Kathleen Zhang, M.D., is an Assistant Professor in the Department of Internal Medicine at UT Southwestern Medical Center, specializing in cardio-oncology and cardiac amyloidosis. She joined the faculty in 2022 after completing her medical degree and internal medicine residency at the University of Pennsylvania, followed by cardiology and cardio-oncology fellowships at Washington University School of Medicine in St. Louis. She holds certifications from the American Board of Internal Medicine (Internal Medicine, Cardiovascular Disease) and the National Board of Echocardiography. Her research focuses on cardiovascular care for cancer patients throughout treatment phases and advancing diagnosis/management of cardiac amyloidosis. She investigates imaging biomarkers, drug cardiotoxicity, and epidemiological patterns in cancer survivors. Dr. Zhang's publications (2020-2021) predominantly explore cardio-oncology interventions, amyloidosis diagnostics, echocardiographic innovations, and cancer therapy cardiovascular outcomes. Her work integrates clinical studies, mechanistic reviews, and practical guidelines. Honors & Awards: Fellow, American College of Cardiology Fellow, International Cardio-Oncology Society She serves as co-editor of the Washington Manual of Cardio-Oncology and associate editor for the International Cardio-Oncology Society Board Review Manual , while reviewing for journals including Heart and JACC: CardioOncology .
Anouska M Carter is a Researcher at the Academy of Sport and Physical Activity at Sheffield Hallam University . She leads the Physical Activity Wellbeing and Public Health Research Group and has a 15-year track record of grants and contracts from organizations including the MS Society , Innovate UK , and Sport England . PhD in Exercise and Health (Multiple Sclerosis) from Sheffield Hallam University (2008-2016) MSc in Sport and Exercise Physiology from Manchester Metropolitan University BSc (First Class Hons) in Sport and Exercise Science from Manchester Metropolitan University Her research interests focus on Multiple Sclerosis , Workplace Wellbeing , Exercise Physiology , and Health Promotion . She has developed physical activity pathways for MS patients and investigated barriers to workplace health programs, particularly among ethnic minorities. Her article trends emphasize MS rehabilitation , workplace health technology , and behavioral interventions . Recent work includes probiotic trials, exoskeleton training, and seismocardiography device evaluations. Scientific award: Wellbeing Accelerator (2022) She has contributed to 80 publications , including journal articles on cardiometabolic health , prostate cancer , and MS rehabilitation . Her team includes collaborators like Liam Humphreys, Katharine Platts, and Sue Kesterton.
Dr. David Matheson is a Reader in Education at the University of Wolverhampton's Faculty of Education, Health and Wellbeing. He serves as a Postgraduate Research Tutor, Course Leader for the Professional Doctorate in Health and Wellbeing, and leads research initiatives related to prostate cancer and patient-centered healthcare. His work focuses on clinical trials, patient involvement, and healthcare education reform. PhD, MEd, BSc, and PGCE from the University of Glasgow Senior Fellow of the Higher Education Academy (SFHEA) His research interests span prostate cancer, quality of life in long-term conditions, equality in healthcare, and leadership in education. He collaborates with NHS trusts and leads projects like the Wolverhampton Assessment Tool for advanced prostate cancer patients. His recent publications address oncological treatments, patient experience, and healthcare disparities. As a Senior Lecturer, he supervises 12 doctoral students and contributes to undergraduate, postgraduate, and CPD modules for healthcare professionals. His editorial roles include BMC Medical Education and the Springer Handbook for Promoting Social Justice in Education. He chairs patient panels for Prostate Cancer Research and participates in major trials like STAMPEDE. Scientific Awards Senior Fellow of the Higher Education Academy (SFHEA) Professional Activities Chair of patient panels for Prostate Cancer Research Member of STAMPEDE Trial Management Group Editorial Board Member, BMC Medical Education Advisor on educational programs for NHS West Midlands Researcher in STOPCaP meta-analyses
