Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.
Yu He is an Assistant Professor of Applied Physics and Physics at Yale University, affiliated with the Department of Physics. His research focuses on condensed matter physics and experimental techniques such as angle-resolved photoemission spectroscopy (ARPES) and x-ray scattering to study correlated electronic systems and quantum materials. Prior to Yale, he completed a Miller Research Fellowship at UC Berkeley (2019) after earning his Ph.D. in Applied Physics from Stanford University. Key research areas include metal-to-insulator transitions, superconductivity, 2D magnetism, and solid-state quantum simulation. He has contributed to advancements in material characterization techniques, including high-resolution ARPES using tabletop lasers. His work integrates crystal synthesis, electric transport measurements, and surface decoration to explore material properties. Education: B.S. in Physics from University of Science and Technology of China (USTC); M.S. in Electrical Engineering and Ph.D. in Applied Physics from Stanford University. Research Interests: Experimental condensed matter physics, quantum materials, superconductivity, and light-matter interaction studies. His current projects aim to dissect microscopic degrees of freedom (electronic, lattice, spin) in novel materials using cutting-edge spectroscopic methods. The lab employs complementary techniques like electric transport measurements and crystal growth to characterize material properties comprehensively. Awards: Miller Research Fellow, UC Berkeley (2019) Advising & Grants: No student advisees listed. Research supported by Yale University and prior fellowships. Labs & Teams: Leads a research group at Yale focused on experimental condensed matter physics, collaborating on projects involving advanced material characterization and quantum material discovery.
Helen Suh is a Professor at Tufts University, jointly appointed in the departments of Civil and Environmental Engineering and Community Health . As an internationally-recognized expert in air pollution health effects, she combines environmental epidemiology , exposure science , and data analytics to investigate how pollutants impact human health. Sc.D. , Harvard University (1993) M.S. , Harvard University (1990) S.B. , Massachusetts Institute of Technology (1985) Her research focuses on three areas: air pollutant impacts on cognitive performance and child development , multi-pollutant health effects , and GIS-based spatio-temporal modeling for epidemiological studies. Recent publications highlight her work on PM2.5 measurement error correction , hormonal disruptions in pregnancy , and machine learning applications in environmental health analysis. Current trends include: Advanced statistical methods for exposure assessment Multi-omics approaches to cardiometabolic health International comparative studies (e.g., Tehran, Puerto Rico) Long-term mortality analysis in Medicare populations Pollution-immune system interactions in vulnerable groups Policy-relevant modeling for air quality standards Helen Suh has served as an Associate Editor for the Journal of Exposure Science and Environmental Epidemiology and advised major U.S. and international health organizations. Her work spans over 150 publications and integrates multidisciplinary team leadership in environmental health science. Her laboratory develops large-scale data analytics tools and spatio-temporal exposure models to support population-level health research. Current projects include air pollution and aging cohorts , urban environmental noise measurement , and epigenetic responses to pollutants .
Dr. Savanna Thor serves as Assistant Professor of Medicine and Program Director of the GI Fellowship Program within the Department of Gastroenterology and Hepatology at SUNY Downstate Health Sciences University's School of Medicine. She specializes in advanced endoscopic diagnostics and treatment of gastrointestinal disorders through the Digestive Disease Center. Her educational background includes: Doctor of Osteopathic Medicine (DO) from Lake Erie College of Osteopathic Medicine, Erie, Pennsylvania Internal Medicine Residency at Drexel University/Hahnemann University Hospital, Philadelphia, Pennsylvania Gastroenterology and Hepatology Fellowship at Drexel University/Hahnemann University Hospital, Pennsylvania (serving as Chief Fellow) Dr. Thor's clinical expertise focuses on complex motility disorders including pelvic floor dysfunction, swallowing abnormalities, and anorectal conditions. Her research integrates patient education with health disparities analysis in gastrointestinal care, particularly for colorectal cancer screening accessibility and functional GI diseases. Procedural capabilities span upper endoscopy, colonoscopy, esophageal/anorectal manometry, capsule endoscopy, and impedance testing. As Fellowship Program Director, she oversees gastroenterology trainee development while maintaining active clinical practice. Her work emphasizes translating motility disorder research into practical patient management strategies for conditions like chronic constipation and fecal incontinence within underserved populations.
