جست‌وجوی استاد و پژوهشگر

Erin L Abnerمشاهده پروفایل

دانشیار

• Alzheimer's Disease
• Epidemiology
• Neurodegenerative Disorders
• +۷ مورد دیگر

Erin L Abner, PhD, is an Associate Professor and Chair of the Department of Epidemiology at the University of Kentucky College of Medicine. She is affiliated with the Sanders-Brown Center on Aging, a leading institution for Alzheimer’s Disease Research. Her work focuses on the epidemiology of neurodegenerative diseases, particularly Alzheimer’s Disease, and integrates social determinants of health, biomarker development, and comorbidity analysis. Dr. Abner leads initiatives to advance clinical trial methodologies, including the integration of social exposome metrics into research frameworks. Her research bridges basic science and public health, addressing disparities in aging populations and exploring interactions between cancer and neurodegenerative pathologies. Key areas of research include: (1) Social determinants impacting Alzheimer’s progression and clinical trial design, (2) Molecular mechanisms of proteinopathies like TDP-43 and amyloid-beta, (3) Biomarker validation for early diagnosis and monitoring of cognitive decline, and (4) Population-level studies on comorbidities such as heart failure and cancer. She has spearheaded the development of pathway-specific polygenic risk scores and contributed to the understanding of sex/gender differences in neurodegenerative outcomes. Dr. Abner’s leadership extends to interdisciplinary collaborations, including the National Alzheimer’s Coordinating Center and the University of Kentucky Alzheimer’s Disease Research Center. Her team’s work emphasizes translational research, aiming to improve clinical care through evidence-based interventions and policy recommendations. Recent projects include exploring financial toxicity in dementia patients and optimizing medication management strategies for older adults.

Saeed Bidiمشاهده پروفایل

پژوهشگر

• Data Engineering
• Machine Learning
• Deep Neural Networks
• +۳ مورد دیگر

Dr. Saeed Bidi is a Senior Researcher at the Wolfson Institute of Population Health, Queen Mary University of London. He holds a PhD in STEM and specializes in developing data-driven systems for healthcare and engineering applications, particularly within the Genes and Health initiative. His expertise spans Data Engineering, Machine Learning, Deep Neural Networks, and Natural Language Processing. He integrates computational methods with quantitative research to address complex problems in population health and engineering systems. Research Interests: Machine Learning Applications in Healthcare and Infrastructure Data Pipeline Development Time Series Analysis Computational Fluid Dynamics Genetic Epidemiology Recent work focuses on predicting bridge deck temperatures using machine learning, numerical modeling of bubble collapse phenomena, and genetic studies in South Asian populations. Publications highlight interdisciplinary approaches to thermal analysis, ultrasound physics, and public health genetics. No scientific awards or grants are explicitly mentioned in the provided texts.

Ben Jacobsمشاهده پروفایل

پژوهشگر ارشد

• Multiple Sclerosis
• Complex Trait Genetics
• Cross-Ancestral Genetics
• +۲ مورد دیگر

Ben Jacobs is a Clinical Fellow and researcher at the Wolfson Institute of Population Health, Queen Mary University of London, currently pursuing a PhD supported by the Medical Research Council and the MS Society. His research examines how genetic and environmental factors contribute to Multiple Sclerosis pathogenesis and complex trait genetics across diverse ancestral populations. His primary research interests focus on unravelling the genetic architecture of Multiple Sclerosis through cross-ancestral studies, neuroinflammation pathways, and polygenic risk modeling. The ADAMS study—his current PhD project—investigates ancestral variations in MS genetic determinants using advanced genomic approaches. Recent publications demonstrate consistent themes in genetic epidemiology, including genome-wide association studies of neuroimmunological disorders, polygenic risk score applications in metabolic diseases, and ancestral diversity in disease susceptibility. Methodological innovations in Mendelian randomization and single-cell analysis feature prominently across his work. Dr. Jacobs maintains active collaborations through the UK MS Register and leverages large-scale biobank data to explore gene-environment interactions in neurological and metabolic conditions.

