جست‌وجوی استاد و پژوهشگر

Alexis Battleمشاهده پروفایل

دانشیار

• Genomics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

• Autonomic Modulation of Cardiovascular Function
• Baroreflex Sensitivity
• Childhood Obesity and Autonomic Function
• +۱ مورد دیگر

Dr. Peter L. Latchman serves as a Professor in the Department of Health and Movement Sciences at Southern Connecticut State University. He holds a Doctorate in Applied Physiology from Columbia University and is an Overseas Fellow of the Royal Society of Medicine. His academic career spans decades of research in autonomic cardiovascular regulation with applications to diverse populations including Young adults post-COVID-19 infection Ethnic disparities in baroreflex sensitivity Autonomic dysfunction in obese children Central hemodynamic analysis Recent scholarship focuses on autonomic modulation patterns and their implications for cardiovascular health, while his teaching portfolio encompasses both graduate and undergraduate courses in exercise physiology, cardiac rehabilitation, and medical terminology. Dr. Latchman has delivered presentations at international symposia on topics including Baroreflex sensitivity in African American populations Effects of aerobic capacity on autonomic recovery Vascular physiological assessment techniques Scientific contributions include Overseas Fellowship, Royal Society of Medicine $10,000 grant for cardiovascular assessment in autistic children (2023) He maintains active research collaborations with institutions such as East China Normal University and Hong Kong Baptist University.

• Microbiomics
• Genomics
• Complex Diseases
• +۴ مورد دیگر

Elin Org is a Professor of Microbiomics at the University of Tartu's Institute of Genomics, where she also serves as Head of the Estonian Genome Centre and Vice Director of the Institute. Her academic career spans over two decades with significant contributions to microbiome and genomic research. Education: PhD in Genetics, University of Tartu (2006) Master's Degree in Molecular Biotechnology and Biomedicine, University of Tartu (2000) Bachelor's Degree, University of Tartu (1997) Classical Singing, Heino Eller Tartu Music School (1996) Professor Org's research primarily focuses on the intricate relationships between host and gut microbiota and their influence on metabolism and common complex diseases. Her work bridges microbiomics, genomics, and complex disease research, with particular emphasis on understanding how gut microbiome composition affects human health. She has pioneered research connecting long-term antibiotic usage with microbiota-dependent effects and has made significant contributions to understanding the role of gut microbiome in conditions such as gestational diabetes, endometriosis, and polycystic ovary syndrome. Her approach integrates advanced computational methods with comprehensive health data to uncover causal relationships in microbiome research. Her recent publications demonstrate a strong trend toward integrating microbiome data with extensive digital health metrics, using machine learning approaches to identify microbial predictors of health outcomes. This work is increasingly focused on translating microbiome research into clinical applications for disease prediction and personalized medicine approaches, particularly in the context of the Estonian Biobank initiative. Major Scientific Recognition: 2025 National Science Award in medical and health sciences 2023 and 2022: Recognized among the world's top 1% most cited researchers by Clarivate Analytics 2020: Member of AcademiaNet, a portal for top female researchers 2017: EMBO Installation grant 2013: Marie Curie International Outgoing Fellowship Professor Org has secured substantial research funding as principal investigator for multiple significant projects, including 'DISCERN - Discovering the causes of three poorly understood cancers in Europe' (€245,466, European Commission) and 'Improving colorectal cancer screening and prediction using microbiome-based biomarkers' (€760,450, Estonian Research Council). She has served as an opponent for numerous PhD theses across European institutions, contributing to the development of emerging researchers in her field. As Head of the Estonian Genome Centre, Professor Org leads a multidisciplinary research team that plays a crucial role in Estonia's transition from biobanking to personalized medicine applications. She is actively involved in international collaborations through COST networks including INFOGUT (focused on in vitro colon models) and ML4Microbiome (statistical and machine learning techniques in human microbiome studies), positioning her at the forefront of global microbiome research initiatives.

