جستجوی استاد راهنمای دانشگاهی

Ellis Owusu-Daboمشاهده پروفایل

استاد

• Public Health
• Population Genomics
• Type II Diabetes
• +۷ مورد دیگر

Ellis Owusu-Dabo, MB ChB, PhD, is a Professor and the Vice-Chancellor at Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He is also an International Scholar affiliated with the Center for Global Health at the University of Pennsylvania. His work bridges academic leadership, research, and global health collaboration, with a strong focus on public health challenges in Africa. His research interests are centered on population genomics of type II diabetes and tuberculosis , particularly in low-resource settings. He has led and contributed to major multinational studies on infectious diseases such as typhoid and non-typhoidal Salmonella, as well as chronic conditions like hypertension and cardiovascular disease. His research integrates epidemiological, genetic, and immunological approaches to understand disease burden and improve health outcomes in African populations. His recent publications reflect a strong trend in infectious disease surveillance, non-communicable disease epidemiology, and digital health interventions . He has published in high-impact journals including The Lancet Infectious Diseases , PLoS One , and International Journal of Cardiology , often as part of large collaborative consortia such as the RODAM study and the Vacc-iNTS consortium. Scientific Contributions and Projects: Lead facilitator of the D43 grant between the University of Pennsylvania and KNUST Planned hosting of University of Pennsylvania students for global health training Involved in multinational typhoid surveillance across seven African countries Conducted national studies on multi-drug resistance in Ghana with support from the Global Fund and WHO As an academic leader and mentor, Prof. Owusu-Dabo is passionate about building research capacity in Africa and training the next generation of scientists to address local and global health challenges. He has secured research funding and led collaborative projects that integrate public health, genomics, and policy. Laboratories and Teams: While specific lab names are not mentioned, his work is associated with collaborative research teams including the Vacc-iNTS consortium and the RODAM study, which involve institutions across Europe, North America, and Africa. His leadership at KNUST positions him at the center of a growing network of global health researchers in Ghana.

• Cardiovascular Disease
• Coronary Microvascular Dysfunction
• Invasive Coronary Function Testing
• +۳ مورد دیگر

Nida Latif is a Research Fellow in the Department of Internal Medicine at Yale School of Medicine. Her work focuses on understanding coronary microvascular dysfunction and ischemic heart disease in patients with nonobstructive coronary arteries, particularly in women. She is a key contributor to the DISCOVER INOCA multicenter registry, evaluating invasive coronary function testing protocols and diagnostic strategies. Her research integrates clinical, anatomical, and physiological data to improve diagnostic accuracy and patient outcomes. Key areas of investigation include coronary vasoreactivity testing, risk factor analysis in ischemic syndromes, and the impact of diabetes on angina pathophysiology. Latif's publications highlight advancements in coronary flow reserve measurement, comparison of diagnostic modalities (e.g., PET vs thermodilution), and the clinical utility of vessel-specific analysis. Her work emphasizes translational outcomes, bridging basic science insights with clinical practice improvements. While no specific awards are listed, her contributions to high-impact clinical registries and peer-reviewed publications reflect her active role in advancing cardiovascular medicine.

• Medical Statistics
• Biostatistics
• Epidemiology
• +۳ مورد دیگر

Ruth Keogh is a Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM), affiliated with the Medical Statistics Department within the Faculty of Epidemiology and Population Health. She is Co-Director of the Centre for Data and Statistical Science for Health (DASH) and serves as Departmental Research Degrees Coordinator. Her academic career has spanned roles from Lecturer (2012–2015) to Associate Professor (2015–2019) before attaining her current rank in 2019. Keogh holds advanced degrees including a DPhil in Medical Statistics/Epidemiology (University of Oxford, 2007), MSc in Applied Statistics (Oxford, 2003), and BSc in Mathematics and Statistics (University of Edinburgh, 2002). Her research focuses on causal inference, clinical trial emulation using real-world data, and applications in cystic fibrosis, infectious diseases, and public health. She leads projects on lung function trajectories, vaccine efficacy, and healthcare policy analysis. Her work integrates biostatistical methods with epidemiological studies, emphasizing rigorous analysis of observational data to inform clinical decisions. Notable areas include evaluating antibiotic treatments for cystic fibrosis patients, assessing diagnostic test accuracy for dengue and leptospirosis, and modeling vaccine effectiveness during the COVID-19 pandemic. She teaches courses in survival analysis, electronic health records, and health data science at LSHTM. Keogh has held leadership roles in the International Biometric Society and the STRATOS Initiative, and she has delivered keynote addresses at international conferences on trial emulation and biostatistical methods. Her contributions bridge methodological innovation and practical health challenges, with over 190 publications and active engagement in global health research networks.

