جست‌وجوی استاد و پژوهشگر

• Canola Genetics
• Molecular Breeding
• Plant Genetics
• +۵ مورد دیگر

Habibur Rahman is a Professor at the University of Alberta's Department of Agricultural, Food & Nutritional Science, within the Faculty of Agricultural, Life and Environmental Sciences. His research focuses on canola genetics and molecular breeding, aiming to enhance yield, disease resistance, and seed quality through conventional and advanced genomic techniques. He holds a PhD from Copenhagen University (Denmark). Teaching responsibilities include courses such as PLSc 365 (Genetic Improvement of Crop Plants), AFNS 565 (Plant Breeding), and PL SC 352 (Invasive Alien Plants). His research integrates molecular markers, genomics, and biotechnology to broaden canola's genetic base and introgress traits like disease resistance via wide hybridization. Key research interests include clubroot resistance mechanisms, Brassica genetics, and the application of omics tools for crop improvement. His work addresses challenges in canola production, including pathogen resistance and agronomic trait optimization. Recent projects explore silicon's role in clubroot management and the genetic basis of seed quality traits in Brassica species. Rahman collaborates on interdisciplinary studies, including metabolomic and transcriptomic analyses of plant-pathogen interactions. His contributions advance sustainable agricultural practices through genetic innovation and precision breeding.

Hamid Habibiمشاهده پروفایل

استاد

• Endocrine Control of Reproduction
• Growth Hormone Regulation
• Fish Endocrinology
• +۲ مورد دیگر

Hamid Habibi is Professor in the Department of Biological Sciences at University of Calgary, with cross-appointment to the Libin Cardiovascular Institute. His research explores endocrine control of reproduction and growth in vertebrates, emphasizing gonadotropin regulation, GnRH applications, and environmental endocrine disruption using fish models. Awarded the Khwarizmi International Prize and UNESCO/TWAS professorship, his innovations include transgenic plant-based fish growth enhancement. Education includes a PhD and B.S. in Biological Sciences from University of Birmingham. Research integrates molecular endocrinology with environmental toxicology, examining GnRH functional diversity, thyroid-reproductive interactions, endocrine disruption mechanisms, and probiotic interventions against contaminants. Studies utilize goldfish and zebrafish models to dissect hypothalamic-pituitary-gonadal axis regulation. Recent publications demonstrate strong focus on endocrine disruptor impacts (BPA, glyphosate, phthalates) in aquatic models, thyroid-gonadal crosstalk, and probiotic mitigation strategies. Metabolomic/transcriptomic approaches reveal contaminant effects on reproduction and metabolism. Visiting Professorship, Università Politecnica delle Marche, Italy (2015) 18th Khwarazmi International Distinguished Research Award (2005) Grace Pickford Medal (2001) UNESCO/TWAS Professorship in Sustainable Development (2001) Leads projects on agrochemical impacts funded by NSERC and industry partners. Supervises graduate trainees in cellular/molecular biology techniques within the Aquatic Endocrinology Laboratory.

• Bayesian Statistics
• Biostatistics
• Mixture Models
• +۶ مورد دیگر

Mahlet G. Tadesse is a Professor and Chair of the Department of Mathematics & Statistics at Georgetown University. She previously held an Assistant Professor position at the University of Pennsylvania. She earned her Ph.D. and M.Sc. in Biostatistics from Harvard University and a B.S. in Mathematics from the University of the District of Columbia. Her research focuses on developing statistical and computational tools for analyzing genomic data, with emphasis on Bayesian methods, variable selection, and integrative approaches to genomic data analysis. Her expertise spans Bayesian statistics, biostatistics, mixture models, and omics-based bioinformatics. She investigates high-dimensional datasets to identify biological markers, predict clinical outcomes, and integrate biological knowledge into genomic studies. Current projects include biomarker discovery for hepatocellular carcinoma, analysis of maternal-fetal genetic interactions, and modeling species dynamics in biodiversity-rich ecosystems. Dr. Tadesse has published extensively on topics such as Bayesian variable selection, integrative genomics, and computational methods in proteomics and metabolomics. Her work bridges statistical theory and application, addressing challenges in precision medicine, cancer biology, and ecological dynamics. Scientific Awards: Elected Member of the International Statistical Institute (2006), Fellow of the American Statistical Association (2013) Her contributions include advancing alignment methods for LC-MS data, developing hierarchical models for multi-omics integration, and exploring racial disparities in cancer outcomes. She leads Georgetown’s Mathematics & Statistics Department, fostering interdisciplinary research and education in data science.