Keming Yuمشاهده پروفایل

استاد

• Quantile Regression
• Bayesian Statistics
• Survival Analysis
• +۱۲ مورد دیگر

Keming Yu is a Professor and Chair in Statistics at the Department of Mathematics, Brunel University London, within the College of Engineering, Design and Physical Sciences. He is also the Impact Champion for REF in Mathematical Sciences. He joined Brunel in 2005 after holding positions at the University of Plymouth, Lancaster University, and The Open University. He earned his PhD from The Open University and earlier degrees in Mathematics and Statistics from Chinese institutions. PhD in Statistics – The Open University, UK MSc in Statistics – China BSc in Mathematics – China His research centers on quantile regression, Bayesian modeling, survival analysis, and statistical methods for big data . His work spans applications in health, finance, environment, and social sciences. He has made significant contributions to robust and flexible regression methods, including expectile, mode, and censored quantile regression. His recent publications (2023–2025) show a strong focus on streaming data, spatiotemporal modeling, high-dimensional data, and Bayesian methods . He frequently publishes in top-tier journals such as the Journal of the Royal Statistical Society Series A, B, and C , Statistica Sinica , and Computational Statistics and Data Analysis . His work often involves collaboration with international researchers, especially in China and Europe. He has contributed to methodological discussions in leading statistical journals, demonstrating active engagement with the academic community. His work on financial risk, environmental statistics, and health data analysis reflects interdisciplinary impact. Reviewed and contributed to discussions on safe testing, confidence sequences, and betting-based inference. Active in developing methods for nonignorable missing data, censored models, and functional covariates. He supervises PhD students and is involved in teaching and curriculum development, including as Course Director for the MSc Statistics with Data Analytics. His research is supported by extensive publication output and academic service. He leads or contributes to research on Bayesian models, robust regression, and scalable methods for big data , often involving collaborations in interdisciplinary teams. His lab or research group focuses on statistical methodology development with real-world applications.

Virend Somersمشاهده پروفایل

استاد

• Cardiovascular Medicine
• Sleep Apnea
• Neurocirculatory Control
• +۹ مورد دیگر

Virend Somers, M.D., Ph.D. , is a Professor of Medicine at Mayo Clinic in Rochester, Minnesota, with primary appointments in the Department of Cardiovascular Medicine, and joint appointments in Physiology & Biomedical Engineering and Nephrology & Hypertension. He directs the Cardiovascular and Sleep Facilities within Mayo Clinic's Center for Clinical and Translational Science. Education: MB ChB, University of Natal D.Phil., University of Oxford Resident, Internal Medicine, University of Iowa Fellow, Cardiovascular Diseases, University of Iowa Hospitals and Clinics Research Interests: Dr. Somers' research centers on neural and vascular mechanisms in circulatory control, particularly in sleep disorders such as obstructive and central sleep apnea, hypertension, obesity, and heart failure. His team investigates autonomic nervous system regulation, chemoreflex responses, and vascular biology in humans. His work bridges basic physiology with clinical applications to improve cardiovascular outcomes. Publication Trends: His recent publications (2021–2025) show a strong emphasis on sleep-cardiovascular interactions, including blood pressure regulation during sleep, cardiovascular mortality in the context of comorbidities like obesity and COVID-19, and neurocardiological mechanisms in arrhythmias and syncope. His work frequently appears in high-impact journals such as Sleep , Journal of the American Heart Association , and Journal of Physiology . Scientific Awards: Alice Sheets Marriott Professor (2016) CTSA Mentor of the Year (2012) Distinguished Scientist in Cardiopulmonary Physiology, American College of Chest Physicians (2017) Stanford University World's Top 2% Scientists (2021) Lifetime Achievement Award, South African Society of Sleep Medicine (2012) Doctor Honoris Causa, Masaryk University (2007) Advising and Grants: Dr. Somers has mentored numerous trainees who have won national awards. His research is supported by four NIH R01 grants, a Dana Foundation grant, and a NATO grant. His leadership in collaborative research spans institutions in the U.S., Europe, and South Africa. Labs and Teams: He leads the Cardiovascular Facility and Sleep Facility at Mayo Clinic’s Center for Clinical and Translational Science, fostering interdisciplinary research on sleep and cardiovascular disease.