• Statistical Methods in Biomedical Research
• Biomarker Analysis
• Clinical Trial Design
• +۷ مورد دیگر

Todd A. Alonzo is a Professor of Research in the Department of Preventive Medicine at the University of Southern California . As Group Statistician for the Children's Oncology Group , he focuses on statistical methods for biomarker analysis, medical diagnostic testing, and clinical trial design in pediatric acute myeloid leukemia (AML). Education: B.S. in Statistics, California State Polytechnic University (1994) MS and PhD in Biostatistics, University of Washington (1997, 2000) Research Interests include: Development of statistical frameworks for diagnostic accuracy Genomic and proteomic profiling in AML Pharmacogenomic score systems for chemotherapy response Non-inferiority trial design in low-event-rate settings Health disparities in pediatric oncology Scientific Awards : Fellow, American Statistical Association (2018) Outstanding Teacher Award, International Society for Magnetic Resonance in Medicine (2017) NIH Predoctoral Cardiovascular Biostatistics Training Grant (1995) ENAR Biometrics Society Distinguished Student Paper Award (1999) WNAR Biometrics Society Best Student Oral Presentation (1999) Leadership & Service includes editorial board memberships (Biometrics, Pediatric Blood & Cancer, Biometrical Journal), reviewer for 30+ scientific journals, and roles on multiple Data Safety and Monitoring Boards. He served as President of the International Biometric Society Western Northern America Region (WNAR) in 2009.

Nemanja Stanišićمشاهده پروفایل

استاد

• Corporate Finance
• Banking
• Audit
• +۳ مورد دیگر

Dr. Nemanja Stanišić is a Full Professor at Singidunum University's Faculty of Business, with a distinguished academic career spanning over 15 years. He holds a Ph.D. in Corporate Finance from Singidunum University (2010), an MBA in Finance from Lincoln University (2007), and a Bachelor's in Accounting from the University of Belgrade (2005). His expertise focuses on Corporate Finance, Banking, Audit, and Applied Statistical Analysis. His research integrates quantitative methods with economic theory, addressing topics such as audit opinion prediction using AI, tourism destination competitiveness, financial distress dynamics, and air pollution health impacts. He co-authored textbooks including Contemporary Exchange and E-business (2010) and Financial Statement Analysis (2024), and served as Editor-in-Chief of The European Journal of Applied Economics . He teaches courses from Financial Accounting to Advanced Financial Engineering at undergraduate, master's, and Ph.D. levels. The 15 most recent publications highlight his interdisciplinary approach: 7 in Finance/Audit, 5 in Tourism/Hospitality, and 3 in Environmental Health. Key trends include applying machine learning to audit quality (2023), multilevel modeling for hospitality satisfaction (2015-2019), and air pollution mortality analysis (2016). His work appears in high-impact journals like Tourism Management (IF 10.125) and Environmental Health (IF 4.986). He held administrative roles including Rector (2020-2021) and Vice President of Singidunum University. He served as Vice Dean for Student Affairs (2010-2011) and participated in TEMPUS projects for educational reform. He mentors graduate students extensively, advising 100+ bachelor's, 57 master's, and 4 doctoral theses, including international candidates. His visiting professorship at Bangkok's ICO NIDA and teaching in Austria-Singidunum joint programs reflect global engagement. Professional development includes advanced training at Utrecht University (Bayesian Modeling, 2019), Stanford (Mentoring, 2010), and NYU (Valuation, 2012). He reviews for top journals like Annals of Tourism Research and Cornell Hospitality Quarterly , with 1017 Google Scholar citations and 349 Scopus citations. Current research involves the Science Fund of Serbia's TOURCOMSERBIA project evaluating tourism competitiveness models.