Yang Niمشاهده پروفایل

دانشیار

• Causal discovery
• Bayesian nonparametrics
• Graphical models
• +۳ مورد دیگر

Yang Ni is an Associate Professor in the Department of Statistics at Texas A&M University, part of the College of Arts & Sciences. She holds an office in Blocker 458E and can be reached at yni@stat.tamu.edu. Her research focuses on causal discovery, Bayesian nonparametrics, and applications in multi-omics data and electronic health records. Education & Affiliations: Department of Statistics, Texas A&M University Research Interests: Dr. Ni specializes in advanced statistical methodologies, including graphical models and Bayesian nonparametric techniques. Her applied work spans single-cell and microbiome multi-omics analysis, aiming to uncover biological interactions and improve healthcare through electronic health record integration. Grants & Awards: No specific grants or awards are listed in the provided text. Advising & Labs: No student advisees or specific lab affiliations are detailed here. Her department is located at 447 Blocker Building, College Station, TX.

Chad A. Shawمشاهده پروفایل

استاد

• Statistics
• Genomics
• Systems Biology
• +۳ مورد دیگر

Chad A. Shaw is a Professor at Baylor College of Medicine and a Joint Professor of Statistics at Rice University. He serves as Director of the D2K Laboratory at Rice, and holds additional roles including Investigator at the Jan and Dan Duncan Neurological Research Institute and Faculty Member at the Baylor College of Medicine’s STaR Center and Quantitative & Computational Biosciences program. His expertise spans statistical genomics, bioinformatics, and molecular genetics. Education: BS in Mathematics (Duke University, 1995); PhD in Statistics (Rice University, 2001). Research Interests: Focuses on statistical methods for genomics, including next-generation sequencing analysis, structural variation studies, and clinical exome sequencing. Key contributions include probabilistic models for mutation transmission in human genetic diseases, copy-number variation analysis, and functionalization of genetic variants. His work bridges computational statistics with clinical applications, addressing challenges in rare disease diagnostics and Mendelian disorder modifiers. Publications: Over 200 peer-reviewed articles, including foundational studies on recurrence risk in genetic disorders and mechanisms of structural variation. Recent work emphasizes Bayesian modeling in sequencing assays, CNV-driven genetic diseases, and prenatal genomic analysis. Awards/Grants: No explicit awards mentioned, but his research has been cited ~17,000 times. Active in grant-funded projects across computational and clinical genomics. Advising: Trained 5 PhD students and advised over 10 others, with students contributing to areas like high-dimensional regression and software tools for variant prioritization. Labs/Teams: Leads the D2K Laboratory at Rice, fostering interdisciplinary research in data science and computational biology.

• Mathematical Statistics
• Biostatistics
• Medical Research
• +۳ مورد دیگر

Lu Ting is a Professor at the Department of Mathematics within the Courant Institute of Mathematical Sciences, New York University. Their research integrates mathematical statistics and biostatistics with applications in oncology, environmental health, and precision medicine. Key focuses include molecular pathway analysis in glioma, biomarker development for drug resistance, and statistical methods in translational research. Research interests span mathematical modeling of cancer therapies, environmental exposure impacts on human health, and optimization algorithms. Notable projects include longitudinal studies on World Trade Center (WTC) exposure effects and sphericity testing in high-dimensional covariance matrices. Publications from 2015–2024 reflect interdisciplinary work combining mathematical rigor with biomedical challenges, particularly in cancer treatment optimization and environmental health surveillance. No scientific awards or grants are explicitly documented in the provided text.