Mary J. Sandageمشاهده پروفایل

استاد

• Voice physiology
• Laryngeal physiology
• Exercise science applications to voice
• +۶ مورد دیگر

Mary J. Sandage is a Professor and Dean's Distinguished Research Fellow in the Department of Speech, Language & Hearing Sciences within the College of Liberal Arts at Auburn University. She serves as Graduate Program Officer and maintains an active research program focused on voice physiology and upper airway disorders. Her educational background includes: PhD in Exercise Science from Auburn University MA in Speech Language Pathology from the University of Iowa BA in English with a minor in Linguistics from Iowa State University Internationally recognized for expertise in laryngeal physiology and clinical voice rehabilitation, Dr. Sandage specializes in singing voice rehabilitation, chronic cough, inducible laryngeal obstruction, and exercise-induced laryngeal obstruction. Her research examines muscle bioenergetics, performance physiology, hormonal influences, and fatigue aspects of voice function, along with thermoregulation for upper airway disorders and healthcare disparities in speech pathology services. Analysis of her recent publications (2022-2025) reveals a strong interdisciplinary approach bridging exercise science with voice pathology. Her work consistently explores biomarkers of vocal function (particularly blood lactate), develops novel assessment tools like the Fluid Interval Test for Voice, and addresses critical gaps in differential diagnosis for upper airway disorders. She has made significant contributions to understanding vocal physiology through the lens of sports science, with applications for both clinical populations and professional voice users. Her scientific recognition includes: Fellow of the American Speech Language Hearing Association Pan American Vocology Association Recognized Vocologist Dean's Distinguished Research Fellow at Auburn University As Graduate Program Officer, Dr. Sandage oversees graduate education in Speech, Language & Hearing Sciences. Her research program includes numerous collaborative projects examining healthcare disparities, particularly in rural Alabama, and has resulted in the development of the Voice & Upper Airway Clinic within the Auburn University Speech & Hearing Clinic. She directs the Voice Physiology Lab, where she investigates applied muscle physiology, voice acoustics and aerodynamics, laryngeal imaging, and laryngeal thermophysiology. Her work frequently involves interdisciplinary collaborations with exercise scientists, otolaryngologists, and sports medicine specialists to advance understanding of voice function across diverse populations.

Karen Bandeen-Rocheمشاهده پروفایل

استاد

• Biostatistics
• Gerontology
• Aging
• +۱۴ مورد دیگر

Karen Bandeen-Roche is a Professor and the Hurley-Dorrier Professor and Chair of the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, with joint affiliations in the School of Medicine and the School of Nursing. She is a leading expert in biostatistical methodology, particularly in latent variable models, longitudinal analysis, and multivariate survival methods applied to aging and gerontology. Her research focuses on developing statistical models for unobservable processes such as frailty, resilience, and functional status in older adults. She has made significant contributions to the measurement of aging-related constructs and has extensive collaborative work in ophthalmology and neurology. Her methodological work includes mixture models, measurement error correction, and latent class modeling. The recent publications highlight a strong trend in gerontological biostatistics, with a focus on frailty, dementia risk, resilience, and multisystem physiological responses in aging. Her work integrates complex data from observational cohorts and clinical studies, often employing innovative latent variable frameworks to address measurement challenges in health outcomes. Scientific Awards and Honors: Marvin Zelen Leadership Award in Statistical Science (2016) Fellow of the American Statistical Association (2001) Brookdale National Fellow (1997) Golden Apple Award for Excellence in Teaching (2010) Garland Clay Award (1999) Chair, NIH BMRD Study Section (2006–2008) President, Eastern North American Region, International Biometric Society (2011–2013) Executive Board, International Biometric Society (2015–2022) Board of Directors, National Institute of Statistical Sciences (2020–2023) Karen Bandeen-Roche has been deeply involved in advising and training the next generation of researchers. She co-directs a training program in Biostatistics and Epidemiology of Aging and has received multiple teaching and mentoring awards. She has served on numerous academic committees, including appointments and promotions, faculty senate, and ethics committees at Johns Hopkins. Her grants and collaborative research span aging, dementia, ophthalmology, and cardiovascular health, often supported by NIH and other federal agencies. She leads the Center on Aging and Health and is actively involved in interdisciplinary research initiatives that bridge biostatistics, medicine, and public health. Her lab and research team focus on developing and applying advanced statistical methods to understand the biological and social determinants of healthy aging.

