جست‌وجوی استاد و پژوهشگر

Brian Rossمشاهده پروفایل

استاد

• Artificial Intelligence
• Computational Intelligence
• Genetic Programming
• +۱۰ مورد دیگر

Brian Ross is a Professor at the Department of Computer Science, Brock University. He holds a BSc (Hon) from the University of Manitoba, MSc from the University of British Columbia, and PhD in Artificial Intelligence from the University of Edinburgh. His research focuses on evolutionary computation , particularly genetic programming , with applications in computational biology , evolutionary design , and computational aesthetics . Education: BSc Computer Science (Hon), University of Manitoba MSc Computer Science, University of British Columbia PhD Artificial Intelligence, University of Edinburgh Research Interests: Computational Intelligence: genetic programming, evolutionary algorithms, multi-objective optimization Evolutionary Design: computational aesthetics, 2D/3D modeling, energy-efficient architecture Applications: computational biology, stochastic process algebra, GPU-based image analysis Article Trends: His recent work combines deep learning with evolutionary algorithms to enhance diversity in agent behavior and design optimization. Earlier studies focused on stochastic modeling of biological networks and procedural texture generation . Collaborations span computational aesthetics, passive solar architecture, and non-photorealistic rendering techniques. Students & Collaborations: He has supervised diverse projects including evolved intelligent agents , passive solar building design , and evolutionary art systems . Notable students include Marshall Joseph (2023), Tyler Cowan (2021), and Sheikh Faishal Basher (2021).

Paula Brancoمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Data Science
• +۸ مورد دیگر

Paula Branco is an Assistant Professor at the School of Electrical Engineering and Computer Science, University of Ottawa (since 2020). Previously, she was a PostDoctoral Fellow at Dalhousie University's Faculty of Computer Science (2019). She holds a PhD in Computer Science from the University of Porto, alongside a MSc in Data Mining and a Mathematics degree. She is an external researcher at INESC TEC's LIAAD laboratory. Her research focuses on Machine Learning, particularly utility-based learning and imbalanced domains, with applications in cybersecurity, healthcare, and environmental monitoring. Key areas include anomaly detection, fraud detection, rare event prediction, and spatio-temporal data analysis. Recent work emphasizes resampling techniques for imbalanced regression (e.g., SMOGN, ImbalancedLearningRegression Python package), evaluation metrics for imbalanced domains, and cybersecurity applications like intrusion detection and malware analysis. She has supervised seven graduate students and contributed to open-source projects like UBL (R package) and ImbalanceMetrics. Her teaching includes courses on databases and AI for cybersecurity. She actively publishes in top venues and collaborates on tools like SMOGN-LIDTA17 and NeighborhoodBiasResamplingRegression.

Javier Orlandiمشاهده پروفایل

استادیار

• Neuroscience
• Complexity Science
• Statistical Physics
• +۵ مورد دیگر

Javier Orlandi is an Assistant Professor in the Department of Physics and Astronomy at the University of Calgary, where he leads the Complex Neural Systems Lab as a Canada Research Chair. His research bridges systems neuroscience, complexity science, and statistical physics, focusing on understanding distributed coding principles in the brain and their impact on perception and learning. He employs computational and experimental approaches, including large-scale calcium imaging and optogenetic manipulation, in collaboration with institutions such as the Hotchkiss Brain Institute and the Computational Neuroscience Platform. Orlandi earned his Ph.D. in Physics from the University of Barcelona (2015), studying spontaneous activity in neuronal cultures. Subsequent postdoctoral research included work at the University of Barcelona (2015–2016) on Huntington’s disease, followed by the University of Calgary (2016–2019) and RIKEN Center for Brain Science in Japan (2019–2022), where he explored cortical processing during decision-making. His research has addressed criticality in neural systems, network inference, and the impact of genetic mutations on brain activity. Key areas of interest include self-organized criticality, neuro-glia communication, and the development of tools like NETCAL for analyzing calcium imaging data. Orlandi has organized challenges to advance connectomics and holds the Eyes High Postdoctoral Fellowship and Canada Research Chair awards. His work integrates theoretical models with experimental data to uncover fundamental principles of neural computation. Affiliations: Complexity Science Group, Hotchkiss Brain Institute, Computational Neuroscience Platform Education: Ph.D. in Physics (University of Barcelona, 2015) Grants: Canada Research Chair, Eyes High Postdoctoral Fellowship Labs: Complex Neural Systems Lab at University of Calgary

