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Peter KuhnView profile

Professor

• Liquid Biopsy
• Cancer Diagnostics
• Personalized Medicine
• +7 more

Peter Kuhn is a University Professor at the University of Southern California with appointments spanning Biological Sciences, Medicine, Biomedical Engineering, Aerospace and Mechanical Engineering, and Urology. He serves as the Director of the Convergent Science Institute in Cancer (CSI-Cancer) at USC's Michelson Center for Convergent Biosciences, where he leads groundbreaking research in cancer diagnostics and treatment. His interdisciplinary approach bridges physics, engineering, and medicine to develop innovative cancer care solutions. Dr. Kuhn's research focuses on liquid biopsy technologies, mathematical oncology, and digital health applications for cancer care. His work centers on redesigning cancer care through convergent science, with particular emphasis on early detection, disease forecasting, and personalized treatment strategies. He has pioneered the use of aqueous humor as a liquid biopsy for retinoblastoma and developed the Digital Health Companion platform to objectively assess patient performance status. His team's mathematical models predict cancer metastasis patterns across various cancers including bladder, breast, and lung cancer, transforming how clinicians understand and manage cancer progression. Analysis of Dr. Kuhn's recent publications reveals a strong trajectory toward multi-analyte liquid biopsy approaches, integrating single-cell analysis with genomic and proteomic data across various cancer types. His work increasingly focuses on clinical translation, with numerous publications addressing standardization frameworks (through the BLOODPAC consortium), diagnostic validation, and implementation of liquid biopsy in routine clinical practice. The research spans from fundamental cancer biology to practical clinical applications, with growing emphasis on digital health integration and AI-driven cancer forecasting. Dean's Professor of Biological Sciences (2014-2017) University Professor designation across multiple disciplines National Academy of Inventors Senior Member (Class of 2024) Recipient of numerous research grants from NIH, DoD, and industry partners Dr. Kuhn mentors a large research team including multiple graduate students across engineering and biological sciences disciplines, as well as numerous undergraduate researchers. His CSI-Cancer institute has secured significant funding for projects including the ATOM-HP study on objective performance status measurement, INTERCEPT early detection of breast cancer, and the ATEZO trial for at-home cancer immunotherapy. The institute collaborates with major medical centers including Cedars-Sinai, Children's Hospital Los Angeles, and Stanford University. As Director of CSI-Cancer, Dr. Kuhn leads a multidisciplinary team developing innovative approaches to cancer care. The institute's work spans liquid biopsy development, mathematical oncology modeling, and digital health technologies. Key initiatives include the Digital Health Companion platform, disease forecasting models for various cancers, and the Convergent Science Cancer Consortium funded by the Department of Defense. The team operates state-of-the-art laboratories for single-cell analysis and collaborates closely with clinical partners to translate research findings into patient care improvements.

• Natural Language Processing
• Text Mining
• Information Extraction
• +3 more

Claire Grover is a Senior Research Fellow at the Institute of Language, Cognition and Computation within the School of Informatics at the University of Edinburgh. Her research bridges computational linguistics with real-world applications in public health, urban studies, and digital humanities through advanced Natural Language Processing techniques. Her primary research interests include Natural Language Processing, Text Mining, Information Extraction, Named Entity Recognition, and Corpus Linguistics. She specializes in developing robust NLP methodologies for domain-specific challenges, particularly in clinical text analysis, historical document processing, and geospatial text mining. Her work emphasizes practical implementation and evaluation of NLP systems for reliable real-world deployment. Recent publications (2021-2025) demonstrate a clear trend toward interdisciplinary NLP applications: using topic modeling of local news to study neighborhood health effects, evaluating clinical NLP tools for stroke phenotype extraction, and scaling historical text analysis frameworks. These works consistently address methodological reliability and cross-domain adaptability of text analytics systems. No scientific awards were mentioned in the available information. Dr. Grover has secured significant research funding as Principal Investigator for projects including ‘Leveraging routinely collected and linked research data to study mental disorders’ (MRC), ‘Empowering elderly people in healthcare conversations’ (EU), and ‘Words on the Street: Digital Literary Cityscape’ (AHRC). Her collaborative network spans computer science, healthcare, and social sciences, with evidence of student supervision through ‘Supervised Work (1)’. She actively contributes to the Language, Interaction, and Robotics group and Edinburgh Neuroscience initiative, participating in interdisciplinary teams that combine computational expertise with domain knowledge. Her media-covered Trading Consequences project exemplifies her approach to transforming historical trade analysis through text mining.