Dr. John George Lock is a Senior Lecturer and Head of the Cancer Systems Microscopy lab within the Department of Pharmacology at the School of Biomedical Sciences, University of New South Wales (UNSW). He also serves as Associate Director of Research for the School of Biomedical Sciences, Deputy Chair of the School's Research Strategy Committee, and Chair of the HDR review panel. Dr. Lock is affiliated with multiple research networks including the UNSW Artificial Intelligence Institute, Data Science Hub, and AI & Data Science Network, as well as the Garvan Institute of Medical Research Imaging Platform Strategic Advisory Committee. Dr. Lock earned his PhD from the Institute for Molecular Bioscience at the University of Queensland (2001-2006), preceded by First Class Honours in Biochemistry (2000-2001) and a BSc in Biochemistry (1997-2000). His postdoctoral research began at the Karolinska Institute in Stockholm with fellowships from the Wenner-Gren Foundation and Swedish Cancer Foundation. He was accelerated to Assistant Professor for pioneering Systems Microscopy and leading a 9-person multidisciplinary team before returning to Australia to work with Professor Katharina Gaus at UNSW. Dr. Lock's research centers on Systems Microscopy, an innovative approach that integrates imaging-based methods with computational analysis to advance cancer treatment outcomes. His Cancer Systems Microscopy (CSM) lab focuses on three main areas: Precision Diagnostics using automated multiplexed quantitative imaging of circulating tumor cells; Targeted Therapies through novel high-content strategies for drug discovery; and Fundamental Insights into cancer progression mechanisms. The CSM lab has established collaborations with fundamental and translational cancer researchers, clinicians, commercial technology developers, and data science experts, creating a truly multidisciplinary ecosystem. Analysis of Dr. Lock's extensive publication record reveals a strong focus on advancing cancer diagnostics and treatment through the integration of imaging technologies and artificial intelligence. His work consistently bridges fundamental cell biology with clinical applications, particularly in prostate cancer and metastasis research. A significant trend across his recent publications involves developing computational methods to analyze cell state plasticity, tumor heterogeneity, and signaling pathways using advanced imaging techniques. Eva & Alex Wallestroms Foundation Award (2008) Karolinska Institute Young Researcher Award (2010) Ramaciotti Biomedical Research Award (2017) Finalist in Shenzhen Innovation & Entrepreneurship International Competition (Australasia), 3rd place (2021) UNSW Scientia Fellow (2023) Dr. Lock actively supervises research students as Primary supervisor of 4 HDR students and Joint Supervisor of 1 HDR student. His grant portfolio demonstrates substantial funding success, with recent awards including NHMRC Ideas grants (2024), an NHMRC Equipment Grant (2024), a UNSW Scientia Fellowship (2023-2027), and multiple NHMRC and ARC grants spanning from 2016 to present. These grants support his work on liquid biopsy for personalized medicine, AI-driven image analysis, and drug discovery platforms. Dr. Lock co-founded the Systems Microscopy Australia Network and co-organizes the Functional High Throughput Technologies Australia meeting, demonstrating leadership in building national research capacity. The Cancer Systems Microscopy lab operates as a cutting-edge facility that has grown significantly since its initiation in 2018. Dr. Lock helped conceive and fund Australia's first dedicated Systems Microscopy facility with $2.5M funding from the Australian Research Council and the Ramaciotti Biomedical Research Award. The lab's multidisciplinary team integrates expertise in cell biology, microscopy, statistics, machine learning, and data visualization to tackle complex cancer research questions. The CSM lab has established strategic partnerships with the Ingham Institute for Applied Medical Research, PeterMacCallum Cancer Centre, and various commercial technology developers, creating a robust ecosystem for translating basic research into clinical applications.