Anmar Khadraمشاهده پروفایل

استاد

• Mathematical Biology
• Computational Biology
• Complex Systems
• +۱۲ مورد دیگر

Anmar Khadra is a Full Professor in the Department of Physiology at McGill University's Faculty of Medicine. His research integrates mathematical and computational approaches to study complex biological systems across neuroscience, immunology, and cell biology, with a strong emphasis on developing predictive models that bridge multiple scales of biological organization. Dr. Khadra's research focuses on the interface of complex systems, nonlinear and stochastic dynamics, biophysics, numerical computations, and artificial intelligence. His work employs multiscale complex systems and computational AI-based models to study cellular and network dynamics in various physiological systems. Key research areas include: Neural rhythms and ion channel regulation of neural excitability System-level neural responses during rest and upon receiving stimuli Spontaneous and evoked calcium responses in neuronal and other cellular systems T cell activation mechanisms by pMHC-coated nanoparticles Cellular migration patterns and protein network regulation His recent publications (2024-2025) demonstrate a sophisticated integration of biophysical modeling with experimental validation across multiple physiological domains. The research spans from molecular-level investigations of ion channels to system-level analyses of neural populations and immune responses. A notable trend is the development of computational tools like ElecFeX for electrophysiological data analysis, alongside theoretical frameworks for understanding complex biological phenomena such as the sensitivity-specificity trade-offs in T cell responses and neural coding mechanisms. Dr. Khadra leads the Khadra Lab, which develops computational models that closely adhere to physiological properties of biological systems. These models bridge multiscale components and predict emergent behavior, generating testable predictions that guide experimental work conducted by collaborators. His research has significant implications for understanding fundamental biological processes as well as potential applications in neurological disorders, immune-related conditions, and cellular dysfunction.

Caroline Schild-Poulterمشاهده پروفایل

استاد

• Molecular Biology
• Genetics
• DNA Repair
• +۳ مورد دیگر

Caroline Schild-Poulter is a Professor and Scientist at the Robarts Research Institute, affiliated with the Schulich School of Medicine & Dentistry at Western University in London, Ontario, Canada. She leads research in the Molecular Medicine department, specifically within the Vascular and Brain Health Group, focusing on DNA damage response mechanisms and their implications in cancer development. Education: Undergraduate in Biology at the University of Lausanne, Switzerland (Major in Molecular Biology) Master's and PhD at the University of Lausanne (Topic: Mechanisms regulating gene expression) PhD training included a 2-year stage at the National Institutes of Health, Bethesda, USA Dr. Schild-Poulter's research program centers on DNA repair/signaling pathways activated by double-stranded DNA breaks, one of the most dangerous forms of DNA damage. Her work specifically investigates how DNA gets repaired and how apoptosis is activated when repair is not completed. Her research has significant implications for understanding cancer development, stroke, and aging processes. She has made notable contributions to understanding the roles of RanBPM in controlling apoptosis in response to DNA damage and how the DNA repair factor Ku functions to repair and signal from double-stranded DNA breaks. Analysis of her publication record shows consistent focus on DNA repair mechanisms, with recent work expanding into RNA-mediated immunity and protein degradation pathways. Scientific Awards: Natural Sciences and Engineering Research Council Canada (NSERC) Discovery Accelerator Award (DAS) Post-doctoral Fellowship, Medical Research Council of Canada and the Arthritis Society Post-doctoral Fellowship, Association pour la Recherche sur le Cancer (France) Fellowship, Centre National de la Recherche Scientifique (France) Post-doctoral Fellowship, Swiss National Science Foundation (Switzerland) Dr. Schild-Poulter has received significant research funding through competitive grants, including the prestigious NSERC Discovery Accelerator Award which supports her innovative work in DNA repair mechanisms. Her research program has led to numerous publications in high-impact journals and has contributed significantly to our understanding of genomic instability and cancer development. While specific students aren't listed in the available information, her position as a Professor suggests she mentors graduate students and postdoctoral fellows in her laboratory, contributing to the next generation of molecular biologists and cancer researchers. Dr. Schild-Poulter is a key member of the Molecular Medicine research group at Robarts Research Institute, where she maintains an active laboratory investigating DNA damage response pathways. Her work bridges basic molecular mechanisms with potential clinical applications in cancer treatment and prevention, particularly focusing on the critical balance between DNA repair and programmed cell death that prevents malignant transformation.