• Epidemiology
• Statistical Methods
• Disease Modeling
• +3 more

Maya Katrin Gussmann serves as an Assistant Professor in the Department of Veterinary and Animal Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences. Based at the Animal Welfare and Disease Control research unit (Grønnegårdsvej 8, 1870 Frederiksberg C), she maintains an active research profile with 26 documented research outputs as of the latest information. Dr. Gussmann's research primarily focuses on epidemiology and statistical methods in data analysis, with specialized expertise in modeling disease spread and control mechanisms for intramammary infections (mastitis) in dairy cattle. Her methodological approach combines advanced statistical techniques with veterinary epidemiology to develop practical disease management strategies. She has established professional collaborations with industry partners including SEGES and FOSS, though she explicitly states she does not receive any salary from these companies. Analysis of Dr. Gussmann's recent publications reveals a multidisciplinary research program spanning mathematical modeling of disease transmission dynamics, analysis of dairy cow behavior and social networks, investigation of environmental reservoirs for mastitis pathogens, and development of statistical methods for early disease detection using routinely collected farm data. Her work bridges theoretical epidemiological modeling with practical applications in dairy farming systems. Among her professional achievements is the 1st prize for most innovative Datathon Project, awarded in August 2021. This recognition highlights her innovative approach to data analysis in veterinary science challenges. Dr. Gussmann maintains active research collaborations across multiple institutions, as evidenced by her co-authorship patterns. Her work contributes significantly to the mission of improving animal health through scientific research and evidence-based interventions in the Animal Welfare and Disease Control unit at the University of Copenhagen.

Amy DowningView profile

Associate Professor

• Cancer Epidemiology
• Colorectal Cancer
• Bladder Cancer
• +5 more

Amy Downing serves as Associate Professor of Cancer Epidemiology at the University of Leeds' School of Medicine and heads the Cancer Epidemiology Group within the Leeds Institute of Medical Research at St James's. Her research leverages population-level health data to optimize cancer care pathways and survivorship outcomes, with emphasis on colorectal and bladder cancers. Education: PhD in Epidemiology, University of Birmingham BSc (Hons) Human Biology (2:1), Loughborough University Dr. Downing specializes in cancer epidemiology using routine health data linkage, patient-reported outcomes, and survivorship analysis. Her work addresses health inequalities, treatment decision-making, and quality-of-life impacts across colorectal, bladder, and prostate cancers. Current methodologies integrate real-world data with novel digital tools like ecological momentary assessment for dynamic patient monitoring. Analysis of her recent publications reveals dominant themes in colorectal cancer intelligence (CORECT-R), bladder cancer survivorship (Life And Bladder Cancer study), and data linkage innovation. She consistently examines health disparities, treatment regret, stoma adaptation, and chemoprevention mechanisms, increasingly incorporating AI-driven text analysis of patient feedback. Research Leadership: CORECT-R: Cancer Research UK-funded colorectal cancer intelligence hub Life And Bladder Cancer: Yorkshire Cancer Research-funded longitudinal PRO study Yorkshire Bowel Cancer Improvement Programme: Regional care optimization initiative Dr. Downing supervises PhD and MSc students including Charlotte Sturley, and leads cross-institutional collaborations through the Cancer Survivor Intelligence Group and Pathology and Data Analytics team. Her work directly informs NHS service improvements for cancer survivors through evidence-based survivorship frameworks.