Zehra GÜZEL ERGÜL is a Lecturer in the Department of Mathematics at Ahi Evran University of Kirşehir, Turkey. She has served in this role since 2018, previously holding the position of Research Assistant from 2008 to 2018. Her academic leadership includes chairing the Department of Mathematics since 2022. PhD in Mathematics (2015), Selçuk University Master's in Mathematics (2009), Selçuk University Bachelor's in Mathematics (2006), Gazi University Her research focuses on Topology , particularly in Soft Set Theory and its applications to Rough Sets , Multicriteria Decision Making , and Medical Diagnosis . Her work explores decomposition of soft continuity, weak soft structures, and soft covering models. Key publications include studies on prostate cancer diagnosis using soft expert sets (2022), inverse soft covering-based rough sets (2023), and soft continuity decompositions (2023). Collaborations span institutions in Turkey, Ukraine, and Hungary. She supervises graduate theses like: "Esnek Maksimal Kavramı Yardımıyla Yeni Tür Esnek Örtü Tabanlı Kaba Kümeler" (2025) "Bazı Esnek Örtü Tabanlı Kaba Kümelerin Yeni Karakterizasyonları" (2025) Her funded projects include: "Belirsizlik Modellemeye Yeni Bir Bakış Açısı" (2025-2026) "Prostat Kanseri Teşhisi İçin Çok Kriterli Karar Verme" (2023-2024)
Professor İlker Seçkiner is a prominent academic and practicing urologist at Gaziantep University Faculty of Medicine , where he has served as a Professor in the Department of Surgical Medical Sciences since 2013. His career spans multiple institutions, including Bülent Ecevit University and Ankara University, where he previously held academic positions from 1995 to 2000. Specializing in urology , he has published extensively on pediatric urology, renal stone diseases, laparoscopic techniques, and applications of artificial neural networks in clinical decision-making. Current Position: Professor, Gaziantep University Faculty of Medicine Previous Academic Roles: Associate Professor (2008-2013), Assistant Professor (2002-2008) Education: Ankara University Faculty of Medicine (1995-2000) His research focuses on minimally invasive urological procedures , including retrograde intrarenal surgery , percutaneous nephrolithotomy , and laparoscopic applications . He has pioneered the use of machine learning in predicting treatment outcomes for stone diseases. With over 33 book chapters and 104 peer-reviewed articles , his work emphasizes pediatric urology , prostate cancer , and urodynamic studies . His recent articles analyze laser settings in lithotripsy, comparative cost-efficiency of ureteroscopes, and neural network-based predictive models. As a leader in urological surgical education , he has presented at international conferences (International Continence Society, European Congress of Obstetrics) and contributed to national guidelines through Turkish Urology Association publications. His clinical expertise includes complex stone disease management , post-prostatectomy incontinence , and urogenital fistula repairs , often integrating innovative technology into traditional practices.
Gongxin Li is an Associate Professor at the Institute of Automation, Jiangnan University, affiliated with the Key Laboratory of Advanced Process Control for Light Industry of the Ministry of Education. His research focuses on developing biohybrid robotic systems and microscale technologies for medical diagnostics and interventions. He received his B.Eng. degree from Shantou University in China and his Ph.D. from the Shenyang Institute of Automation, Chinese Academy of Sciences in 2017. Dr. Li's research spans Biomedical Robotics , Microrobotics , and Optogenetics , with emphasis on earthworm-inspired soft robots for gastrointestinal procedures, dielectrophoresis-based cell manipulation, and biohybrid sensors for cancer diagnostics. His work integrates optical/magnetic control systems with microfluidics to address challenges in tumor grading, gut microbiota regulation, and infection detection. Recent publications reveal a consistent focus on minimally invasive medical robotics, showing strong progression from fundamental micromanipulation techniques toward clinically applicable devices like colon-sampling soft robots and gut microbiota regulators. Key trends include biomimetic design, multi-modal control systems, and real-time diagnostic integration. No scientific awards were documented in the source material. Dr. Li serves as Review Editor for Nano- and Microrobotics in Frontiers in Robotics and AI. The source material contained no details regarding student advising or research grants. His laboratory work centers on the Key Laboratory of Advanced Process Control for Light Industry, where he develops automation technologies specifically targeting biomedical applications in gastrointestinal medicine and cancer diagnostics.
David Lopez is an Assistant Professor in Epidemiology, passionate about teaching and mentoring future epidemiologists. He focuses on cancer epidemiology, particularly prostate cancer and men's health, while emphasizing rigorous epidemiologic methods. Postdoctoral training at Johns Hopkins Bloomberg School of Public Health under Dr. Elizabeth Platz Active member of the SER-Diversity and Inclusion Committee Research interests include cancer health disparities and testosterone studies His dedication to public health education is evident in his teaching philosophy, where he emphasizes identifying a personal 'public health calling' to drive impactful research. Outside academia, he enjoys outdoor activities like barbecuing and spending time with his family.