Yan Yanمشاهده پروفایل

استادیار

• Bioinformatics
• Machine Learning
• Big Data Analysis
• +۷ مورد دیگر

Yan Yan is an Assistant Professor at the School of Computer Science, University of Guelph. His research focuses on bioinformatics, multi-omics analysis, and AI-driven computational models for understanding biological processes. His lab develops algorithms for genome-wide association studies, single-cell RNA-seq analysis, and de novo peptide sequencing, with applications in plant genomics and digital agriculture. Education : Not explicitly stated, but his publications suggest advanced training in bioinformatics and computational biology. Research Interests : Bioinformatics, Machine Learning, Big Data Analysis, Statistical Association, and AI applications in agriculture. His work integrates artificial intelligence with omics data to uncover disease mechanisms and improve agricultural practices. Recent trends in his publications emphasize robotics, structural health monitoring, and environmental sensing using hybrid neural networks and deep learning techniques. Grants & Awards : No awards explicitly listed, but his prolific publication record indicates sustained research activity. Advising & Labs : Advises students like B S Puliparambil and J Tomal. His lab actively collaborates on projects involving AI in agriculture, robotics, and structural engineering. Current initiatives include digital twins for human-robot collaboration and precision livestock monitoring systems. Labs/Teams : Leads a computational biology and AI lab focusing on multi-omics integration and smart agriculture solutions.

Daniel Y Chenمشاهده پروفایل

مدرس

• Data Science Education
• Statistics
• Bioinformatics
• +۳ مورد دیگر

Daniel Y Chen is a Lecturer in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus. He holds a PhD Candidate status in Genetics, Bioinformatics, and Computational Biology at Virginia Tech, focusing on data science education in the biomedical sciences. His expertise includes statistical computing, open source software development, and reproducible research practices. Education: PhD Candidate (in progress): Genetics, Bioinformatics & Computational Biology, Virginia Tech MSc: Relevant field (implied via career progression) Research Interests: Daniel's work bridges data science pedagogy and biomedical applications. He focuses on improving computational literacy among medical practitioners through accessible education resources, open source tools, and reproducible workflows. His technical contributions span R and Python ecosystems, including packages like grader and pyprojroot , and authoring Pandas for Everyone . He actively promotes best practices in scientific programming and collaborative software development. Grants & Contributions: Contributions to RStudio's gradethis and learnr packages Open source maintenance (e.g., Arch Linux AUR packages) Labs/Teams: Affiliated with UBC's Data Science for Biomedicine (DS4BIOMED) initiative and Virginia Tech's Social Decision Analytics Laboratory. Collaborates with RStudio and GitHub communities on education and tool development.