Nivee Pradip Aminمشاهده پروفایل

استادیار بالینی

• Cardiovascular Disease
• Women's Cardiovascular Health
• Preventive Cardiology
• +۳ مورد دیگر

Dr. Nivee Pradip Amin serves as Clinical Assistant Professor of Medicine at Weill Cornell Medical College and Assistant Attending Physician at NewYork-Presbyterian Hospital, holding leadership roles as Associate Director for Consultative Cardiology and Director of the Women's Heart Program & Preventive Cardiology. Her clinical expertise spans general cardiology, preventive cardiology, and echocardiography with focus on high-risk cardiovascular prevention. Her educational credentials include: B.A., B.S. in International Studies and Business from University of Pennsylvania (2002) M.D. from Johns Hopkins University School of Medicine (2007) M.H.S. in Clinical Investigation from Johns Hopkins Bloomberg School of Public Health (2013) Research centers on sex-based disparities in cardiovascular outcomes, women's heart health across the lifespan, and preventive strategies for coronary/valvular disease. She investigates intersections between cardiology and obstetrics/oncology, emphasizing personalized risk assessment and early intervention to improve quality of life. Analysis of her publications reveals consistent focus on women's cardiovascular biomarkers (e.g., breast arterial calcium), obstetric complications as long-term risk factors, and disparities in revascularization outcomes. Her work leverages large-scale database analysis to address gaps in preventive care for high-risk populations including cancer patients and those with cirrhosis. Dr. Amin maintains active board certifications in Internal Medicine, Cardiovascular Diseases, Nuclear Cardiology, and Echocardiography through the American Board of Internal Medicine, and holds professional memberships in the American College of Cardiology, American Society for Preventive Cardiology, and American Heart Association. She provides inpatient consultative care on cardiac telemetry units while leading the Women's Heart Program, which integrates preventive cardiology services with gender-specific treatment protocols. Fluent in Spanish, she emphasizes culturally competent care tailored to individual patient needs across diverse populations.

• Non-Communicable Diseases
• Global Health
• Health Services Research
• +۳ مورد دیگر

Dr. Jeremy I. Schwartz is an Associate Professor at Yale School of Medicine (Department of Medicine) and Yale School of Public Health (Department of Chronic Disease Epidemiology). He specializes in non-communicable diseases (NCDs), global health, and digital health interventions. As Firm Chief of Yale Primary Care Residency Program and Director of the Faculty Network Program at the Yale Institute for Global Health, he leads initiatives to improve healthcare delivery in low-resource settings. He co-founded the Uganda Initiative for Integrated Management of Non-Communicable Diseases (UINCD), collaborating with Ugandan institutions to address fragmented NCD care. His research focuses on hypertension, diabetes, and heart failure management in Uganda, leveraging mobile health (mHealth) tools. He also directs the 'Topics in Global Medicine' course at Yale, training future healthcare leaders in global health challenges. Education: MD from University of Rochester School of Medicine & Dentistry (2006), BS from Cornell University (2000). Honors include the Doran J. Stevens Prize (2006), Gold Humanism Honor Society (2006), and Alpha Omega Alpha (2005). Key roles: Medical Director of the Eastern Caribbean Health Outcomes Research Network (ECHORN), Co-Director of UINCD, and affiliated faculty at the Yale Institute for Global Health and Center for Interdisciplinary Research on AIDS. His work emphasizes interdisciplinary collaboration, with a focus on Africa and the Caribbean. Research emphasizes integrated care models, digital health innovations, and policy advocacy for NCDs. Recent projects include adapting mobile health applications for heart failure patients and evaluating cost barriers to essential medicines in Uganda.

Bertram Müller-Myhsokمشاهده پروفایل

استاد پژوهش

• Psychiatric Genetics
• Statistical Genetics
• Transcriptomics
• +۳ مورد دیگر

Bertram Müller-Myhsok is a Research Professor and Research Group Leader at the Max Planck Institute of Psychiatry in Munich, Germany. His research focuses on statistical genetics and transcriptomic data analysis in psychiatric disorders, particularly major depression, PTSD, schizophrenia, and their treatment responses. He integrates machine learning with genetic and clinical data to develop predictive models and stratified treatment approaches. Professional activities include leadership roles in the International Max Planck Research School for Translational Psychiatry and collaborations with institutions like the Institut du Cerveau (Paris) and Bernhard Nocht Institute (Hamburg). His work spans genetic epidemiology, psychiatric genomics, and precision medicine, with over 400 publications in high-impact journals. Key research areas include identifying genetic risk factors for mental disorders, developing polygenic scores, and leveraging omics data to uncover disease mechanisms. He leads projects like Psych-STRATA, a Horizon Europe-funded initiative advancing personalized psychiatry through pharmacogenomics.