Florian Tomini is a Lecturer in Health Economics at the Wolfson Institute of Population Health (WIPH), Queen Mary University of London. He leads health economic work in the Blood Transfusion Research Unit - Data Driven Transfusion Practice, as well as clinical trials and research projects. Affiliated with the Centre for Primary Care and Public Health and the Pragmatic Clinical Trials Unit at QMUL, he previously held research fellow and lecturer positions at University College London, University of Amsterdam, and Maastricht University. PhD in Economics and Public Policy Analysis, Maastricht University MSc in Social Protection Financing, Maastricht University MSc in Economics and Management, University of Tirana His research focuses on health economic evaluations , health technology assessment , health policy analysis , micro-econometric analysis , and healthcare financing . Recent publications address cost-effectiveness modeling in cardiology, resource allocation in geriatric populations, and evidence synthesis for clinical interventions. He serves as convener for the Asthma UK-CAR methodology group and advises the Research Design Service (RDS) London and NIHR Research Support Service (RSS). His expertise has been sought by NICE, WHO, and The World Bank for health and social policy matters.
Professor Torben Frøstrup Hansen is affiliated with the Department of Regional Health Research at the University of Southern Denmark, and serves as Head of Research at IRS - Lillebælt Hospital, Research Unit of Oncology (Vejle) . He actively contributes to translational cancer research with a focus on colorectal cancer and radiation therapy. Research Interests His research explores: Colorectal cancer and liver metastases Angiogenesis via VEGF pathways Personalized cancer treatment strategies Development of high-sensitivity biomarker assays Shared decision-making in oncology Non-invasive cancer diagnostics using ctDNA Recent Publications Professor Hansen's 2024-2025 work spans colorectal cancer biomarkers, prostate cancer screening tools, EGFR quantification in plasma, and patient engagement frameworks in radiation oncology. His articles reflect interdisciplinary collaborations between molecular biology, clinical practice, and public health. Projects Current activities include: Co-supervising the Cross-PALL project on palliative care planning Participating in European Society of Abdominal Radiology initiatives Developing Danish chronic disease cohort infrastructure
Timothy D Johnson is a Professor in the Biostatistics department at the University of Michigan School of Public Health . His research focuses on Bayesian statistical methods, neuroimaging analysis, and biomedical data modeling. Education: PhD, University of California, Los Angeles (1997) MS, University of California, Riverside (1986) BS, University of California, Riverside (1984) Research Interests: Dr. Johnson develops advanced Bayesian methodologies for high-dimensional biomedical data, particularly in neuroimaging applications. His work addresses challenges in spatial statistics, mixture models, and variable parameter spaces, with applications spanning neuroscience, cancer, endocrinology, and radiology. Publications Trends: His recent work emphasizes scalable Bayesian frameworks for neuroimaging, applications of stimulated Raman histology in oncology, and statistical solutions for clinical radiology. Many articles focus on improving diagnostic accuracy in gliomas and understanding social cognition through neuroimaging.
Matthew Schipper is a Professor in Radiation Oncology and Director of the Division of Biostatistics and Bioinformatics at the University of Michigan School of Public Health. He also holds a Research Professor appointment in the Biostatistics department. Dr. Schipper works to develop and apply statistical methods to improve the quality and length of life for patients with cancer or other illnesses. His research focuses on: Clinical trial design Data integration for prognostic models Statistical methods for personalized medicine Radiation therapy optimization Clinical decision-making tools He is particularly interested in building predictive models for the efficacy and toxicity of treatment that can inform optimal treatment decisions for individual patients. These models are implemented in web apps to facilitate ease of clinical use. Dr. Schipper has published extensively on these topics, with recent publications covering utility-based approaches to dose selection, life expectancy calculators for prostate cancer patients, improved designs for small sample clinical trials, predictors of pneumonitis after radiotherapy, Bayesian dose-finding methods, evaluation of predictive model performance with missing data, and the use of intermediate clinical endpoints in prostate cancer research.