Michael Stevensمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Advanced Manufacturing
• Digital Manufacturing
• +۶ مورد دیگر

Dr. Michael Stevens is a Senior Lecturer at University of New South Wales (UNSW) Canberra , where he focuses on advanced manufacturing and biomedical device control systems . His work bridges digital manufacturing for SMEs with smart artificial heart technologies , emphasizing industry collaboration and translational research. Specializes in physiological control systems for rotary blood pumps Develops unobtrusive fall detection systems for dementia patients Leads international projects on total artificial heart development Education : B.Eng (Medical - First Class Honours), Queensland University of Technology (2010) PhD in Physiological Control for Biventricular Assist Devices, University of Queensland (2014) Research Trends show consistent focus on: Machine learning for biomedical diagnostics (2018–2025) mmWave radar and thermal sensors in patient monitoring (2021–2024) Computational fluid dynamics in artificial heart modeling (2016–2024) Physiological control algorithms for rotary blood pumps (2011–2025) Scientific Awards : UNSW Scientia Education Award (2021) for contextual teaching Heart Foundation Runner-up for "Smart Artificial Hearts" pitch (2021) ARC PGC Supervisor Award (2017) for mentoring Grants & Supervision : Holds over $6 million in competitive funding including MRFF and ARC grants. Currently supervises 4 PhD students while maintaining industry partnerships with VitalCare and BiVACOR. Labs & Facilities : Works across UNSW Engineering labs and Graduate School of Biomedical Engineering platforms, including mock circulation loops and high-performance computing clusters for CFD simulations.

Guanghao Qiمشاهده پروفایل

استادیار

• Statistical Genetics
• Genomics
• Single-cell RNA Sequencing Analysis
• +۳ مورد دیگر

Guanghao Qi is an Assistant Professor in the Department of Biostatistics at the University of Washington. His research focuses on developing statistical and machine learning methods for multi-omics approaches in genetic studies, particularly integrating single-cell RNA-seq, GWAS, and functional genomic data. Key areas include single-cell eQTL analysis, Mendelian randomization, and multi-trait genetic association analyses. Education: PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health (2020), BS in Mathematics from Fudan University (2015). Research interests emphasize high-dimensional data analysis, allele-specific expression in single cells, and causal inference using genetic variants. Notable achievements include a 2025 NIH K01 award for developing methods to integrate single-cell eQTL and GWAS data, and the development of the TWiST method for single-cell transcriptome-wide association studies. Recent work highlights advancements in computational tools like SURGE for context-specific genetic regulation analysis, and evaluations of Mendelian randomization methods in studies of type 2 diabetes and cardiovascular disease. His work often bridges computational biology and statistical theory to address challenges in interpreting large-scale genomic datasets. Awards: NIH K01 Award (2025) Key Contributions: TWiST method (2025), SURGE framework (2024), HIPO power optimization (2018) Labs/Teams: Active collaborations in genomic epidemiology and statistical genetics, with a focus on single-cell multi-omics integration and causal inference methodologies.