Ania Korszunمشاهده پروفایل

استاد

• Mood disorders
• Stress-related disorders
• Medical education in psychiatry
• +۵ مورد دیگر

Professor Ania Korszun serves as Professor of Psychiatry and Unit Lead for Psychological Medicine at Queen Mary University of London's Wolfson Institute of Population Health. She combines clinical practice as a consultant psychiatrist in East London NHS Trust's Psychiatry Liaison Service with research focused on mood disorders, stress-related conditions, and mental health interfaces with medical illnesses. Specializes in depression-stress interactions with chronic pain, cancer, and trauma recovery Leads multidisciplinary mental health stigma reduction projects Collaborates with UK and Japanese institutions on medical student wellbeing Develops e-learning resources for psychiatry education Publishes extensively on psychosocial oncology and mental health pedagogy Her recent research explores acceptance and commitment therapy applications, genetic architectures of mental disorders, and the impact of appearance concerns following facial trauma. She supervises PhD student Isabelle Foote and maintains active clinical and academic roles.

Moneeza Siddiquiمشاهده پروفایل

مدرس

• Genetic Epidemiology
• Precision Medicine
• Type 2 Diabetes
• +۳ مورد دیگر

Moneeza Siddiqui is a Lecturer in Genetic Epidemiology at Queen Mary University of London’s Wolfson Institute of Population Health. She specializes in precision medicine for cardiometabolic conditions, particularly type 2 diabetes in South Asian populations. Her work focuses on ancestry comparisons, young-onset diabetes, and multi-omics approaches. She leads the Genes & Health cohort in East London and co-leads the India-Scotland Partnership for Precision Medicine in Diabetes (INSPIRED). She also serves as Associate Director of the Health Data in Practice PhD program and is a Fellow of the Digital Environment Research Institute (DERI). Her research integrates genetic, clinical, and environmental data to address health disparities. Key collaborations include the NIHR School for Primary Care Research and the Madras Diabetes Research Foundation. Her expertise spans pharmacogenetics, statin intolerance, and the genetic architecture of diabetes onset across diverse populations. Recent studies highlight her focus on ethnic variations in diabetes risk factors, polygenic risk scores for precision interventions, and barriers to exercise in diabetes management. She has advised on national diabetes policies and collaborates globally to advance population health and precision medicine strategies.

Ellen Changمشاهده پروفایل

استادیار

• Musculoskeletal Imaging
• Radiology
• Image-Guided Interventions
• +۴ مورد دیگر

Dr. Ellen Chang is an Assistant Professor in the Department of Radiology at the University of California, San Francisco (UCSF) School of Medicine. Her clinical focus includes musculoskeletal imaging (MRI, CT, radiography, ultrasound) and interventions like joint injections, biopsies, and spine procedures. She completed her MD at Washington University in St. Louis and an MS in Biological Chemistry at UCLA. Her research emphasizes image-guided spine interventions, acute ACL injuries, and medical education. Notably, she was honored as Intern of the Year during her general surgery internship at Harbor-UCLA Medical Center. Her research spans cancer epidemiology, molecular mechanisms of nasopharyngeal carcinoma, and genetic risk factors. Recent work includes studies on cancer screening efficacy, EBV virus subtypes in carcinogenesis, and the role of BMI in cancer prognosis. Dr. Chang has contributed to over 150 peer-reviewed publications, with a focus on translational oncology and public health. She holds grants for projects investigating imaging biomarkers and trainee education in radiology. No specific labs or teams are explicitly mentioned, but her work intersects with UCSF’s Radiology and Oncology departments.

James J. Liمشاهده پروفایل

استاد

• Developmental Psychopathology
• Quantitative Psychology
• Statistical Genetics
• +۵ مورد دیگر

James J. Li is the A. A. Alexander Professor of Psychology and Psychiatry at the University of Wisconsin–Madison and serves as Director of Clinical Training. His research bridges clinical science with genomics, neuroscience, and diversity science to study neurodevelopmental and externalizing conditions such as ADHD and autism. Education: B.A. in Psychological and Brain Sciences from Johns Hopkins University; Ph.D. in Clinical Psychology from UCLA with a minor in Quantitative Psychology Postdoctoral Fellowship: NIH T32 in Psychiatric and Statistical Genetics at the Virginia Institute for Psychiatric and Behavioral Genetics Research Focus: Dr. Li’s work integrates developmental psychopathology, quantitative methods (e.g., longitudinal modeling, structural equation modeling), and statistical genetics (e.g., GWAS, polygenic scores) to explore how diversity interacts with biology and psychosocial environments in mental health. His lab utilizes genomics, neuroimaging, and machine learning to advance personalized care for neurodevelopmental conditions. Key Trends in Publications: Recent work emphasizes HiTOP taxonomy validation, polygenic risk prediction for neurodevelopmental disorders, gene-environment interactions in ADHD/autism, and the neural correlates of externalizing behaviors. Studies span longitudinal analysis, transdiagnostic frameworks, and diversity-focused psychopathology research. Awards: NIH T32 Postdoctoral Fellowship in Psychiatric and Statistical Genetics Labs & Collaborations: Affiliated with the Waisman Center, UW-Madison’s Initiative in Social Genomics, and the international HiTOP consortium. His lab trains students in multi-method approaches to neurodevelopmental research.