Atul AnandView profile

Associate Clinical Professor

• Geriatrics
• Multimorbidity
• Electronic Health Records
• +5 more

Atul Anand is a Clinical Associate Professor and consultant geriatrician at the University of Edinburgh, working within the Centre for Cardiovascular Science under the Deanery of Clinical Sciences. He serves as clinical data lead for the DataLoch programme—a regional repository of health and social care data in South East Scotland—and actively mentors PhD students while leading major research initiatives focused on aging populations. His educational background includes a PhD in Cardiovascular Science (thesis: Clinical Biomarkers in Older Patients with Aortic Stenosis), a Bachelor of Medicine and Bachelor of Surgery, and a Bachelor of Science in Pathology, all foundational to his dual expertise in clinical geriatrics and cardiovascular research. Dr. Anand’s work centers on electronic health records (EHRs) to tackle challenges in multimorbidity , frailty assessment , and delirium detection among older adults. He develops predictive tools for rehabilitation needs using hospital admission data, including a pandemic-era triage system for frail elderly, and investigates cardiovascular outcomes through biomarkers like troponin. His research bridges clinical practice and data science to address gaps in elderly care representation. Analysis of his 2024–2025 publications reveals a strong emphasis on sex-specific cardiovascular risk models , delirium-dementia linkages , and systems engineering for care transitions . Key trends include leveraging UK-wide EHRs for multimorbidity clustering, refining frailty metrics via longitudinal studies, and optimizing myocardial infarction diagnostics for elderly populations using AI and biomarker kinetics. His sole documented scientific award is: British Geriatrics Society Rising Star Award for Research (2020) Dr. Anand secures significant grant funding as Principal Investigator for NIHR/EPSRC’s SET4 project (2023–2025) on systems engineering for multimorbidity care, ESRC’s data training initiative (2024–2025), and British Heart Foundation’s chest pain pathway redesign (2023–2025). He also co-investigated MRC’s MiRisk project (2021–2023) for personalized myocardial infarction care in older patients, advocating for inclusive clinical trial design. He leads the DataLoch programme and collaborates on the AIM-CISC Programme (AI-driven multimorbidity clustering), integrating hospital and social care datasets. His teams include researchers from the University of Edinburgh, NHS Scotland, and external partners, focusing on translating data analytics into clinical tools for frailty prediction and care transition optimization.

Kelly GarnerView profile

Research Fellow

• Cognitive Neuroscience
• Attention
• Multitasking
• +3 more

Dr. Kelly Garner is a Postdoctoral Research Fellow at the University of Queensland's School of Psychology, with a research focus on cognitive neuroscience and attentional processes. Her work primarily investigates multitasking, executive function, and visual search paradigms, with significant contributions to understanding the neural mechanisms underlying cognitive control. Her research interests center on cognitive neuroscience , specifically examining how the brain manages multiple tasks simultaneously. Dr. Garner's work explores attentional mechanisms, learning transfer, and the neural substrates of executive function using advanced neuroimaging techniques. She has made notable contributions to understanding how training influences multitasking abilities and how brain stimulation can facilitate learning generalization. Her research often bridges theoretical cognitive psychology with practical applications for improving cognitive performance. Analysis of Dr. Garner's publication record reveals a strong focus on attentional mechanisms and cognitive control processes. Her work spans both basic cognitive neuroscience research and clinical applications, with recent publications addressing topics from multitasking in healthy populations to appetite regulation in motor neuron disease. She frequently employs multimodal approaches combining behavioral measures with neuroimaging and brain stimulation techniques. Dr. Garner demonstrates a consistent pattern of high-impact publications in top-tier journals including Cerebral Cortex , Nature Reviews Neuroscience , and Journal of Experimental Psychology . Dr. Garner has established a robust collaborative network, particularly with Professor Paul Dux at the University of Queensland, with whom she has co-authored numerous publications. Her research has been supported by multiple grants enabling sophisticated neuroimaging studies and cognitive training experiments. She is actively involved in open science initiatives as evidenced by her contribution to the Neurodesk project, which promotes reproducible neuroimaging analysis. Dr. Garner is affiliated with the Queensland Attention and Control Lab and contributes to the broader neuroscience community through participation in initiatives like Brainhack, which fosters open, inclusive neuroscience research practices. Her work bridges cognitive psychology, neuroscience, and clinical applications, positioning her at the forefront of contemporary cognitive neuroscience research.