Harold Sniederمشاهده پروفایل

استاد

• Genetic Epidemiology
• Cardiovascular Disease
• Type 2 Diabetes
• +۷ مورد دیگر

Harold Snieder is a Professor of Genetic Epidemiology at the University Medical Center Groningen (UMCG), The Netherlands, leading the Unit of Genetic Epidemiology and Bioinformatics. Previously, he held roles including Visiting Professor at the Estonian Genome Center (2012–2015) and Full Professor of Pediatrics at the Medical College of Georgia (2005–2006). He earned his MSc from the Vrije Universiteit Amsterdam and PhD from the same institution, with postdoctoral work in London and Augusta. His research focuses on genetic and epigenetic factors influencing cardiovascular diseases, diabetes, kidney function, and mental health, employing twin studies and large cohort analyses. Key achievements include landmark studies on epigenetic markers in type 2 diabetes, genetic contributions to rheumatoid arthritis, and heritability of menopause age. His work has been funded by NIH, EU, and others, yielding over 350 peer-reviewed articles. Awards include the David Fulker Award (2002) and recognition for student mentorship, such as the Allianz European Demography Award (2017) for Felix Tropf’s thesis. Research trends emphasize epigenetic epidemiology, twin studies, and genetic-environmental interactions. His lab, the Unit of Genetic Epidemiology and Bioinformatics, drives interdisciplinary projects in public health and translational sciences. Ongoing efforts explore cardiometabolic diseases, renal biomarkers, and the genetic basis of blood pressure variability.

• Hypertension
• Cardiorenal Disease
• Metabolic Disease
• +۳ مورد دیگر

Markus Schlaich is a Professor and holds the Dobney Chair in Clinical Research at the University of Western Australia (UWA) and Royal Perth Hospital. He is affiliated with the UWA Medical School and the Department of Internal Medicine. His expertise lies in hypertension, cardiorenal disease, and metabolic disorders, with a focus on the sympathetic nervous system and renal denervation. He leads the Dobney Hypertension Centre, aiming to develop novel therapies for hypertension and its complications. Education & Career: Relocated from Germany in 2006, previously Head of the 'Neurovascular Hypertension & Kidney Disease Laboratory' at Baker IDI Heart and Diabetes Research Institute. Currently serves on multiple committees, including the Executive Committee of the High Blood Pressure Research Council of Australia and the International Society of Hypertension. Research Interests: Pathophysiology of hypertension, sympathetic nervous system modulation, renal denervation, and clinical translation of therapies. Key contributions include advancing renal denervation as a treatment for resistant hypertension. Awards: Recipient of the Australian Museum Eureka Prize for Medical Research Translation and 18 other research awards. Recognized for work in hypertension and cardiorenal/metabolic disease. Grants & Projects: Leads or co-investigates 33 grants, including NHMRC Senior Research Fellowship. Active in projects like the Primary Aldosteronism Centre of Excellence and studies on SGLT inhibitors' cardiorenal effects. Labs & Teams: Heads the interdisciplinary Dobney Hypertension Centre, focusing on translational research and clinical innovation. Collaborates internationally on studies like the Global Burden of Disease initiative.

Raquel Iniestaمشاهده پروفایل

استاد

• Machine Learning for Precision Medicine
• Ethics of AI
• Topological Data Analysis
• +۳ مورد دیگر

Raquel Iniesta is a Reader in Statistical Learning for Precision Medicine at King's College London, leading the Fair Modelling and TDA lab within the Department of Biostatistics & Health Informatics. Her expertise spans mathematics, statistics, and machine learning applied to precision medicine, with a focus on ethical AI integration in healthcare. She teaches advanced machine learning and statistical modeling courses and actively engages in scientific communication through workshops and media outreach. Her research emphasizes developing transparent AI models for personalized medicine, particularly in depression, hypertension, and neurodegenerative diseases. Notable contributions include studies on fasciculation analysis in ALS and ethical frameworks for healthcare AI. Publications highlight interdisciplinary approaches, combining machine learning with clinical and genetic data to improve predictive models. Dr. Iniesta leads educational initiatives, including the Machine Learning module and Introduction to Statistics programs, and contributes to public engagement by designing digital content and managing social media for research dissemination.