Meng Liمشاهده پروفایل

دانشیار

• Bayesian Analysis
• Machine Learning
• Functional Data Analysis
• +۸ مورد دیگر

Meng Li is the Noah Harding Associate Professor of Statistics at Rice University's School of Engineering. He specializes in Bayesian analysis, machine learning, and statistical theory. His research bridges methodological development and applications in biomedical sciences, materials informatics, and neuroimaging. Li holds a Ph.D. from North Carolina State University and a B.S. from Sun Yat-sen University. He has been recognized with awards including the 2020 Rice Engineering Excellence Award and the Ralph E. Powe Junior Faculty Enhancement Award. Li's research focuses on probabilistic modeling of complex data such as images, functional data, and networks. His funded projects include AI frameworks for pancreatic cancer biomarkers and Bayesian spatiotemporal modeling of marine ecosystems. He collaborates with institutions like Houston Methodist and Baylor College of Medicine on medical applications. His teaching includes advanced courses like Bayesian Statistics and Advanced Bayesian Inference. He advises over 30 students, many of whom have pursued academic and industry roles. Li serves as an associate editor for Bayesian Analysis and the new ACM Transactions on Probabilistic Machine Learning.

Markus Brinkmannمشاهده پروفایل

دانشیار

• Exposure and risk assessment modelling
• Toxicokinetic modelling
• Aquatic ecotoxicology
• +۳ مورد دیگر

Dr. Markus Brinkmann is an Associate Professor in the School of Environment and Sustainability at the University of Saskatchewan, Canada, and Director of the Toxicology Centre. He holds the Centennial Enhancement Chair in Mechanistic Environmental Toxicology. His research focuses on exposure and risk assessment modeling, toxicokinetic modeling, and aquatic ecotoxicology, with an emphasis on understanding contaminant effects under realistic environmental conditions. Affiliations: Associate Professor, University of Saskatchewan Director, Toxicology Centre Member, Global Water Futures Program Member, Global Institute for Water Security Education: Ph.D. (Biology) - RWTH Aachen University, Germany (2015) M.Sc. (Ecotoxicology) - RWTH Aachen University, Germany (2011) B.Sc. (Biology) - RWTH Aachen University, Germany (2009) Research Interests: Dr. Brinkmann develops computational models to predict contaminant uptake, effects, and cross-species extrapolation. His work integrates toxicology, environmental chemistry, and hydrology to address challenges like flood-related contaminant remobilization and dioxin-like compound toxicity. Key areas include: Mechanistic toxicology of emerging contaminants (e.g., 6PPD-quinone, PFAS alternatives) Sediment toxicity and bioavailability Wastewater surveillance for public health monitoring Grant Highlights: Global Water Futures Program (2018-2023): Hydrological-exposure models for environmental risk assessment Genome Canada (2016-2020): EcoToxChip for chemical prioritization Banting Postdoctoral Fellowship (2016-2018) Awards: Friedrich-Wilhelm-Award (2016) SETAC GLB Young Scientists Award (2016 PhD, 2012 MSc) Borchers medal (2016) Leadership: He advises on strategic research partnerships between Canada and Germany and collaborates globally on projects like the EcoToxChip and Project House Water . His work bridges academic research with practical environmental management solutions.

• Physical Activity Epidemiology
• Public Health
• Cardiometabolic Health
• +۴ مورد دیگر

Emmanuel Stamatakis is a Professor of Physical Activity, Lifestyle, and Population Health at the University of Sydney's School of Health Sciences (Faculty of Medicine and Health). He holds NHMRC Leadership Fellowships (2021-2025 and 2026-2030) and leads the Charles Perkins Centre's Physical Activity & Exercise Theme. His research focuses on lifestyle behaviors' impacts on cardiometabolic conditions, cancer, and cardiovascular health, using large-scale cohort studies and wearable device data. Key roles include directing the Mackenzie Wearables Research Hub and co-chairing WHO's Physical Activity Guidelines Development Group. Education: PhD from University of Bristol (2003), post-doctoral training at University College London. He leads the ProPASS consortium, involving 45 cohorts with wearable data. Over 460 peer-reviewed publications, including Clarivate's Highly Cited list since 2019. Research interests integrate physical activity, sedentary behavior, and sleep analytics with clinical outcomes. Current projects explore wearables-based measurement innovations, SPAN (sleep-physical activity-nutrition) synergies, and intervention designs for GLP-1 receptor agonist users. Recent articles emphasize VILPA (vigorous intermittent lifestyle physical activity) benefits, sleep-cardiovascular links, and multimodal lifestyle optimization. Awards include Australia's Top Researcher in Sports Medicine and multiple NHMRC grants. Supervises PhD projects on physical activity measurement and intervention design. Active in 50+ peer-reviewed journals and national/international funding bodies.

