جست‌وجوی استاد و پژوهشگر

• Cardiovascular Genetics
• Genomics
• Precision Medicine
• +۵ مورد دیگر

Vincent Mooser, MD, is a Professor in the Department of Human Genetics at McGill University's Faculty of Medicine and Health Sciences and an Associate Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC). He is a key member of the Cardiovascular Health Across the Lifespan Program at RI-MUHC, focusing on translational genomic research in cardiovascular and metabolic disorders. Dr. Mooser's research centers on cardiovascular genetics, genomics, and precision medicine, with emphasis on pharmacogenetics, obesity-related diseases, and population-specific genetic variations. His work leverages multi-ancestry cohorts and integrative 'omics' approaches to identify causal pathways and therapeutic targets, particularly in coronary artery disease and metabolic complications. He has pioneered research on genetic determinants of drug responses and disease susceptibility across diverse populations. Analysis of his recent publications (2024-2025) reveals a dominant focus on multi-ancestry Mendelian randomization, proteogenomics, and biobank-driven studies. Key trends include the identification of actionable mediators like endotrophin in obesity-related cardiovascular disease, development of population-specific genomic tools for French-Canadian cohorts, and investigations into long COVID genetics. His work consistently bridges fundamental genomics with clinical applications through initiatives like the Biobanque québécoise de la COVID-19 (BQC19). Dr. Mooser co-leads the BQC19 biobank initiative and contributes to the Cardiovascular Health Across the Lifespan Program at RI-MUHC, utilizing large-scale genomic datasets and collaborative frameworks to advance precision medicine in cardiovascular health.

• Astrophysics
• Cosmology
• Galaxy Evolution
• +۳ مورد دیگر

Karim Tanveer is a Research Fellow at the University of Toronto's Dunlap Institute for Astronomy & Astrophysics and Department of Astronomy & Astrophysics. His work spans cosmology, galaxy evolution, and instrumentation for large-scale surveys like the Dark Energy Spectroscopic Instrument (DESI). Current research focuses on precision cosmology through emission-line galaxies, photometric redshift estimation, and the interstellar medium's dynamics, including Fermi bubbles and galactic nuclear outflows. Key Research Themes: Cosmological parameter estimation via DESI and CMB lensing Galactic nuclear wind and outflow gas mapping Target selection algorithms for spectroscopic instruments UV absorption studies of galactic structures Next-generation infrared surveys like NANCY Instrumentation & Data: He contributes to DESI's large-scale structure catalogs, target pipelines, and data validation processes. His work bridges observational techniques with cosmological constraints, emphasizing systematic error mitigation in parameter inference.

LeAnn Howeمشاهده پروفایل

استاد

• Chromatin structure
• Histone modifications
• Gene expression
• +۷ مورد دیگر

Dr. LeAnn Howe is a Professor in the Department of Biochemistry and Molecular Biology within the Faculty of Medicine at the University of British Columbia. Her research focuses on chromatin structure, histone modifications, and gene expression regulation, employing molecular biology and bioinformatics approaches to investigate how epigenetic mechanisms maintain cellular identity and contribute to human diseases. Education: CIHR Post-Doctoral Fellow, Pennsylvania State University, 2003 PhD, University of Victoria, 1998 BSc, University of Victoria, 1992 Dr. Howe's research primarily investigates how chromatin structure influences gene expression patterns in eukaryotic cells. Her work examines the roles of histones, histone chaperones, histone variants, and histone post-translational modifications in preserving active gene expression states. She has made significant contributions to understanding how transcription shapes histone acetylation patterns, how histone modifications recruit chromatin-modifying complexes, and how these processes maintain cellular identity. Her research has important implications for understanding aberrant gene expression in human diseases, including cancer. Her recent publications (2021-2025) demonstrate a continued focus on chromatin biology and epigenetic regulation, with expanding interests in the intersection of genetics, environmental factors, and human health. Her work spans from fundamental molecular mechanisms in yeast models to human health applications, showing a trajectory from basic science to translational research. The breadth of her work covers chromatin structure, transcription regulation, epigenetic inheritance, and the application of genetic methodologies to understand complex traits and disease mechanisms. Scientific Contributions: Elucidated mechanisms of histone modification and chromatin structure maintenance Investigated transcription's role in shaping genome-wide histone acetylation patterns Explored connections between epigenetic mechanisms and human disease Expanded research into genetic epidemiology and complex trait analysis Dr. Howe maintains an active research program with consistent publication output across multiple high-impact journals including Nature Communications, Genetics, and Proceedings of the National Academy of Sciences. She leads a research group focused on chromatin and epigenetics at UBC's Life Sciences Centre (office 5509), combining molecular biology techniques with bioinformatics approaches to study fundamental mechanisms of gene regulation.

