جستجوی استاد راهنمای دانشگاهی

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.

Rafet Al-Tobaseiمشاهده پروفایل

دانشیار

• Bioinformatics
• Aquaculture Genetics
• RNA Sequencing
• +۵ مورد دیگر

Dr. Rafet Al-Tobasei serves as an Associate Professor in the Department of Computer Science at Middle Tennessee State University (MTSU), where he applies computational methodologies to solve complex biological problems in aquaculture species. His research bridges computer science and genomics to address critical challenges in fisheries science and genetic improvement programs. His academic credentials include: Ph.D. in Computer Science, Middle Tennessee State University (2017) M.A. in Computer Science, Middle Tennessee State University (2011) M.S. in Computer Science, Middle Tennessee State University (2011) B.S. in Computer Science, Tennessee State University (2007) Dr. Al-Tobasei's research program focuses on developing and implementing bioinformatics tools for aquaculture genomics, with particular emphasis on rainbow trout and Nile tilapia. His expertise spans RNA sequencing analysis, Genome-Wide Association Studies (GWAS), Single Nucleotide Polymorphism (SNP) discovery, Long non-coding RNA (lncRNA) characterization, DNA methylation profiling, and Chromatin Immunoprecipitation Sequencing (ChIP-Seq) data interpretation. He investigates molecular mechanisms underlying economically important traits including muscle growth, fillet quality, disease resistance, and stress response. Analysis of his publication record reveals consistent thematic progression in aquaculture genomics: early work established foundational genomic resources for rainbow trout, followed by sophisticated GWAS applications for trait mapping, and recent integration of multi-omics approaches (transcriptomics, epigenomics, and lipidomics). His research increasingly emphasizes practical breeding applications, with significant contributions to genomic selection methodologies using reduced-density SNP panels and advanced statistical models. While specific awards and grants aren't documented in the source material, his extensive publication record in high-impact journals like BMC Genomics and Scientific Reports demonstrates substantial scholarly impact. His collaborative network spans multiple institutions and includes frequent co-authorship with leading aquaculture geneticists, indicating active participation in the research community and likely involvement in mentoring graduate students through research projects.

Nishant K. Tمشاهده پروفایل

استاد

• Genome Stability
• Meiotic Recombination
• Mitotic Genome Stability
• +۳ مورد دیگر

Nishant K.T is a Professor in the School of Biology at the Indian Institute of Science Education and Research (IISER) Thiruvananthapuram, where he has served as Professor since 2022, Associate Professor from 2017-2022, and Assistant Professor from 2011-2017. He also served as Head of the School of Biology from 2017-2021. Prior to joining IISER-TVM, he was a Research Associate and Postdoctoral Fellow at Cornell University, USA (2005-2010). Ph.D from Dept. of Biochemistry, Indian Institute of Science, Bangalore (2005) M.S in Biological Sciences from Indian Institute of Science, Bangalore (2000) B.Sc(H) in Biochemistry from Sri Venkateswara College, Delhi University (1997) Dr. Nishant's research focuses on mechanisms that maintain genome stability using baker's yeast Saccharomyces cerevisiae as a model system. His laboratory investigates two key areas: mechanisms of meiotic recombination, with emphasis on meiotic crossover pathways and their role in promoting accurate chromosome segregation during meiosis (errors linked to congenital birth defects like Down syndrome); and mechanisms of mitotic genome stability, studying processes contributing to mutagenesis, loss of heterozygosity and aneuploidy using high-throughput genomic technologies, classical genetics and molecular biology approaches. His work has significant implications for understanding disease progression (e.g., cancer), genome evolution and architecture. Analysis of Dr. Nishant's recent publications (2017-2025) reveals a consistent focus on yeast genetics and genome stability, with particular emphasis on meiotic recombination mechanisms, chromosome segregation, and DNA repair pathways. His work often employs high-throughput genomic approaches to study loss of heterozygosity, crossover formation, and chromosome dynamics in both meiotic and mitotic contexts. The research spans fundamental mechanisms with implications for human health conditions including cancer and congenital disorders. Scientific Awards and Editorial Positions Wellcome Trust-DBT Intermediate Fellow (2012-2017) Editorial board member of the journal YEAST (2021-present) Guest Editor for a special issue of the journal YEAST (2020) Editorial board member for Journal of Genetics (2018-present) Visiting Professor, Osaka University (2018) Visiting scientist, Osaka University, DST-JSPS exploratory exchange (2014) Best Poster awards at Society of Biological Chemists (India) meetings (2001, 2003) CSIR Research Fellowships (Junior 2001-2002, Senior 2002-2004) Dr. Nishant has mentored numerous students through IISER-TVM's PhD and Integrated PhD programs, with several alumni now holding independent research positions. His laboratory (GSL Lab) maintains an active research program with current PhD students working on bioinformatics, yeast genetics, and chromosome stability projects. He has co-organized multiple International Chromosome Stability meetings at various locations in India (Trivandrum 2012, 2016, 2022; Bangalore 2014, 2018, 2024), demonstrating leadership in the field. The GSL Lab operates as a dynamic research team using Saccharomyces cerevisiae as a model system, combining high-throughput genomic technologies with classical genetics and molecular biology approaches. Current lab members include PhD students, postdoctoral researchers, and undergraduate students working collaboratively on projects related to genome stability mechanisms.