Magnus Simrén is a Professor of Medical Gastroenterology at the University of Gothenburg and serves as Vice-Dean at the Faculty of Medicine . He is also a Chief Physician in Medical Gastroenterology & Hepatology at Sahlgrenska University Hospital's Department of Medicine. Current research focuses on neurogastroenterology , particularly pathophysiology and treatment of functional gastrointestinal diseases like Irritable Bowel Syndrome (IBS). His work explores gut-brain interaction disorders , gastrointestinal motility , and dietary interventions in IBS management. Recent studies analyze psychometric validation of symptom assessment tools , fecal biomarkers , and cross-population epidemiology of GI disorders. His publications from 2024-2025 span journals such as Alimentary Pharmacology & Therapeutics , Neurogastroenterology and Motility , and Clinical Gastroenterology and Hepatology , with recurring themes in functional GI diseases , behavioral therapies , and diagnostic criteria refinement . The research integrates multidisciplinary collaboration across Europe and globally.
Mozziyar Etemadi, MD, PhD, is an Assistant Professor at Northwestern University, holding dual appointments in the Feinberg School of Medicine (Department of Anesthesiology) and the Mccormick School of Engineering . His research focuses on integrating artificial intelligence with wearable technology to address critical challenges in clinical care, particularly in cardiology, gastroenterology, and maternal health. He leads projects in the Institute for Augmented Intelligence in Medicine and Northwestern University Clinical and Translational Sciences Institute (NUCATS) . **Education**: BS and MS from Stanford University (2008–2009); PhD and MD from University of California, San Francisco (2013–2016). Postdoctoral training included Computer Science at UC Berkeley (2014) and Anesthesiology residency at Northwestern (2021). Board-certified in Anesthesiology. **Research**: Develops AI-driven tools for non-invasive monitoring (e.g., wearable sensors for heart failure, pulmonary pressure estimation) and diagnostic systems in radiology and gastroenterology. Key areas include reducing racial bias in clinical AI, improving radiologist efficiency, and global health applications like fetal ultrasound in low-resource settings. **Awards**: Notable recognitions include Forbes 30 Under 30 in Science (2011) , CIMIT Prize for Primary Care Innovation (2012) , and a Best Paper Award at EICS (2015) . **Industry Ties**: Collaborates with Cardiosense and other entities, focusing on translational AI solutions for clinical challenges. His work balances academic innovation with real-world healthcare impact.
Shrikant Bangdiwala , Professor at McMaster University 's Faculty of Health Sciences in the Department of Health Research Methods, Evidence, and Impact , leads groundbreaking research in disorders of gut-brain interaction, cardiovascular epidemiology, and statistical methodology. 2025 Research Focus: Gut-brain disorder subtyping, dietary pattern analysis, and machine learning applications in clinical trials 2024 Innovations: Development of GROOVE tool for symptom overlap visualization and exposome-DNA damage correlation studies Longitudinal Impact: 20+ years tracking GI comorbidities, cardiovascular outcomes, and educational interventions Research Clusters Gut-Brain Disorders: Prevalence modeling across 26+ countries, symptom stratification, and psychological comorbidities Cardiovascular: Mortality prediction models, antithrombotic risk assessment, and ACE-inhibitor effectiveness Epidemiological Innovation: Hybrid trial adjudication systems, statistical frameworks for complex interventions, and exposome analysis tools Methodological Expertise Specializes in biostatistical frameworks for cardiovascular trials, machine learning detection of trial irregularities, and epidemiological modeling of gut-brain disorders through the Rome Foundation Global Epidemiology Study.
NG Huck Hui is a Research Professor and Senior Group Leader at the Laboratory of Precision Disease Therapeutics, Genome Institute of Singapore (GIS), under A*STAR. His research focuses on stem cell biology, particularly on understanding and harnessing the potential of pluripotent and adult stem cells for regenerative medicine and disease modeling. Key interests include stem cell state maintenance, controlled differentiation for 3D cellular models, and applications in neurodegenerative and metabolic diseases. He leads a team developing advanced genetic and cell culture approaches to create biologically accurate disease models, aiming to advance personalized medicine. His work emphasizes creating functional organoids (e.g., midbrain organoids with dopaminergic neurons) and mini-brains for studying complex disorders. Recent publications highlight innovations in stem cell reprogramming, transcriptional networks (e.g., Oct4/Nanog), and regulatory mechanisms governing pluripotency. He actively recruits postdoctoral fellows and students to expand this research. His laboratory collaborates across disciplines to bridge basic science with translational applications, focusing on leveraging stem cells for therapeutic discovery and disease understanding.