Steven G. Cummingمشاهده پروفایل

استاد

• Spatial analysis and modeling of ecological processes
• Forest stand dynamics
• Fire disturbances in boreal forests
• +۴ مورد دیگر

Dr. Steven G. Cumming is a Professor in the Department of Wood and Forest Sciences at Laval University's Faculty of Forestry and Geomatics. He holds a Ph.D. in Forest Ecology from the University of British Columbia (1997), complemented by advanced degrees in Computer Science from Simon Fraser University (M.Sc., 1986) and the University of Alberta (B.Sc., 1981). He served as the Holder of the Canada Research Chair in Boreal Ecosystem Modelling from 2006 to 2016, reflecting his national prominence in this field. Dr. Cumming's research spans spatial analysis and modeling of ecological processes, with particular expertise in forest stand dynamics and fire disturbances in boreal forests. His work bridges theoretical ecological modeling and practical applications for conservation and forest management. He has made significant contributions to the Boreal Avian Modeling Project, developing statistical models to predict bird distribution and abundance across the boreal region. His recent work focuses on climate change impacts, developing dynamic models for Quebec's boreal forest and methodological tools for modeling nearly 100 bird species. His publication record demonstrates consistent productivity through 2025, with multiple high-impact papers annually addressing critical issues in boreal ecology, climate change, and conservation. Dr. Cumming actively supervises both doctoral and master's students, maintaining a robust research program with numerous ongoing projects. Major Research Projects: Canadian Forest Resource Inventory Data The Canadian Beacons Project The Boreal Avian Modeling Project Vegetation plot data for modeling, mapping and forecasting understory vegetation Dr. Cumming's work shows a clear progression from foundational ecological research to leadership in large-scale modeling initiatives addressing urgent environmental challenges. His unique background in both computer science and forest ecology has positioned him as a leader in developing innovative modeling approaches for complex ecological systems.

• Bioinformatics
• Biostatistics
• Genomics
• +۴ مورد دیگر

Jason de Koning serves as an Assistant Professor in the Department of Medical Genetics at the University of Calgary. His academic appointment focuses on advancing genomic research through computational and statistical methodologies, with primary responsibilities in research and teaching within medical genetics. His research program centers on enabling high-throughput inference from large genomic datasets using novel computational, statistical, and bioinformatic approaches. Key objectives include predicting the functional impact and clinical significance of sequence variation in individual human genomes, with additional investigations in molecular evolution and comparative genomics. His core research domains include: Bioinformatics Biostatistics Genomics Comparative Genomics Statistical Genomics Personal Genomics Molecular Evolution Dr. de Koning maintains active research operations with contact available at jason.dekoning@ucalgary.ca. Current information indicates no formal laboratory group structure or external affiliations beyond his primary university appointment.

Matthew Joseph Kusnerمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Pattern Analysis
• +۵ مورد دیگر

Matt J. Kusner is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds additional affiliations as a Senior Academic Member at Mila - Quebec Artificial Intelligence Institute and as a Member at the Institute for Data Valorization (IVADO). Previously, he served as an Associate Professor at University College London and the University of Oxford. Professor Kusner's research spans machine learning, with particular focus on causal inference, fairness in algorithms, representation learning, and domain adaptation. His work bridges theoretical foundations with practical applications in natural language processing, algorithmic fairness, and scientific computing domains including plasma physics and renewable energy systems. His research interests include Pattern Analysis and Artificial Intelligence, Algorithms, and Learning and Inference Theories. His publication record shows consistent output across top machine learning venues including NeurIPS, ICML, and ICLR, with recent work trending toward causal machine learning methods and applications in scientific domains. Professor Kusner has 42 publications spanning from 2014 to 2025, demonstrating sustained research productivity. Turner Dissertation Award for best doctoral dissertation in Computer Science & Engineering Professor Kusner received his PhD in Computer Science from Washington University in St. Louis in 2016 under Kilian Weinberger. His work has been featured in major media outlets including The Guardian, Forbes, and the Harvard Business Review, and he has presented at prestigious institutions including the Federal Reserve Banks, Cambridge Centre for Mathematical Sciences, and the Royal Society.