Matteo Fasioloمشاهده پروفایل

مدرس ارشد

• Generalized Additive Models
• Electricity Demand Forecasting
• Covariance Matrix Modeling
• +۳ مورد دیگر

Dr. Matteo Fasiolo is a Senior Lecturer in the School of Mathematics at the University of Bristol, specializing in Statistical Science. His research focuses on advanced statistical modeling with significant applications in electricity demand forecasting and medical statistics, leveraging Generalized Additive Models (GAMs) as a core methodology. His primary research interests span: Generalized Additive Models and their extensions for complex data structures Covariance matrix modeling for high-dimensional energy forecasting Probabilistic forecasting techniques for uncertainty quantification Statistical machine learning including variational inference and contrastive learning Applications in electricity grid management and medical diagnostics Recent publications (2023-2025) reveal a dual focus: developing scalable statistical methods for electricity net-demand prediction in Great Britain using additive covariance models, and applying distributional regression to medical challenges like kidney function decline and cardiovascular risk prediction. His work on SoftCVI demonstrates innovation in variational inference, while extensions to GAMs address both mean modeling and full distributional forecasting. Dr. Fasiolo has supervised at least one student as indicated by university records. His research outputs include 16 publications and 2 publicly available datasets, reflecting active contributions to methodological statistics and domain-specific applications in energy systems.

Jeremy Walshمشاهده پروفایل

استادیار

• Cognitive Health
• Exercise Physiology
• Neuroscience
• +۳ مورد دیگر

Dr. Jeremy Walsh is an Assistant Professor in the Department of Kinesiology at McMaster University, joining in 2020. He holds a PhD in Exercise Physiology from Queen’s University and postdoctoral training at the University of Ottawa and University of British Columbia Okanagan. His research focuses on mechanisms linking exercise, behavior, and cognitive health, aiming to develop interventions to optimize brain function across lifespans. Education: Bachelor of Arts (Honours Kinesiology) – Wilfrid Laurier University (2005-2009) MSc and PhD in Exercise Physiology – Queen’s University (2010-2017) Postdoctoral Fellowships: Children’s Hospital of Eastern Ontario Research Institute (2018-2020) and University of British Columbia Okanagan Research Interests: Dr. Walsh investigates how exercise, diet, sleep, and cognitive engagement impact brain health. Key areas include BDNF signaling, cerebral blood flow, and interventions to mitigate neurological decline. His work spans aging populations, obesity, and spinal cord injury rehabilitation. Teaching: Instructor for courses like Psychophysiology of Healthy Living, Exercise Psychology, and Movement Behaviors & Brain Health Supervises independent research projects in kinesiology Key Contributions: His studies on ketone supplementation’s effects on cognition, exercise responses in obesity, and BDNF modulation have been widely cited. Over 60 scholarly outputs since 2013 highlight his exploration of exercise neuroscience and metabolic health. Labs/Teams: Leads research groups studying neurophysiological adaptations to exercise and lifestyle interventions, collaborating with clinical partners in diabetes and spinal cord injury research.

• Epidemiology
• Genetic Epidemiology
• Public Health
• +۹ مورد دیگر

Neil Martin Davies is a Researcher at the Department of Public Health and Nursing , Norwegian University of Science and Technology (NTNU) . His work bridges epidemiology, genetics, and public health, with a focus on causal inference, Mendelian randomization, and socioeconomic health disparities. His research explores the intersection of genetic epidemiology , developmental psychology , and clinical outcomes . Key themes include the impacts of antiseizure medications in pregnancy , cardiometabolic risks in psychiatric populations , and health policy implications of Mendelian randomization . Recent publications highlight methodological advancements in directed acyclic graphs (DAGs) , instrumental variable analysis , and family-based sampling . His work frequently addresses parental education effects , sleep patterns , and genetic correlations in large cohorts like UK Biobank. Neil Martin Davies contributes to scientific reporting standards , co-authoring the STROBE-MR guidelines for Mendelian randomization studies. His collaborations span neurology , mental health , and health economics , emphasizing causal relationships over correlational findings.