• Health Inequalities
• Veterans' Health
• Mental Health
• +۳ مورد دیگر

Cathleen Appelt is a researcher affiliated with Duquesne University's McAnulty College and Graduate School of Liberal Arts. Her work focuses on health inequities, veterans' health, and mental health care methodologies. She holds a Ph.D. in Sociology from the University of Pittsburgh (2002) and completed a postdoctoral fellowship in Psychiatry there. Since 2003, she has conducted applied research improving healthcare for underserved veteran populations, including those with mental illnesses, homelessness, or chronic conditions. Her research integrates mixed methods (qualitative and quantitative approaches) to address systemic healthcare challenges. She collaborates with the VA Pittsburgh Healthcare System and emphasizes community-engaged, multidisciplinary strategies to address health disparities. Her research themes include veterans' mental health treatment preferences, racial disparities in healthcare access, and telehealth applications in schizophrenia management. Recent work explores polygenic risk scores for glaucoma in African descent populations and maternal-child health advocacy in urban communities. No scientific awards are explicitly mentioned in the text. She has advised no doctoral/master’s students listed, but her work involves collaborative teaching on health equity and community engagement. Her academic contributions span over 20 years, with a focus on bridging sociological insights with clinical healthcare practice. Ongoing projects include improving care for chronic medical conditions among individuals with psychosis and pandemic-era innovations in cross-generational healthcare education.

Ashlee Mooreمشاهده پروفایل

استادیار

• Genetics
• Psychiatry
• Behavioral Science
• +۷ مورد دیگر

Ashlee Moore is an Assistant Professor of Psychology at the State University of New York at Oswego. Her work bridges psychology, genetics, and neuroscience, with a focus on understanding the genetic and environmental underpinnings of mental health conditions. Dr. Moore holds a B.S. in Psychology from Middle Tennessee State University (2013) and a Ph.D. in Clinical and Translational Science with a concentration in Psychiatric, Behavioral, and Statistical Genetics from Virginia Commonwealth University (2019). Her research explores topics including psychophysiological fear mechanisms, callous-unemotional traits, cultural identity development, and substance use patterns in diverse populations. She emphasizes translational research to improve clinical outcomes, particularly in college-aged and aging populations. Her interdisciplinary approach integrates behavioral genetics, statistical modeling, and neurobiological measures. Dr. Moore teaches courses such as Biopsychology , Abnormal Psychology , and Racial, Ethnic, and Cultural Identity Development . Her recent publications (2023–2025) highlight studies on fear learning pathways, alcohol misuse in ancestrally diverse cohorts, and polygenic risk interactions with trauma exposure. She actively contributes to campus mental health initiatives, linking research to student well-being. While no specific awards are listed, her work demonstrates sustained engagement with high-impact topics in behavioral and clinical sciences.

Zhongming Zhaoمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Cancer Precision Medicine
• +۷ مورد دیگر