Junxi Zhangمشاهده پروفایل

استادیار

• Statistics
• Machine learning
• Bayesian nonparametric models
• +۶ مورد دیگر

Junxi Zhang is an Assistant Professor in the Department of Mathematics and Statistics at Concordia University's Faculty of Arts and Science. He joined Concordia University in August 2024 after completing a postdoctoral fellowship at the University of Alberta, where he continues to maintain academic connections. His academic journey includes: PhD in Statistics from the University of Alberta (2023) Master in Mathematics from the University of Kansas (2017) BS in Statistics from Huazhong University of Science and Technology Dr. Zhang's research spans several interconnected areas at the forefront of statistical methodology and machine learning: Bayesian nonparametric models: Conducting asymptotic analysis of random measures, studying consistency properties, and developing dependent and hierarchical models with practical applications Fairness in machine learning: Creating frameworks for fair prediction models, developing metrics for measuring fairness, and applying these approaches to health science domains where algorithmic bias can have serious consequences Reinforcement learning: Addressing fundamental challenges in optimal control within reinforcement learning frameworks Emerging interests: Expanding into conformal inference, causal inference, and time series analysis using machine learning tools His publication record demonstrates a productive trajectory with research appearing in top venues including NeurIPS and Bayesian Analysis. His work bridges theoretical statistical foundations with practical applications, particularly in healthcare and social domains where fairness considerations are increasingly critical. Dr. Zhang has received recognition through publications in prestigious venues and is actively contributing to the academic community through conference presentations and collaborative research. His work on fairness in AI addresses one of the most pressing challenges in contemporary machine learning. As an educator, Dr. Zhang teaches courses including Data Science Lab, Time Series and Forecasting, and specialized topics in statistics with focuses on Bayesian modeling and reinforcement learning. He is currently seeking graduate students for the Mathematics and Statistics MA, MSc, and PhD programs at Concordia University. His research group provides students with opportunities to engage in meaningful research that addresses both theoretical challenges in statistics and practical applications in machine learning, with particular emphasis on developing fair and trustworthy AI systems.

Robert William Plattمشاهده پروفایل

استاد

• Biostatistics
• Pharmacoepidemiology
• Perinatal Epidemiology
• +۵ مورد دیگر

Robert William Platt is a Professor jointly appointed in the departments of Epidemiology, Biostatistics, and Occupational Health and Pediatrics at McGill University. He holds the Albert Boehringer I endowed chair in Pharmacoepidemiology and serves as Senior Investigator at the Research Institute of the McGill University Health Centre and Lady Davis Institute. As Executive Co-Lead of the Canadian Network for Observational Drug Effect Studies (CNODES), he directs methodological research on drug safety. His research program focuses on: Advanced statistical methods for pharmacoepidemiology Causal inference in observational data Perinatal medication safety Prediction model development Large-scale administrative data analysis Professor Platt has received the prestigious Albert Boehringer I endowed chair recognizing his contributions to pharmacoepidemiology. He maintains editorial leadership as Editor-in-Chief of Statistics in Medicine and serves on editorial boards of leading epidemiology journals. While currently not accepting graduate students, he oversees a significant research portfolio through CNODES and affiliated institutes. His methodological work supports nationwide drug safety surveillance and has produced over 325 publications advancing epidemiological research methods.

• Quantitative Analysis
• Statistical Modeling
• Operations Research

Seyed Nasseri is an Associate Professor and Continuing Faculty member at University Canada West (UCW), affiliated with the Department of Quantitative Studies. He holds graduate faculty status, indicating involvement in advanced academic programs. His position requires no indication of part-time engagement. Research domains inferred from his departmental affiliation emphasize: Quantitative methodologies for business and data analysis Statistical modeling and applied mathematics Operational research techniques