Justin E. Bekelman is a Professor at the Perelman School of Medicine, University of Pennsylvania, with appointments in Radiation Oncology, Medicine, and Medical Ethics and Health Policy. He founded the Penn Center for Cancer Care Innovation at the Abramson Cancer Center and is a Senior Fellow at the Leonard Davis Institute for Health Economics. Education: MD from Yale University School of Medicine, BA in Public and International Affairs from Princeton University His research focuses on healthcare delivery, payment reform, and cancer care transformation, integrating behavioral economics, epidemiology, and public policy. Key projects include improving prescribing practices via EHR-based nudges and analyzing payment policies for advanced therapies. Recent publications examine topics like home-based cancer care , CAR-T therapy economics , and equity in precision oncology . Articles span 2015–2025, emphasizing health policy , radiation techniques , and behavioral interventions . Scientific Awards Elected member of the American Society for Clinical Investigation Dr. Bekelman has received grants from the National Cancer Institute, American Cancer Society, and industry partners. He previously worked as a healthcare consultant at the Kalchas Group and served in the US Department of Defense.
Nadia Gisella Muzio is a Full Professor in the Faculty of Medicine and Surgery at Vita-Salute San Raffaele University, specializing in Imaging and Radiotherapy. She holds concurrent roles at the University of Milan (Tutor) and University of Milan-Bicocca (Tutor, Contract Professor). Her professional leadership includes directing major radiotherapy units at San Raffaele Hospital and St. Raphael Center Foundation. MD with honors (University of Milan, 1988) Specialization in Oncological Radiotherapy (University of Milan, 1992) Management Training (I.Re.F, 2009) Research focuses on prostate cancer , radiomics , hypofractionated radiotherapy , and immune system interactions with radiation. She pioneered metabolic imaging (FDG, Choline, PSMA) for target volume delineation in radiotherapy. Publications demonstrate expertise in 11C-choline PET/CT for prostate recurrence, MRI biomarkers for esophageal response, and machine learning for toxicity prediction in breast cancer. Her work bridges radiobiology , image-guided therapy , and precision oncology . Scholarships from IRCCS S. Raffaele (1992-1994) for gynecological chemoradiation, pediatric cranial irradiation, and breast cancer techniques She has coordinated the Italian Brachytherapy Group since 1999, contributed to European RTOG protocols, and served on scientific committees for cancer research foundations.
Chet Ford, Ph.D., serves as Clinical Associate Professor in the Department of Radiation Oncology at the University of Miami, where he integrates clinical medical physics practice with translational research in MRI-guided radiation therapy. Board-certified by the American Board of Radiology in Therapeutic Radiological Physics, his expertise bridges nuclear magnetic resonance physics, clinical oncology, and medical imaging innovation. His educational foundation includes: PhD in Physics, University of Connecticut (1988) MS in Physics, University of Connecticut (1983) BS in Physics, Virginia Commonwealth University (1981) MBA, Drexel University (2003) Postdoctoral training at the University of Pennsylvania (1990) and Virginia Commonwealth University (2010) established his specialization in MRI physics and clinical radiation oncology. His research pioneers the application of quantitative MRI to model tumor physiology and predict radiation response, leveraging daily imaging from hybrid MRI/radiotherapy systems like ViewRay. Current projects focus on machine learning-driven radiomic analysis of prostate cancer and glioblastoma evolution during treatment, with emphasis on adaptive therapy optimization. Recent publications (2023-2025) reveal a cohesive trajectory in exploiting low-field MR-LINAC technology for real-time treatment adaptation. Key themes include radiomic feature stability assessment, deep learning segmentation for tumor tracking, and multi-parametric MRI analysis to decode treatment resistance mechanisms—primarily in prostate cancer and glioblastoma contexts. Award highlights include: NIH Shannon Award Association of University Radiologists Stauffer Award Doctoral Dissertation Fellowship Award Sigma Pi Sigma Physics Honor Society recognition Dr. Ford mentors physics residents, a biomedical engineering graduate student, and postdoctoral researchers in MRI device development. His grant portfolio features an NIH Shared Instrumentation Grant as Principal Investigator and EPA funding for an MR-based water monitoring device, demonstrating cross-disciplinary innovation. Laboratory efforts center on building small-animal MRI platforms and establishing clinical data registries for ViewRay treatment optimization.