• Health Inequalities
• Social Epidemiology
• Maternal and Child Health
• +4 more

Ruth Dundas is Professor of Social Epidemiology at the University of Glasgow, based at the MRC/CSO Social and Public Health Sciences Unit. She serves as workstream lead for Understanding Inequalities in the Inequalities in Health Programme and co-leads the SHW Data Science Research Theme. Her academic career spans multiple decades with continuous publication output, demonstrating sustained contributions to the field of social epidemiology. Professor Dundas holds a BSc (Hons) in Statistics from the University of Glasgow and an MSc in Social Research Methods and Statistics from City University. Her educational background in quantitative methods has informed her methodological approach to studying health inequalities throughout her career. Her primary research interests focus on inequalities in mortality and contextual and social influences on health over the lifecourse. She has developed significant expertise in evaluating the impact of social policies on maternal and child health using natural experimental evaluations. Methodologically, she specializes in improving the use of routine data to analyze health inequalities, developing methods for evaluating complex interventions and natural experiments, and applying multilevel modeling techniques. Analysis of her recent publications reveals consistent thematic focus on health inequalities measurement, maternal and child health outcomes, and methodological innovations in natural experimental evaluation. Her work spans both UK contexts and international collaborations, particularly with Brazil and Ecuador. The publications demonstrate increasing emphasis on policy-relevant research with practical applications for addressing health disparities. Professor Dundas leads the Maternal and Child Health Network (MatCHNet), which is developing infrastructure for policy evaluations using administrative data. She also co-leads the Inequalities and Justice work in the NIHR Global Health Research Unit, collaborating with institutions in Brazil and Ecuador to develop small area deprivation measures. She is actively engaged in public communication of research findings, having developed innovative tools like a jigsaw puzzle to communicate key findings from the Inequalities in Mortality Report. She is an active member of the Royal Statistical Society Glasgow Local Group and the Society for Social Medicine and Population Health, contributing to the broader academic community through these professional organizations.

• Routinely collected healthcare data
• Electronic Healthcare Records
• Large databases of EHRs
• +6 more

Dr. Agnieszka Lemanska is a Senior Lecturer in Health Data Science at the University of Surrey's School of Health Sciences within the Faculty of Health and Medical Sciences. She holds a joint appointment as a Senior Scientist at the National Physical Laboratory's Department of Data Science, where she contributes to improving healthcare data quality. Her research focuses on cancer-related studies using routinely collected healthcare data, with particular emphasis on early diagnosis and post-treatment outcomes. Dr. Lemanska earned her MSc in Pharmacy from the Medical University of Warsaw in 2005 and completed her PhD in Statistics and Machine Learning at the University of Bristol with GlaxoSmithKline funding. Her educational background bridges clinical pharmacy and advanced data science, creating a unique interdisciplinary perspective for her research. Her primary research interests center on routinely collected healthcare data, electronic healthcare records (EHRs), cancer-related primary care research, and data-driven early cancer diagnosis. She specializes in analyzing large databases of patient records including CPRD, ORCHID, and OpenSAFELY, with particular focus on pancreatic and prostate cancers. Her work addresses critical healthcare challenges including cancer diagnosis delays, treatment side effects, and healthcare system disruptions during the pandemic. Analysis of her recent publications reveals a strong focus on cancer epidemiology using large-scale electronic health records, with significant contributions to understanding pandemic impacts on cancer care. Her work demonstrates consistent methodological rigor across observational studies, systematic reviews, and clinical audits, with particular attention to real-world data applications in improving cancer diagnosis and treatment pathways. Dr. Lemanska actively contributes to multiple significant research projects including NPL Explorer's award for validating pancreatic cancer prediction algorithms, MRC Fellowship research on pandemic effects on cancer care, and EPSRC-funded PhD studentships investigating primary care data for early pancreatic cancer diagnosis. She has led important national audits on pancreatic enzyme prescribing and prostate cancer diagnosis disruptions during the pandemic. As an educator, she provides PhD, MSc, and BSc supervision while teaching across various healthcare programs including pharmacy, nursing, and physician associate curricula. Her international engagement includes serving as International Lead and Erasmus Coordinator for the School of Health Sciences, facilitating global academic collaborations and student exchanges.