Chun Pengمشاهده پروفایل

استاد

• Female Reproduction
• Molecular Biology
• Cell Biology
• +۶ مورد دیگر

Dr. Chun Peng is a Full Professor and Tier 1 York Research Chair in Women's Reproductive Health in the Department of Biology at York University. He leads the Peng Lab, focusing on female reproduction, ovarian cancer, and placental development. His research employs molecular biology, biochemistry, and bioinformatics to explore growth factors, hormones, and miRNAs in reproductive health disorders like preeclampsia and ovarian cancer. Education: PhD from the University of Alberta, M.Sc. and B.Sc. from Zhongshan University, China. Research Interests: Molecular mechanisms of ovarian cancer, miRNA regulation in reproduction, and novel therapies targeting β-catenin inhibitors. Current projects include placental signaling networks, circular RNAs in cancer, and zebrafish ovarian development. Funding: Supported by Canadian Institutes of Health Research, NSERC, Cancer Research Society, and York University. The lab has produced over 100 publications and trained numerous graduate students and postdocs. Awards: Tier 1 York Research Chair (2022). Lab members have received scholarships like NSERC, OGS, and York Graduate Scholarships. Lab Infrastructure: Bioinformatics tools for miRNA analysis, ImageJ plugins for cell counting, and collaborations in plasmonic nanoparticle biosensors.

Marcel Turcotteمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Algorithm Design
• +۳ مورد دیگر

Dr. Marcel Turcotte is an Associate Professor at the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa. He holds a Ph.D. from Université de Montréal and has conducted postdoctoral research at the University of Florida and the Imperial Cancer Research Fund in the UK. His research focuses on bioinformatics, computational biology, algorithm design, and machine learning applications in biological systems. Education: Ph.D., Université de Montréal (advisor: Guy Lapalme and Robert Cedergren) Postdoctoral Work: University of Florida (Steve Benner lab), Imperial Cancer Research Fund (Biomolecular Modelling Laboratory) His research interests include RNA structure prediction, protein secondary structure analysis, evolutionary-based bioinformatics methods, and computational intelligence applied to genomic data. He has developed algorithms like WACS for ChIP-seq analysis and RiboFSM for RNA structural motif discovery. His work bridges computer science and molecular biology, addressing challenges in genomic data interpretation and predictive modeling. Dr. Turcotte’s recent publications emphasize machine learning applications in RNA and protein structure analysis, as well as computational tools for genomic sequence mining. He has contributed to understanding gene fragmentation in Diplonema mitochondria and host susceptibility prediction for RNA viruses. His interdisciplinary approach integrates algorithm design with biological problem-solving. No scientific awards or grants are explicitly mentioned in the provided text. His academic profile includes collaborations in bioinformatics, computational biology, and educational methodologies for engineering students.

Sébastien Tremblayمشاهده پروفایل

استادیار

• Neuroscience
• Psychiatry
• Neurotechnology
• +۵ مورد دیگر

Sébastien Tremblay is an Assistant Professor in the Department of Psychiatry and Neuroscience at Université Laval’s Faculty of Medicine. He is also a researcher at CERVO, focusing on integrative neuroscience and experimental therapies. His work bridges psychology, engineering, gene therapy, and neurosurgery, with a strong emphasis on non-human primate models and neurotechnology development. MSc in Psychology, Université de Montréal PhD in Neuroscience, McGill University Postdoctoral Fellow, Montreal Neurological Institute Postdoctoral Fellow, Perelman School of Medicine, University of Pennsylvania Dr. Tremblay’s research centers on neurotechnology development for modulating brain activity , particularly in treating mental disorders. His team specializes in optogenetics , chemogenetics , wireless neurophysiology , and MRI-guided neurosurgery , prioritizing translational applications from primate models to human treatments. Key interests include understanding social behavior neural signatures and developing tools for clinicians. His publications highlight trends in primate neuroscience , neurotechnology , opioidergic systems , and traumatic brain injury . Recent work includes single-cell genomics, viral vector optimization, and social behavior neural decoding. 2023 Brain Star Award, Canadian Association for Neuroscience 2022 University of Pennsylvania’s Year of Neuromodulation Speaker 2020 Human Frontier Science Program Fellow 2019 Banting Fellow, CIHR 2018 MIT Hacking Medicine Health Innovation Prize ... + 20+ more awards Dr. Tremblay’s grants include Banting Fellowships , NSERC Scholarships , and institutional awards. His lab collaborates with institutions like the Allen Institute for Brain Science and MIT Hacking Medicine . The Translational Neurosurgery Laboratory at CERVO develops neurotechnologies for brain modulation. It focuses on non-human primate research , integrating psychology , engineering , and neurosurgery to create clinical tools for brain disease treatment.