• genetic association studies
• single-nucleotide polymorphisms (SNPs)
• gene-environment interactions
• +۳ مورد دیگر

James Engert is an Associate Professor at McGill University 's Faculty of Medicine and Health Sciences , with dual appointments at the McGill University Health Centre ( Division of Cardiology ) and as a Scientist in the Cardiovascular Health Across the Lifespan Program at the Research Institute of the MUHC . His work bridges cardiovascular genetics, epidemiology, and translational medicine. Research Interests: Genetic etiology of cardiovascular diseases (myocardial infarction, dilated cardiomyopathy, aortic stenosis) Gene-environment interactions in disease susceptibility Mendelian randomization and genome-wide association studies (GWAS) Pharmacogenomics of cardiovascular therapies Development of genetic risk scores for prognosis Methodologies: Engert's team integrates clinical data from MUHC patients with large-scale public datasets, focusing on aortic stenosis across diverse ethnicities. They employ advanced statistical genetics, proteomics, and molecular modeling to uncover novel therapeutic targets. Publications: His recent work appears in JAMA Cardiology and Circulation , with a focus on lipoprotein(a) metabolism, TLR3-mediated calcification, and MFSD5 inhibition mechanisms in valvular disease. Collaborative projects emphasize cross-disciplinary approaches to cardiovascular pathogenesis.

• Immunology
• Genetics
• Molecular Biology
• +۳ مورد دیگر

Olga Martinez is a Senior Lecturer in the Department of Pathology & Laboratory Medicine at the University of Western Australia (UWA), affiliated with the UWA Medical School. Her research focuses on immunogenetics, molecular biology, and transplantation medicine, contributing to UN Sustainable Development Goals. She specializes in HLA genotyping, genetic variation analysis, and diagnostic assays for transplant compatibility. Dr. Martinez has collaborated internationally on projects involving HLA haplotypes and SNP analysis. She has supervised two academic works and published extensively in peer-reviewed journals like HLA . Her research addresses challenges in high-resolution genotyping and clinical applications of immunological assays. Expertise: Allele analysis, Major Histocompatibility Complex, HLA typing, genetic diagnostics Key Collaborations: 18th International HLA and Immunogenetics Workshop Her work emphasizes translational research, bridging genetic analysis with clinical transplantation outcomes. Recent studies include validation of nanopore sequencing for HLA genotyping and C3d-binding assays for sensitized transplant recipients.