Emma LidingtonView profile

Research Fellow

• Cancer Research
• Behavioral Science
• Public Health
• +4 more

Dr. Emma Lidington is a Postdoctoral Research Associate in Cancer Behavioural Science at Queen Mary University of London's Wolfson Institute of Population Health. Her research focuses on using behavioral science to improve cancer prevention trial participation and assess the psychological impact of new screening programs. She holds a PhD in psychobiology and public health, emphasizing the care experiences and supportive care needs of young adults with cancer. Previously, she worked at the Royal Marsden NHS Foundation Trust as a trial manager, implementing digital patient-reported outcome systems. She currently serves as Publications Editor for the EORTC Quality of Life Group. Research Interests: Psychological impact and acceptability of new cancer screening tests (e.g., bladder cancer urine kits, oesophageal sponge tests) Barriers/facilitators to screening uptake Use of patient-reported outcomes (PROs) in clinical trials and routine care Inclusivity in cancer screening trials, particularly for underrepresented groups Professional Contributions: Editorial role in EORTC Quality of Life Group publications Development of digital tools for patient support in breast cancer trials Grants & Advising: No formal grants or advisee students listed, though her work involves collaborative research projects funded by EORTC and NIHR initiatives. She actively contributes to multidisciplinary teams in trial design and outcome measure development.

• Epidemiology
• Public Health
• Cardiovascular Risk Factors
• +4 more

Linda O'Keeffe is a Senior Lecturer in Epidemiology at University College Cork (UCC), Ireland. She holds a BSc in Public Health (1st class honours) and a PhD in Epidemiology from UCC. Her research focuses on cardiovascular risk trajectories, maternal and child health, and life course epidemiology. She leads the Epidemiology Methods Cluster and the LEAP Group at UCC, and serves as European Regional Councillor for the International Epidemiological Association. O'Keeffe has secured over €1.8M in grants as Principal Investigator, including an HRB Emerging Investigator Award and MRC Fellowship. Education: BSc Public Health (UCC, 2010) PhD Epidemiology (UCC, 2014) PgCert Teaching & Learning in Higher Education (UCC, 2021) Research Interests: Her work examines sex-specific cardiometabolic trajectories, maternal alcohol use, and socioeconomic determinants of health. Key areas include puberty timing effects, obesity genetics, and systematic reviews on health disparities. She leads large-scale studies like the ROLO birth cohort and the SocialPaths project. Grants & Awards: HRB Emerging Investigator Award (€699,252, 2020) MRC UK Strategic Skills Fellowship (£442,976, 2015-2019) HRB Investigator-Led Project (€357,507, 2022) Teaching: Coordinates the MPH module EH6031 Applied Epidemiology and teaches EH2010 Epidemiology II. Supervises PhD/MPH students in public health and epidemiology. Key Contributions: Published over 100 peer-reviewed papers, including landmark studies on breastfeeding's cardiovascular benefits and sex differences in metabolic risk. Leads international collaborations on health policy and systematic reviews.

Sudha SundarView profile

Professor

• Gynaecological Oncology
• Ovarian Cancer
• Cancer Diagnostics
• +9 more

Sudha Sundar is a Professor of Gynaecological Cancer in the Department of Cancer and Genomic Sciences at the University of Birmingham, where she serves as a clinical academic and gynaecological cancer surgeon. She is actively involved in national and international leadership, currently serving as the National Ovarian Cancer Audit Surgical Lead (2023–present) and a member of the International Advisory Board of Lancet Oncology (2025–). Previously, she was President of the British Gynaecological Cancer Society (2019–2022), the first woman gynaecological oncologist to hold this role. She also serves as India Lead for the College of Medicine and Health (2017–present) and Academic Lead for the Cancer Pillar at Birmingham Health Partners (2018–present). Research Interests: Her research program focuses on three core areas: improving cancer diagnostics, optimizing cancer surgery, and addressing inequalities in cancer outcomes. She leads clinical and translational research initiatives such as the ROCkeTS trial (diagnostic accuracy in ovarian cancer), the Global Equality in Ovarian Cancer Care Project (GEOCC), and studies on mucinous ovarian cancer (STEMOVA). Her work integrates clinical trials with genomic analysis and real-world data to drive policy change and improve patient outcomes. Publications and Research Trends: Her recent publications reflect a strong emphasis on ovarian cancer diagnostics, surgical outcomes, health disparities, and guideline development. She frequently publishes in high-impact journals like Nature Genetics , Lancet Oncology , Gynecologic Oncology , and BJOG . Her work often involves large-scale data analysis, systematic reviews, and clinical guidelines, demonstrating a translational and policy-oriented research approach. Scientific Leadership and Recognition: President, British Gynaecological Cancer Society (2019–2022) National Ovarian Cancer Audit Surgical Lead (2023–present) Co-Chair, International Gynaecological Cancer Society Conference Scientific Program Committee (2024) Member, International Advisory Board, Lancet Oncology (2025–) India Lead, College of Medicine and Health, University of Birmingham (2017–present) Academic Lead, Cancer Pillar, Birmingham Health Partners (2018–present) Lead, Ethnic Diversity in Cancer Genomics Substream, Institute of Global Innovation Teaching and Mentoring: Professor Sundar provides bedside and small group teaching for Year 4 and Year 5 medical students and serves as a personal academic tutor for Year 1 and Year 2 students. She welcomes MD and PhD trainees interested in gynaecological oncology research. Labs and Research Teams: She leads a multidisciplinary research team focused on gynaecological cancers, collaborating with institutions such as Imperial University and the Royal College of Obstetricians and Gynaecologists. Her work is supported by national audits, clinical trials (e.g., ROCkeTS), and international consortia like the International Gynaecological Cancer Society. She is deeply involved in using routinely collected health data to drive quality improvement and equity in cancer care.