Leluo Guanمشاهده پروفایل

استاد

• Animal Microbiome
• Functional Genomics
• Host-Microbe Interactions
• +۳ مورد دیگر

Leluo Guan is a Professor in the Department of Applied Biology within the Faculty of Land and Food Systems at the University of British Columbia (UBC), holding the prestigious Canada Research Chair (Tier 1) in Animal Functional Genomics and Microbiome. Based in Vancouver's Food, Nutrition and Health building, he leads cutting-edge research at the intersection of animal science and microbiome biology. His academic foundation includes: 1985-1989: BSc in Biological Sciences, Wuhan University, PR China 1990-1993: MSc in Pharmaceutical Science, Kyoto University, Japan 1993-1996: PhD in Pharmaceutical Science, Kyoto University, Japan Dr. Guan's research program centers on host-microbiome interactions in food-producing animals, primarily cattle. He employs metagenomics, metatranscriptomics, metabolomics, and functional genomics to characterize bovine gut microbiomes, elucidate molecular mechanisms of host-microbe crosstalk, and investigate associations between microbial ecology and feed efficiency, methane emissions, and gut immunity. His work bridges microbial ecology with economically significant livestock traits through advanced omics integration. Analysis of his publication record reveals consistent emphasis on rumen microbiome dynamics across cattle production systems. Key trends include multi-omics approaches to link microbial communities with host physiology, investigation of early-life microbiome development, and exploration of host genetic influences on microbiome composition. His work increasingly focuses on functional characterization of microbial activities rather than mere taxonomic identification. His scientific recognition includes: Canada Research Chair (Tier 1) in Animal Functional Genomics and Microbiome Dr. Guan mentors graduate students in applied animal biology while directing a research program funded by the Canada Research Chairs initiative and competitive grants. His team develops innovative methodologies for microbiome analysis, contributing to sustainable livestock production through improved understanding of host-microbe symbiosis. Current work integrates host genomics with microbiome functional profiling to develop precision nutrition strategies for cattle.

• Medical Entomology
• Vector Biology
• Genomics
• +۳ مورد دیگر

Dr. Benjamin Matthews is an Assistant Professor in Zoology at the University of British Columbia (UBC), within the Faculty of Science. He is affiliated with the Biodiversity Research Centre and focuses on understanding the genomic and neurobiological basis of adaptive behaviors in mosquitoes, particularly Aedes aegypti, which transmit diseases like Dengue and Zika. His lab employs techniques including genomics, CRISPR-Cas9 genome editing, and neurobiological assays to study blood-feeding, egg-laying preferences, and sensory mechanisms. Research interests center on vector biology, sensory systems, and behavioral genetics. Key topics include mosquito host-seeking behavior, olfactory and thermal sensing, and the genetic underpinnings of oviposition. Matthews' work has advanced CRISPR-based tools for editing mosquito genomes and quantifying behavioral traits like egg-laying site selection. Recent publications highlight innovations in gene editing validation, sensory compensation in host attraction, and the molecular basis of oviposition behavior. His studies also address ecological concerns, such as invasive mosquito species in Canada and the evolution of blood-feeding adaptations. Matthews collaborates on interdisciplinary projects bridging genetics, ecology, and public health. He leads a lab at UBC's Biodiversity Research Centre (2212 Main Mall, Vancouver), emphasizing both fundamental research and applied strategies for vector control. His work contributes to understanding how environmental and genetic factors shape vector competence and disease transmission dynamics.