Zhongming Zhao, PhD, is a Professor and Chair at the McWilliams School of Biomedical Informatics at UTHealth Houston. He holds the Chair for Precision Health and directs the Center for Precision Health and the UTHealth Cancer Genomics Center. With over 25 years of experience, he specializes in bioinformatics, AI-driven healthcare solutions, and translational research. His work spans cancer genomics, pharmacogenomics, and neurodegenerative diseases. Dr. Zhao has authored over 550 papers, secured $190M in grants, and leads interdisciplinary teams in precision medicine. Education: PhD, Human and Molecular Genetics, University of Texas Health Science Center at Houston (2000) MS, Computer Science, University of Houston (2002) MS, Biomathematics, University of Texas Health Science Center (1998) MS, Genetics, Peking University (1996) BS, Biology, Zhejiang University (1991) Research Focus: Dr. Zhao’s expertise includes genomic sequencing technologies (WGS, RNA-Seq), single-cell omics, drug repositioning, and AI in healthcare. His lab develops computational tools like Deep5mC (DNA methylation prediction) and Dr. Kinase (drug resistance modeling). He investigates mechanisms of cancer immunotherapy resistance, neurodegenerative diseases, and psychiatric disorders through multi-omics integration. Awards: 2023 President’s Scholar Award Fellowships: ACMI, FAMIA, AIMBE Grants & Leadership: He oversees over 100 grants and collaborates with 100+ investigators. His leadership roles include Chief Bioinformatics Officer at Vanderbilt-Ingram Cancer Center and directorships in bioinformatics resources. Current initiatives focus on precision health, tumor microenvironment reprogramming, and AI-driven diagnostics. Labs & Teams: Leads the Center for Precision Health and collaborates across departments at UTHealth. His lab develops tools like deCS for single-cell annotations and ImmuneApp for immunopeptidome analysis. Active in translational projects like oncolytic virus therapies and drug repurposing for cancer and neurological diseases.

Yulin Daiمشاهده پروفایل

استادیار

• Bioinformatics
• Genetic Epidemiology
• Complex Disease Analysis
• +۷ مورد دیگر

Dr. Yulin Dai is an Assistant Professor in the Department of Bioinformatics and Systems Medicine at the McWilliams School of Biomedical Informatics, UTHealth Houston. His research focuses on leveraging computational methods to understand the genetic basis of complex diseases, particularly Alzheimer’s, autoimmune disorders, and psychiatric conditions. He develops novel tools for multi-omics data integration, single-cell analysis, and polygenic risk scoring. Key projects include the GRPa-PRS method for pathway-based disease risk stratification and the Genevic platform for interactive genetic data visualization. Dr. Dai holds a PhD in Bioinformatics from Shanghai Institutes for Biological Sciences (2015) and a BS in Systems Biology from the University of Science and Technology of China (2010). His work combines statistical genetics, machine learning, and bioinformatics to address clinical challenges in precision medicine. Collaborations span UTHealth’s McWilliams School and affiliated medical schools within the Texas Medical Center. He teaches BMI 7320: Topics in Artificial Intelligence for Cancer Discovery, focusing on machine learning applications in oncology. His research emphasizes cell-type specificity in disease mechanisms, integrating single-cell omics, neuroimaging, and GWAS data. Future directions include advancing methodologies for Alzheimer’s disease and enhancing informatics tools for efficient data access. Dr. Dai’s contributions to tools like scEMB and deCS highlight his commitment to translational bioinformatics.

• Cardiology
• Epidemiology
• Global Health
• +۴ مورد دیگر

Dr. Sonia Anand is a Professor of Medicine and Epidemiology at McMaster University , where she serves as Director of the Chanchlani Research Centre focused on Health Equity and a Senior Scientist at the Population Health Research Institute . She holds the Heart and Stroke Foundation of Ontario/Michael G. DeGroote Chair in Population Health Research and was appointed Associate Vice-President, Global Health in 2023. Her clinical expertise includes vascular medicine at Hamilton Health Sciences . Education : Doctor of Medicine, McMaster University (1992) Internal Medicine Training, McMaster University (1996) Fellowship, Royal College of Physicians and Surgeons of Canada (1996) Master’s in Clinical Epidemiology, McMaster University (1996) Ph.D. in Health Research Methodology, McMaster University (2002) Dr. Anand’s research focuses on environmental and genetic determinants of vascular disease across ancestral populations, women’s cardiovascular health, and health equity. She has led groundbreaking work in epidemiology , nutrition , and genetic association studies , particularly in South Asian and Indigenous communities . Recent studies explore dual anticoagulant/antiplatelet regimens (e.g., rivaroxaban+aspirin) in peripheral artery disease (PAD), maternal-infant nutrition biomarkers, and social determinants of chronic disease. Scientific Awards : Fellow, Canadian Academy of Health Sciences (2019) Lifetime Achievement Award, South Asian Health Foundation (2020) Board Member, Heart and Stroke Foundation (2021) Margolese National Heart Disorders Prize (2022) Fellow, Royal Society of Canada (2022) YWCA Women of Distinction Award (2023) Jack Hirsh Award, McMaster Department of Medicine (2024) Robert Beamish Leadership Award (2024) King Charles III Coronation Medal (2025) Her scholarly activity spans 490+ publications, including leadership in the VOYAGER-PAD and COMPASS trials, epidemiological work in the PURE study, and community-based research on Indigenous and South Asian health disparities . She emphasizes inclusive research practices and policy advocacy for cardiovascular care equity.