Niaz AhmedView profile

Adjunct Professor

• Neurology
• Vascular Neurology
• Stroke Research
• +7 more

Niaz Ahmed is an Adjunct Professor at the Department of Clinical Neuroscience, Karolinska Institutet. He serves as a senior consultant (overläkare) and head of research and education at the Neurology division of Karolinska University Hospital. His academic journey includes a Doctor of Philosophy (2003) and Master of Medical Science (1999) from Karolinska Institutet, and a medical degree (1995) from Dhaka Medical College, Bangladesh. Research Interests: Vascular neurology with focus on stroke Acute treatment and secondary prevention strategies Reperfusion therapies (thrombolysis/thrombectomy) Blood-brain barrier restoration Cerebral edema and hemorrhagic transformation Anticoagulation timing in stroke patients Recent Publications: His 15 most recent articles (2025-2018) examine blood pressure dynamics after thrombectomy, anticoagulation timing post-reperfusion, statin effects on stroke outcomes, cerebral edema risk factors, and thrombolysis in special populations (elderly, minor stroke). These studies leverage the SITS International Stroke Registry, which he co-founded. Academic Leadership: As chairman of SITS International (since 2019), he oversees a global registry with data from over 350,000 stroke patients across 1400 centers. He coordinates the I-Stroke II phase-III trial and contributes to clinical guideline development. Clinical & Educational Roles: He supervises doctoral students, serves as course leader for neurology in physiotherapy education, and teaches neurology residents and medical students at Karolinska University Hospital.

Chi-Young OhView profile

Assistant Professor

• Human-Computer Interaction
• Human Information Behavior
• Consumer Health Informatics
• +7 more

Chi-Young Oh is an Assistant Professor in the Department of Information Studies at Chicago State University, within the College of Arts & Sciences. His research focuses on human-centered design, human information behavior, human-computer interaction, and consumer health informatics, with a particular emphasis on how individuals interact with information during life transitions and health challenges. Education: Ph.D., University of Maryland, College Park M.S., University of North Carolina at Chapel Hill B.A. and B.B.A., Yonsei University His research uses mixed-method, human-centered approaches to explore how people seek, share, and use information in everyday contexts, especially among international students adjusting to new environments and individuals managing mental and physical health. His work bridges information science with health informatics and social computing. His recent publications, spanning from 2015 to 2023, reflect a consistent focus on information behavior in transitional and health-related contexts. Key themes include mental health information seeking among students, patient-generated data sharing in clinics, cross-cultural information access, and the role of digital tools in newcomer adaptation. These works are published in top venues such as ASIS&T , ALISE , Journal of Medical Internet Research (JMIR) , and Proceedings of the ACM on Human-Computer Interaction . Scientific Awards and Honors: Faculty Development Grant, CTRE, Chicago State University (2022) Research CUEs Award, CSU (2020) Research Improvement Grant, University of Maryland (2018) Third Place, ALISE Doctoral Poster Competition (2017) Dean’s Fellowship, University of Maryland (2012–2017) Doctoral Colloquium Award, ASIS&T (2016) International Teaching Fellowship, University of Maryland (2015–2016) Dean's Award for Outstanding iSchool Doctoral Paper (2015) Multiple fellowships and travel grants from UNC and UMD Dr. Oh has received research funding from both Chicago State University and the University of Maryland, supporting his investigations into human information practices. He is actively involved in the academic community, serving as Treasurer for SIG USE (Special Interest Group in Information Needs, Seeking and Use) in ASIS&T. While no formal advisees are listed, his collaborative publications suggest engagement with students and junior researchers. He is affiliated with a research environment that supports innovation in information science and community-based technology design.