Philip Griebelمشاهده پروفایل

استاد

• Mucosal Immunology
• Vaccine Development
• Infectious Disease Pathogenesis
• +۳ مورد دیگر

Philip Griebel is a Professor in the School of Public Health at the University of Saskatchewan and an Associate Member of the Department of Veterinary Microbiology. He holds a BSc (Honours) in Cell Biology (University of Victoria, 1977), a DVM (University of Saskatchewan, 1981), and a PhD in Viral Immunology (University of Saskatchewan, 1988). Since 2003, he has led the Pathogenomics Research Group at VIDO (Vaccine and Infectious Disease Organization). His research focuses on mucosal immune responses, vaccine development for prion diseases, and mechanisms of immune regulation in neonatal ruminants. He is also a Canada Research Chair in Neonatal Mucosal Immunology (2009–Present). Key research themes include: analysis of innate immune responses using gene knockout mice; mucosal immune system development in newborn ruminants; and stress effects on viral/bacterial infections in cattle. He collaborates extensively with teams like Scott Napper’s group on prion vaccines and Andrew Potter’s lab on immune cell biology. Notable achievements include pioneering work on Mycobacterium avium pathogenesis and the role of commensal microbiota in mucosal immunity. His lab has developed novel vaccine approaches targeting persistent enteric pathogens and prion diseases. He has published over 150 peer-reviewed articles, with recent work focusing on miRNA regulation in bovine immunity and antibody-based prion neutralization strategies.

• Cardiology and Circulatory Sciences
• Pulmonary Hypertension
• Immune Mediators (Cytokines/Chemokines)
• +۵ مورد دیگر

Dr. Mark Ormiston is an Assistant Professor in Queen's University's Departments of Medicine, Surgery, and Biomedical and Molecular Sciences, affiliated with the Faculty of Health Sciences. He holds the Canada Research Chair in Regenerative Cardiovascular Medicine and has cross-appointments in the Translational Institute of Medicine (TIME). His research focuses on immune-endothelial interactions in pulmonary arterial hypertension (PAH), particularly the role of natural killer (NK) cells and BMPR-II signaling defects. Education: PhD (Biomedical Engineering/Cardiovascular Sciences, U of Toronto, 2009), MASc (Biomedical Engineering, U of Toronto, 2004), BASc (Chemical Engineering, Queen's University, 2002) Postdoctoral training: University of Cambridge (2009–2015) Research interests include PAH pathogenesis, immune mediators (cytokines/chemokines), immunotherapy, and vascular endothelium biology. His lab investigates how endothelial dysfunction drives PAH and how immune cells like NK cells contribute to disease progression. Key projects involve BMPR-II mutations and their impact on immune signaling, as well as developing cell-based therapies. Teaching roles include BCHM 218: Molecular Biology , PHGY 355: Biomedical Respiratory Physiology , and TMED 800: Translational Medicine . Scientific awards include the Canada Research Chair designation. Recent publications highlight advancements in BMPR-II-targeted therapies, NK cell dysfunction in PAH, and endothelial progenitor cell applications. Labs/Teams: Active in Queen's Laboratory for Molecular Pathology (QLMP) collaborations and TIME initiatives. Research integrates proteomics, cell biology, and translational medicine approaches.

Chris Wangمشاهده پروفایل

دانشیار

• Stem Cell Biology
• Developmental Biology
• Molecular Genetics
• +۳ مورد دیگر

Chris Wang is an Associate Professor of Biology and Chair of the Sciences department at Ambrose University. He joined the faculty in Fall 2017 and holds a PhD from the University of Calgary, following an MSc and BSc from the University of Calgary and University of Lethbridge, respectively. His research focuses on understanding the molecular mechanisms governing the balance between stem cell proliferation and differentiation, using Caenorhabditis elegans and human tissue culture models. Central to his work is the GLP-1/Notch signaling pathway and the role of TEG-1/CD2BP2 in regulating microRNA abundance and germline development. Wang has published extensively in journals such as PLOS Genetics , Genetics , and Scientific Reports , with recent studies investigating Notch signaling in tumor suppression and affinity matrix bioengineering. His teaching philosophy emphasizes active and team-based learning, and he instructs courses including Cellular and Molecular Biology, Developmental Biology, and Cancer Biology. His research team includes advisees like Ramya Singh, Sadaf Sangari, and Kara Vanden Broek, who present at conferences such as the International C. elegans Conference. Key areas of exploration include scaffold proteins like RACK-1 and the role of the RNA-induced silencing complex (RISC) in stem cell regulation.