Markus Perolaمشاهده پروفایل

پژوهشگر

• Biomedicine
• Genetic Epidemiology
• Population Health
• +۵ مورد دیگر

Markus Perola serves as a University Researcher at the University of Helsinki, holding dual roles as Supervisor for the Doctoral Programme in Biomedicine and the Doctoral Programme in Population Health. He maintains an active external position at THL (Finnish Institute for Health and Welfare) since 2001, demonstrating long-term commitment to national public health research. His research spans Biomedicine , Genetic Epidemiology , and Population Health , with particular focus on Genetic determinants of autoimmune diseases and diabetes Chronobiology and socioeconomic interactions Mitochondrial mechanisms in liver disease Large-scale biobank analytics (FinnGen) Electronic health record mining for clinical insights cutting-edge methodologies in precision medicine and population-scale data integration. Analysis of his 367 publications reveals dominant themes in genomic epidemiology and translational biomedicine , with recent work emphasizing AI-driven risk prediction (particularly for COVID-19 outcomes), mitochondrial pathways in chronic diseases, and fine-scale genetic ancestry mapping. His research increasingly integrates multi-omics data with real-world clinical records. His scientific leadership includes major EU-funded initiatives: B1MGplus (€10,420 funding) EU/PROPHET (€66,681 funding) PRIMUS privacy-preserving meta-learning project GoE: Genome of Europe initiative FinnGen biobank consortium Perola actively supervises doctoral candidates through two university programs while contributing to 34 media engagements that translate complex genomic findings for public understanding. His work demonstrates consistent translational impact from basic genetic mechanisms to clinical applications and public health policy.

• Aquaculture Nutrition
• Sustainable Feed Development
• Biorefinery Technology
• +۱۲ مورد دیگر

Margareth Øverland is a Professor at the Norwegian University of Life Sciences (NMBU), affiliated with the Faculty of Biosciences and the Department of Animal and Aquacultural Sciences. She serves as the Center Director of the Center for Research-based Innovation (CRI) Foods of Norway , a leading initiative in sustainable aquafeed development. Her work integrates advanced biotechnology and biorefinery approaches to create novel, renewable feed ingredients for aquaculture and livestock. Her research focuses on utilizing alternative resources such as tree biomass, marine macroalgae, insect meals, and microbial proteins (e.g., Paecilomyces variotii , yeast) to replace traditional feed components. She investigates their effects on animal growth, gut health, immune function, and product quality, with a strong emphasis on sustainability and circular economy principles. Her recent publications (2022–2025) reveal a clear trend toward high-impact, interdisciplinary studies involving meta-analyses, controlled field trials, and multi-omics approaches (proteomics, microbiome analysis). These works span aquaculture (Atlantic salmon, rainbow trout) and terrestrial livestock (pigs, poultry, dairy cows), demonstrating the broad applicability of her research. Keywords across her articles include sustainable feed, alternative proteins, immunonutrition, gut microbiota, and biorefinery technology. While no specific scientific awards are listed in the provided text, her leadership of a major CRI indicates national and likely international recognition. She is actively involved in advising through her research center and supervising projects, though individual student names are not provided. Her laboratory and team operate under the Foods of Norway CRI, which brings together interdisciplinary researchers to develop innovative feed solutions. The center likely includes expertise in bioprocessing, nutrition trials, microbiology, and environmental assessment, supporting large-scale, real-world applications of sustainable feed technologies.

• Metabolic Disease
• Systems Biology
• Insulin Signaling
• +۴ مورد دیگر

Professor David E James is the Leonard P Ullmann Chair of Metabolic Systems Biology at the Charles Perkins Centre, University of Sydney. He holds concurrent professorial positions in the School of Life and Environmental Sciences and School of Medical Sciences. His research focuses on understanding metabolic diseases through systems biology approaches, particularly insulin signaling pathways and gene-environment interactions. His academic journey includes a PhD from UNSW (1985), postdoctoral work at Boston University and Washington University, and leadership roles at the Garvan Institute and Charles Perkins Centre. He has supervised 32 PhD students and mentored 42 early career researchers. Research interests span metabolic disease mechanisms, protein phosphorylation networks, and translational strategies for diabetes prevention. Notable achievements include pioneering methods to measure insulin action in vivo and identifying novel targets for metabolic drug development. Major awards include the NSW Premier’s Medical Research Prize (2016) and Fellowship of the Australian Academy of Science (2007). His lab collaborates internationally with groups studying model organisms (flies, mice) and clinical cohorts to bridge basic science and human health applications. Current projects include: Phosphoproteomic analysis of insulin resistance Exercise-induced metabolic adaptations Genetic modifiers of metabolic health His work integrates multi-omics data to uncover deterministic features of metabolic systems, with implications for precision medicine and food technology innovation.