Margaret HeslinView profile

Senior Lecturer

• Health Economics
• Epidemiology
• Mental Health Services Research
• +6 more

Dr. Margaret Heslin is a Senior Lecturer in Health Economics and Epidemiology at King’s College London’s Institute of Psychiatry, Psychology & Neuroscience. She focuses on mental health research, including trials of psychological therapies for psychotic experiences, evaluations of interventions for trafficked individuals, and mindfulness-based approaches for depression. Her work leverages routinely collected data and data linkage methods. Education: PhD in Epidemiology (King’s College London, 2014), MSc in Clinical and Public Health Aspects of Addiction (King’s, 2006), BSc in Psychology (London Metropolitan University, 2005) Key collaborations: Projects with NIHR, King’s Health Economics, Social Epidemiology Research Group, and LGBTQ Mental Health Research Group Her research spans health economics (cost-effectiveness of perinatal teams, HIV screening), epidemiology (air pollution impacts, psychotic depression), and global health (caregiving in Sub-Saharan Africa). Articles highlight interdisciplinary work in PLoS One , The Lancet Psychiatry , and JAMA Psychiatry . She leads initiatives like the IoPPN Youth Awards (2013–2018) and contributes to policy guidance for NHS data linkage.

Kevin C. HallingView profile

Professor

• Molecular Pathology
• Genetic Pathology
• Cancer Genomics
• +5 more

Dr. Kevin C. Halling is a distinguished Professor in the Department of Laboratory Medicine and Pathology at Mayo Clinic in Rochester, Minnesota. With dual MD and PhD degrees from the University of Kansas, he has established himself as a leading expert in molecular pathology and genetic diagnostics. His leadership roles include serving as Co-Section Head of the Molecular Anatomic Pathology Laboratory and previously as Section Head of the Molecular Genetics Laboratory and Program Director for the Molecular Genetic Pathology Fellowship program. Dr. Halling's research interests center on molecular diagnostics, cancer genomics, sarcoma classification, and the application of advanced techniques like fluorescence in situ hybridization (FISH) and next-generation sequencing to improve cancer diagnosis and treatment. His work has significantly advanced the understanding of tumor genetics, particularly in renal neoplasia, sarcomas, and molecular biomarkers for cancer stratification. His recent publications demonstrate a strong focus on gene fusions, DNA methylation profiling, and the integration of molecular data with histopathological findings. His extensive publication record shows a consistent trend toward increasingly sophisticated molecular characterization of tumors, with particular emphasis on sarcoma classification through genetic markers. Recent work has expanded into single-cell transcriptomics, pan-cancer biomarker detection, and the clinical validation of next-generation sequencing assays for routine diagnostic use. His research bridges basic science with clinical application, directly impacting diagnostic pathology practice. ADL Innovation Award for proposal "DNA Methylation Profiling to Aid in the Diagnosis of Sarcomas" (2023) Gordon W. Dewald Lecturer, Association of Genetic Technologists (2020) Association for Molecular Pathology Meritorious Service Award (2018) Lifetime Achievement Award from College of American Pathologists (2015) Teacher of the Year Award, Department of Laboratory Medicine and Pathology (2004) As Program Director for the Molecular Genetic Pathology Fellowship from 2002-2012, Dr. Halling played a pivotal role in training the next generation of molecular pathologists. His laboratory research has been supported by numerous institutional and professional organization grants, focusing on improving diagnostic accuracy and precision in cancer pathology. His committee work with organizations like the American Medical Association and American College of Pathologists has helped shape molecular diagnostics standards across the field. Dr. Halling's laboratory work has centered on developing and validating molecular diagnostic techniques, particularly fluorescence in situ hybridization applications for cancer diagnosis. His research team has been instrumental in establishing protocols for detecting gene rearrangements in sarcomas and other malignancies, creating standardized approaches now used in pathology laboratories nationwide.