering Group, reflecting her leadership in the field. Recent research trends include optimizing visual reinforcement audiometry techniques, investigating hearing aid usage barriers through parent surveys, and refining electrophysiological measures like Cortical Auditory Evoked Potentials. These studies emphasize clinical applicability and translational research. Visram is a key researcher in the ManCAD project, addressing hearing impairment through multidisciplinary collaboration. Her work spans audiological device optimization, sensory aid efficacy, and longitudinal assessment of auditory development in infants.

• Paediatric Audiology
• Hearing Tests in Infants
• Auditory Evoked Potentials
• +3 more

Ben Luisi is a Professor in the Department of Biochemistry at the University of Cambridge. His research focuses on the structural and molecular mechanisms underlying post-transcriptional gene regulation and bacterial transport systems. Key areas include RNA-protein interactions, riboregulation, and the structural analysis of multidrug efflux pumps in Gram-negative bacteria. Luisi's work combines X-ray crystallography, cryo-EM, and biochemical techniques to elucidate how these systems enable bacterial adaptation to environmental challenges and contribute to virulence and drug resistance. Research Themes: RNA regulation and gene silencing via Hfq/Crc complexes Structural biology of transport assemblies like AcrAB-TolC Mechanisms of ribonuclease activity and RNA degradation Recent publications highlight advances in understanding the architecture of ribonucleoprotein complexes, allosteric transport pathways, and the interplay between RNA stability and bacterial stress responses. His group's structural insights have implications for antibiotic development and understanding bacterial pathogenesis. Luisi leads the Luisi Group, which collaborates on projects such as analyzing mitochondrial tRNA maturation and transcriptome dynamics in bacterial systems. He is affiliated with the Sanger Building at the University of Cambridge and actively mentors researchers in structural and molecular biology.

• RNA Regulation
• Gene Expression Control
• Bacterial Transport Mechanisms
• +3 more