Karen T. Hastingsمشاهده پروفایل

استاد

• Skin Cancer
• Immunology
• Dermatology
• +۶ مورد دیگر

Karen T. Hastings is a Professor and Inaugural Chair of the Department of Dermatology at the University of Arizona College of Medicine - Phoenix . Her research program focuses on antigen presentation , T cell responses , and neoantigen dynamics in skin cancer (melanoma and cutaneous squamous cell carcinoma). She leads a multidisciplinary team combining immunological , bioinformatic , and molecular biological approaches. Education: MD, PhD (Immunology) - Harvard University (2000) Residency - Yale New Haven Hospital (Dermatology, 2004) Postdoctoral Fellowship - Yale University (Immunobiology, 2006) Research Interests encompass skin cancer immunobiology , antigen processing , immune checkpoint regulation , and bioinformatics modeling of neoantigen landscapes. Her lab has defined GILT as a critical enzyme in MHC class II antigen presentation and investigates its role in tumor-immune interactions using: Genetically engineered mouse models Human tumor specimen analysis Transcriptomic profiling Multi-omics integration Immune cell deconvolution Her scientific contributions include: Elucidating GILT's role in central T cell tolerance Developing neoantigen prediction frameworks Characterizing immune infiltration patterns in viral-mediated HCC Identifying sex-based molecular differences in HCC Trainees under her mentorship have received NIH F30 grants , Medical Student Awards , and travel awards to international conferences. The Hastings Lab collaborates with researchers at Arizona State University and participates in translational cancer research initiatives.

Tejesvi Mysoreمشاهده پروفایل

پژوهشگر ارشد

• Microbiome
• Extracellular Vesicles
• Mycobiome
• +۳ مورد دیگر

Tejesvi Mysore, PhD and Docent, serves as a Senior Research Fellow at the Research Unit of Clinical Medicine within the Faculty of Medicine, University of Oulu, Finland. His work bridges microbiome science, extracellular vesicle biology, and computational analytics to investigate bacterial and fungal extracellular vesicles (BEVs) across diverse biological samples including fecal, amniotic, salivary, and meconium specimens. His research examines how diet, antibiotics, and environmental exposures modulate BEV composition and function, employing multi-omics, network analysis, and machine learning to identify microbial biomarkers for precision interventions in maternal and child health. Primary research domains span Microbiome, Extracellular Vesicles, Mycobiome, Machine Learning, Bacteriome, and Maternal and Child Health, with emphasis on clinical translation and preventive strategies. Dr. Mysore leads investigations within the Pediatric-Fetal Health and Microbes (PEHMIS) research group, focusing on early-life microbial exposures and host physiology. His cross-disciplinary approach integrates Medicine and Health Sciences, Fungi biology, and computational innovations to address maternal-fetal health challenges through multidisciplinary collaboration.

• Nutritional Epidemiology
• Cancer Prevention
• Cardiometabolic Diseases
• +۳ مورد دیگر

Dr. Cordova R. is a researcher at the German Cancer Research Center (DKFZ) , focusing on nutritional epidemiology and cancer risk factors with a particular interest in the interplay between cardiometabolic diseases , body weight dynamics , and chronic disease outcomes . Their work spans large-scale multinational cohort studies including the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank . Research interests include: Role of ultra-processed foods in weight gain and obesity Impact of advanced glycation endproducts (AGEs) on cancer risk Genetic and environmental predictors of adiposity gain Association between socioeconomic position and multimorbidity Dietary patterns and CRC molecular pathways Recent publications analyze: Dicarbonyl compounds and weight regulation Stress-induced glucocorticoids and inflammation PLAG1 fusions in CNS tumors Labs/Tasks: EPIC cohort analysis Physical Activity, Nutrition, Alcohol, Cessation of smoking (PANACEA) study International cancer epidemiology collaborations

Kerstin Skovgaardمشاهده پروفایل

عضو هیئت علمی

• Antiviral Immunology
• Zoonotic Influenza
• Translational Research
• +۹ مورد دیگر