Shifali Arora, MD is an Assistant Professor of Medicine at the UNC School of Medicine , currently serving as Vice Chief of Clinical Operations for the Division of Gastroenterology and Hepatology. She also holds the position of Medical Director of Gastroenterology Clinics at UNC. Completed AAAS Policy Fellowship and NIH Mobile Health Training Key affiliations: Center for Esophageal Diseases and Swallowing , UNC Hospitals Value Care Action Group , UNC Clinician Leadership Program Research Focus spans three main areas: Quality Improvement in GI care through electronic health record optimization and standardized clinical templates Esophageal Motility Disorders and GI manifestations of systemic diseases Health Policy and Health Informatics including mHealth security and Affordable Care Act implications Scientific Contributions include: Operational innovations in endoscopy scheduling and patient education Clinical research on bowel preparation, pharmacological effects on GI function, and rare disease presentations Education & Training : Undergraduate : University of Illinois at Chicago (Biology & Psychology) Medical School : University of Illinois at Chicago Residency : Duke University Fellowship : Rush University (Gastroenterology & Hepatology) Policy Training : American Association for the Advancement of Science
Dr. Ahmad Nawaz is an Assistant Clinical Professor of Internal Medicine at the Yale School of Medicine, specializing in gastrointestinal and hepatological research with a focus on hospital-based outcomes, infectious diseases, and critical care. His work integrates clinical practice with population health analysis, addressing topics such as Clostridioides difficile infection, colon ischemia, and the impact of obesity on hepatic conditions. Affiliations: Yale School of Medicine (Internal Medicine) Roles: Clinical educator, researcher, and contributor to multidisciplinary healthcare initiatives. Dr. Nawaz's research emphasizes translational medicine, bridging epidemiological trends with bedside care. Key areas include: Frailty and infection outcomes Endoscopic procedure safety Racial disparities in healthcare access Obesity-related comorbidities in liver disease His publications analyze national healthcare databases to identify trends in conditions like necrotizing pancreatitis, alcoholic hepatitis, and post-ERCP complications. Ongoing work explores the intersection of nutrition status and infection severity. Dr. Nawaz actively contributes to clinical guidelines through evidence-based studies on drug efficacy (e.g., GLP-1 inhibitors, rifaximin) and procedural outcomes (e.g., POEM, esophageal stents).
Dr Michael Mansfield is an Assistant Professor in Musculoskeletal Physiotherapy at the University of Birmingham, School of Sport, Exercise and Rehabilitation Sciences. He holds a PhD in Health Sciences from the University of East Anglia and is a Fellow of Advance HE (FHEA), with over 20 years of clinical and academic experience across NHS, independent, and academic sectors. Education: PhD in Health Sciences, University of East Anglia, 2024 MSc in Advanced Neuromusculoskeletal Physiotherapy (MACP Approved), University of Hertfordshire, 2012 BSc (Hons) in Physiotherapy, University of Hertfordshire, 2006 Fellowship, Advance Higher Education (FHEA) His research centers on improving outcomes in musculoskeletal and orthopaedic care, with expertise in evidence synthesis, psychophysical methods (including quantitative sensory testing), and mixed methods. He leads the ALIGN (Arthroplasty & Orthopaedics Interdisciplinary Group for Evidence & Outcomes) research network and serves as Co-Editor-in-Chief of Pain and Rehabilitation , the journal of the Physiotherapy Pain Association. His work investigates pain phenotypes, psychosocial influences on recovery, health inequalities, and rehabilitation equity, particularly in spinal and joint conditions. The most recent articles reflect a strong trend in systematic reviews and meta-analyses focused on predicting pain recurrence, psychosocial predictors of musculoskeletal pain, and methodological investigations into pain modulation mechanisms. His publications span high-impact journals such as BMJ Open , PLoS ONE , and European Journal of Pain , demonstrating a consistent interdisciplinary and evidence-based approach. Scientific Awards and Recognitions: Fellow of Advance Higher Education (FHEA) Awards from the Musculoskeletal Association of Chartered Physiotherapists for excellence in research and education Awards from the Chartered Society of Physiotherapy for excellence in research and education Michael Mansfield actively contributes to doctoral supervision and research leadership. He leads physiotherapy education programs and collaborates with health technology partners on knowledge exchange. He is also a Visiting Research Associate at the Bannister Laboratory, King’s College London, and serves on the editorial board of Pain and Rehabilitation . His professional affiliations include full membership in the Chartered Society of Physiotherapy (MCSP), the Musculoskeletal Association of Chartered Physiotherapists (MMACP), and registration with the Health and Care Professions Council (HCPC). Research Labs and Teams: Academic Lead, ALIGN (Arthroplasty & Orthopaedics Interdisciplinary Group for Evidence & Outcomes) Visiting Research Associate, Bannister Laboratory, Wolfson Centre for Age-Related Diseases, King’s College London Collaborator with health technology partners on knowledge exchange and consultancy projects