• Perioperative Medicine
• Cardiovascular Surgery
• Critical Care
• +۳ مورد دیگر

Flavia Kessler Borges is an Associate Professor in the Department of Medicine at McMaster University. Her research focuses on perioperative medicine, cardiovascular outcomes in noncardiac surgery, and clinical trial design. She leads studies on remote patient monitoring technologies, perioperative hypotension strategies, and hip fracture management. Key collaborations include the VISION, POISE-3, and HIP ATTACK trials. Her work addresses perioperative myocardial injury, bleeding risks, and postoperative complications across diverse surgical populations. Research interests include optimizing surgical outcomes through evidence-based protocols, leveraging biomarkers for risk stratification, and advancing telemedicine applications in post-acute care. Recent studies investigate tranexamic acid efficacy, high-sensitivity cardiac troponin thresholds, and accelerated surgical pathways for hip fractures. Her interdisciplinary approach spans anesthesiology, cardiology, and orthopedics with international trial involvement.

Matthew Lanktreeمشاهده پروفایل

دانشیار

• Nephrology
• Medical Genetics
• Cardiovascular Disease
• +۳ مورد دیگر

Matthew Lanktree is an Associate Professor in the Department of Medicine at McMaster University. His research focuses on the genetics of kidney disease, cardiovascular risk factors, and lipid metabolism, with a particular emphasis on chronic kidney disease (CKD), clonal hematopoiesis, and polycystic kidney disease (ADPKD). He leads studies on genetic variants influencing kidney function, polygenic risk scores, and translational applications of genomics in clinical nephrology. Education and Roles: His academic background includes training in genetics and nephrology, though specific educational details are not provided here. He is actively involved in research collaborations, including the International Genetics and Translational Research in Transplantation Network (iGeneTRAiN). Research Interests: Lanktree's work bridges genetic epidemiology and clinical nephrology. Key areas include: Genetic determinants of CKD progression and outcomes Role of clonal hematopoiesis in kidney disease Genetic modifiers of ADPKD severity Mendelian randomization studies for lipid traits and cardiovascular disease Publications Trends: His recent work emphasizes multi-ancestry genomic studies, proteome-wide analyses, and clinical applications of genetic findings. Key themes include the prognostic utility of kidney volume in ADPKD, clonal hematopoiesis's impact on kidney injury, and the role of polygenic risk scores in predicting kidney failure. Awards: Recipient of the Dr Paul Janssen Research Award (2008) for contributions to genetic studies of schizophrenia and dopamine receptor gene interactions. Grants and Teams: Leads or co-leads grants focused on genetic studies of CKD, lipid metabolism, and ADPKD. Collaborates with international networks to advance precision medicine in nephrology. Active in preprint server evaluations and open-access educational resources for kidney disease. Labs/Teams: Engaged in genomic research groups at McMaster University, focusing on kidney disease genetics and translational applications.

• Genetic Epidemiology
• Cardiovascular Disease Genetics
• Stroke Genomics
• +۳ مورد دیگر

Dr. Guillaume Pare is a Professor in the Department of Pathology & Molecular Medicine at McMaster University , with a distinguished career in genetic and molecular epidemiology. His work bridges cardiovascular disease mechanisms and precision medicine applications. Key research domains: Cardiovascular genetics Type 2 diabetes subtyping Stroke genomics Mendelian randomization methodology Biomarker discovery Recent publications highlight cross-omics approaches to aging research, clonal hematopoiesis in chronic disease progression, and novel therapeutic targets like IP3R1 for lipid disorders. His team employs structural equation modeling for gene-environment interactions and develops precision risk prediction tools for surgical outcomes. While no formal education details appear in the text, his work spans diverse populations through initiatives like the VISION cohort and PURE study. Current projects include epigenetic age analysis, biobank-based biomarker validation, and multi-ancestry polygenic risk score development.