Kerstin Skovgaard is a Senior Researcher at the Department of Biotechnology and Biomedicine , Technical University of Denmark . Her work focuses on antiviral immunology with emphasis on zoonotic influenza viruses and metabolic syndrome's impact on infection severity . She develops translational animal models for innate immune research in respiratory infections and post-traumatic conditions . Research Interests Antiviral Immunology of influenza A viruses and PEDV Metabolic Syndrome and obesity-related immunity Translational models for respiratory diseases and gut-brain axis miRNA profiling in equine osteoarthritis and porcine infections Immunomodulatory diets with algae and probiotics Biomarker discovery through proteomics and RT-qPCR Scientific Contributions include 202+ publications across influenza , gut immunity , and joint inflammation . Her recent 15 articles demonstrate expertise in porcine models for human diseases , with emphasis on innate immune responses , miRNA dynamics , and metabolic-immune interactions . Supervision includes PhD students : J. Pina Agullet B. L. Henriksen C. J. M. Polhaus H. A. Laybourn C. López-Figueroa Methodologies encompass microfluidic qPCR , RNA-Seq , and advanced in vitro systems . Her research supports UN Sustainable Development Goals through cost-efficient diagnostics and therapeutic development .

Michael Dahabiehمشاهده پروفایل

پژوهشگر ارشد

• Cancer Biology
• Metabolic Research
• Molecular Biology
• +۳ مورد دیگر

Dr. Michael Dahabieh is a Postdoctoral Fellow in the Russell Jones Laboratory , where he continues exploring intersections between cancer biology and metabolic research. He earned his Ph.D. in experimental medicine from McGill University and holds M.Sc. and B.Sc. degrees in molecular biology and biochemistry from Simon Fraser University . Education Ph.D., McGill University (experimental medicine) M.Sc., Simon Fraser University (molecular biology and biochemistry) B.Sc., Simon Fraser University (molecular biology and biochemistry) His research focuses on peroxisomes in tumor proliferation , CD8+ T cell metabolism , and nutrient-driven immune responses . His work employs techniques like immunoprecipitation , immunofluorescence , and flow cytometry to dissect metabolic pathways in cancer and immune cells. Recent publications highlight his contributions to understanding CD8+ T cell exhaustion , nutrient utilization , and metabolic reprogramming in tumor environments. His studies on glucose-dependent glycosphingolipid biosynthesis , histone acetylation , and MAPK-targeted therapies reveal novel mechanisms in immune and cancer metabolism.

• Computational chemistry
• Molecular modeling
• Drug discovery
• +۵ مورد دیگر

Marcus Weber serves as Head of the Computational Molecular Design research group within the Modeling and Simulation of Complex Processes department at the Zuse Institute Berlin (ZIB), which operates in close affiliation with Freie Universität Berlin. His interdisciplinary work spans computational mathematics, molecular modeling, drug discovery, and unexpected connections to Egyptology, demonstrating the broad applicability of mathematical approaches across diverse scientific domains. Dr. Weber's research interests focus on the mathematical foundations of molecular simulation and drug design: Developing advanced Markov state models for complex molecular systems Creating computational methods for efficient drug discovery Applying machine learning techniques to molecular dynamics Modeling pH-dependent receptor-ligand interactions Exploring metastable dynamics in biological systems Bridging mathematical approaches with Egyptological research His recent publications reveal a sophisticated integration of computational mathematics with practical pharmaceutical applications, particularly in opioid receptor research. The work demonstrates how mathematical modeling can identify pH-dependent drug candidates that maintain efficacy while reducing side effects. His research group has developed innovative algorithms like ISOKANN for learning Koopman eigenfunctions and has made significant contributions to understanding molecular transition rates and metastable dynamics. Dr. Weber leads multiple significant research projects including 'Drug Candidates as Pareto Optima in Chemical Space,' 'HPC and ML for Drug Discovery,' and interdisciplinary collaborations connecting mathematical approaches with Egyptology. His work on 'Mathematics and Egyptology' and 'Ancient Egyptian' demonstrates the unexpected breadth of mathematical applications. His research has direct implications for developing safer opioid medications and understanding molecular behavior in complex environments.