• 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.

Gabriela V. Cohen Freueمشاهده پروفایل

دانشیار

• Statistical Methodology
• High-Dimensional Data Analysis
• Robust Statistics
• +۶ مورد دیگر

Gabriela V. Cohen Freue is an Associate Professor in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus, and holds a Canada Research Chair (CRC Tier 2). She leads an interdisciplinary research program focusing on developing robust statistical methodologies for analyzing high-dimensional data in genomics and proteomics, with applications in medical sciences. Her work addresses challenges such as outliers, collinearity, and measurement errors, with applications in biomarker discovery for diseases like multiple sclerosis, cardiovascular disorders, and asthma. Her academic journey includes collaborations across disciplines, including with the BC Cancer Agency, PROOF Centre of Excellence, and iCAPTURE. She has pioneered methods like the Penalized Elastic Net S-Estimator (PENSE) and contributed to proteomic data analysis tools such as the Protein Group Code Algorithm (PGCA). She also co-developed the MDQC quality control method for microarrays. Research interests include robust regression, biomarker development, and statistical methods for big data. Her team includes postdocs, PhD, and MSc students, with a focus on training in both statistical rigor and interdisciplinary collaboration. Notable grants include a CANSSI Collaborative Research Team Project (CRT) award for robust causal inference and prediction modeling. Teaching responsibilities span statistical consulting, high-dimensional biological data analysis, and generalized linear models. She emphasizes active learning and real-world problem-solving in her courses. Her lab’s work is supported by grants from the Data Science Institute (DSI) and collaborations with institutions like the PROOF Centre. Alumni of her group hold positions in academia (e.g., George Mason University) and industry (e.g., Merck, BC Cancer Research Centre).

• Maternal Fetal Medicine
• Ultrasound
• Preeclampsia
• +۳ مورد دیگر

Giuseppe Rizzo is a Full Professor at the Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome. His academic career focuses on Maternal Fetal Medicine, with expertise in ultrasound applications, fetal growth restriction, preeclampsia, and congenital anomalies. Research Interests : Delivery optimization, prematurity prediction, ultrasound diagnostics, and placental anomalies. Recent Publications : Over 15 high-impact studies in 2024-2025 on topics like umbilical cord abnormalities, cerebroplacental ratios, and gestational diabetes complications. Clinical Expertise : Prenatal counseling, Doppler ultrasound, and labor management protocols. Collaborations : Active in multicenter trials across Italy and Europe, with a focus on fetal neurosonology and high-fidelity obstetric simulation.

Xin Zhouمشاهده پروفایل

پژوهشگر ارشد

• Computational Biology
• Health Informatics
• Cardiovascular Disease Modeling
• +۳ مورد دیگر

Dr. Xin Zhou is an Oxford-Bristol Myers Squibb Fellow at the Department of Computer Science, University of Oxford. Her research integrates computational modeling, clinical data, and experimental findings to investigate cardiac disease mechanisms and develop human-based simulations for drug evaluation. BSc and MSc in Life Sciences, Beijing Normal University DPhil in Computational Biology, University of Oxford Her work focuses on multi-scale cardiac modeling , particularly in ischemic heart disease and heart failure, exploring ionic currents, tissue conduction, and organ-level dynamics. She develops electromechanical simulations to study cardiac alternans and arrhythmic risks, translating these into clinical applications for patient stratification and pharmaceutical testing. Recent publications emphasize in silico clinical trials , sex-specific cardiometabolic analysis, and Purkinje network modeling. Collaborative efforts with clinicians and pharmaceutical partners highlight her translational approach to regulatory science. Model of the Year 2024, BioModels EPSRC Impact Acceleration Account Microsoft Research Project Award Recognition Award, University of Oxford She supervises PhD and MSc students in computational cardiology, while serving on the editorial board of Frontiers in Physiology . Her current projects involve digital twinning and predictive cardiac safety models to reduce animal testing reliance.