Harris R Perlman is Chief of Rheumatology in the Department of Medicine at Northwestern University Feinberg School of Medicine and holds the Mabel Greene Myers Professor of Medicine. His research focuses on macrophage biology, inflammatory arthritis, and fibrotic diseases like systemic sclerosis and pulmonary fibrosis. Affiliation: Northwestern University Academic Rank: Professor Key Institutes: Center for Human Immunobiology, NUCATS, Lurie Cancer Center Research Interests: His work explores: Macrophage heterogeneity in arthritis and fibrosis Complement pathway activation in rheumatoid arthritis Profibrotic monocyte-derived macrophages in lung disease Role of Wnt-beta catenin in macrophage pathogenesis Transcriptional profiling for precision medicine in autoimmune diseases Age-related immune dysregulation in inflammatory conditions Scientific Awards: Mentor of the Year (2022) Clinical Trials: Synovial Macrophage Transcriptional Signatures for Predicting Therapeutic Efficacy Pathogenic Wnt-beta catenin target genes in macrophages and fibrosis
Pamela Samson is an Assistant Professor of Radiation Oncology at Washington University School of Medicine (WashU Medicine), with clinical interests in lung cancer , cardiac arrhythmias , GI malignancies , and esophageal cancer . She completed her MD and MPHS at WashU Medicine and holds advanced degrees in chemistry , anthropology , international studies , and molecular physiology . Her research focuses on lung and esophageal cancer outcomes , radiation therapy toxicities , and decision analysis for treatment allocation. She has authored over 94 publications, including peer-reviewed articles on stereotactic body radiation therapy (SBRT) , cardiotoxicity in thoracic radiotherapy, and 3D dose prediction using AI models. Notable awards include the Peter T. Klogour Salutatorian Prize , induction into Alpha Omega Alpha , and membership in the Arnold P. Gold Humanism Honor Society . She serves on the American Cancer Society National Lung Cancer Roundtable Committee and the Journal of Thoracic Disease editorial board. Her clinical work emphasizes multi-modality therapy for thoracic malignancies and cost-effectiveness analyses of radiation treatment strategies. She has conducted research fellowships in cardiothoracic surgery and maintains affiliations with the Institute of Clinical and Translational Sciences (ICTS) and Siteman Cancer Center .
Hassan Doosti is a Senior Lecturer at the School of Mathematical and Physical Sciences, Macquarie University. His research focuses on statistical methodologies, particularly in flexible modeling techniques for complex datasets, with applications in medical studies and business analytics. He has authored or edited books such as Flexible Nonparametric Curve Estimation and Ethics in Statistics: Opportunities and Challenges . Research Interests Nonparametric estimation including wavelet methods and density estimation Statistical modeling of health-related data (e.g., colorectal cancer, stroke) Development of novel statistical algorithms (e.g., censored regression, numerical dependency analysis) Ethical considerations in data analysis for medical sciences Recent Projects Outside Studies Program (2025) APRIntern: Disease Risk Modelling (2019) Key Contributions His work bridges theoretical statistics with practical applications, including: Development of adaptive wavelet quantile density estimation techniques Statistical analysis of neurological and oncological data Advancing methods for handling censored and zero-inflated datasets Awards Recipient of the Faculty of Science and Engineering Award for Inter-School Collaboration (2023) for collaborative research excellence. Professional Activities Editor of multiple peer-reviewed books and active contributor to interdisciplinary projects involving healthcare, data science, and biostatistics.
Jill Deutsch, MD is an Assistant Professor of Medicine in the Department of Digestive Diseases at Yale School of Medicine. She serves as Director of the Yale Functional Gastrointestinal Disorders Program, Associate Director of the Digestive Diseases Fellowship Program, and Medical Director of the GI Motility Laboratory. Dr. Deutsch specializes in functional gastrointestinal disorders like irritable bowel syndrome (IBS) and chronic abdominal pain. She holds a Master of Arts in Community Psychology from the University of New Haven (2022) and integrates complementary therapies such as yoga and hypnotherapy into patient care. Her educational background includes residency and chief residency at Rutgers New Jersey Medical School (2016), followed by clinical fellowship at Yale SOM (2020). She has received the Kushlan Award for Excellence in Clinical Care (2020) and led a grant-funded neurogastroenterology curriculum for GI fellows. Dr. Deutsch also contributes to academic publishing in gastrointestinal motility, functional disorders, and patient-provider communication. Her research focuses on improving diagnostic approaches for functional GI disorders and advancing wellness initiatives in medical education. She actively mentors trainees through her roles in fellowship programs and has pioneered resident wellbeing interventions to reduce burnout.