Yildiz Yilmazمشاهده پروفایل

دانشیار

• Survival Analysis
• Statistical Genetics
• Genetic Epidemiology
• +۴ مورد دیگر

Yildiz Yilmaz serves as Associate Professor of Statistics and Deputy Head of Statistics at Memorial University of Newfoundland's Department of Mathematics and Statistics within the Faculty of Science. Holding a PhD from the University of Waterloo, she maintains an active research program at the intersection of statistical methodology and biomedical applications. Education PhD in Statistics, University of Waterloo (2009) MSc in Statistics, Middle East Technical University (2004) MSc in Computer Engineering, Middle East Technical University (2004) BSc in Statistics with minor in Computer Engineering, Middle East Technical University (2002) Her research focuses on developing advanced statistical methods for survival analysis, genetic epidemiology, and causal inference. Key programs include: (1) novel methods for genome-wide prognosis studies of time-to-event phenotypes, (2) genetic association methods using joint/directional models of multiple phenotypes, (3) evaluation of response-dependent sampling designs, and (4) models for multivariate survival times. Her work addresses critical challenges in biomedical research through innovative statistical theory. Recent publications demonstrate consistent focus on colorectal cancer genomics, statistical genetics methodology, and survival analysis applications. Trends show increasing emphasis on multi-phenotype analysis, SNP interaction networks, and time-varying effects in genetic association studies, with significant contributions to copula-based joint modeling approaches. Research Support Natural Sciences and Engineering Research Council (NSERC) Canadian Statistical Sciences Institute (CANSSI) Faculty of Medicine, Memorial University Research and Development Corporation (RDC) of Newfoundland and Labrador Dr. Yilmaz actively mentors students across multiple programs including PhD, MSc, MAS, and undergraduate levels. Her current research group comprises seven students working on statistical genetics and survival analysis projects, building on a track record of successfully supervising numerous graduate students and post-doctoral fellows since 2013.

Dennis Ravenمشاهده پروفایل

پژوهشگر

• Sociology
• Psychiatry
• Genetics
• +۳ مورد دیگر

Dr. Dennis Raven is a Researcher and Scientific Coordinator at the Faculty of Medical Sciences, University of Groningen. He serves as the TRAILS Data Manager and focuses on interdisciplinary research in psychiatry, sociology, and genetics. His work addresses adolescent mental health, genetic factors influencing health outcomes, and healthcare decision-making. Key research interests include genome-wide association studies, mental health treatment delays, and the genetic basis of complex traits like obesity and height. His team collaborates globally on projects such as the TRAILS cohort and the SUGAR-MGH initiative. Raven has received the 2017 EPA Research Prize for his work on delayed mental healthcare seeking in adolescents. His publications span journals like Nature and Diabetologia , addressing topics from metabolic genetics to clinical decision aids for depression. Awards: 2017 EPA Research Prize Roles: RoQua Scientific Coordinator, TRAILS Data Manager

• Respiratory Medicine
• Pneumology
• Oncology
• +۱۷ مورد دیگر

Jan Siwiec, MD, PhD, is an Assistant Professor and Chair of the Department of Pneumology, Oncology and Allergology at the Faculty of Medicine, Medical University of Lublin. His academic and clinical work centers on respiratory diseases, with a strong focus on asthma, occupational lung disorders, lung cancer, and immunological mechanisms involving interleukin-18 and TH1 cell responses. Institution: Medical University of Lublin School: Faculty of Medicine Department: Department of Pneumology, Oncology and Allergology Position: Assistant Professor and Department Chair Dr. Siwiec’s research spans immunology, genetics, occupational health, and clinical pulmonology. His work investigates how genetic polymorphisms (especially in IL-18), environmental exposures (such as wood and organic dust), and occupational settings influence respiratory disease development and progression. He has contributed significantly to understanding asthma in both general and occupational contexts, lung cancer risk among exposed workers, and immune responses in chronic respiratory conditions. The 15 most recent publications reflect a consistent focus on respiratory health, with strong emphasis on occupational exposures, genetic susceptibility, and inflammatory pathways. Research trends show integration of molecular biology with epidemiological and clinical data, particularly in Polish populations. Key themes include biomarker discovery (e.g., IL-18), public health implications of workplace hazards, and the interplay between infection, immunity, and chronic airway disease. While no formal scientific awards are listed in the provided text, Dr. Siwiec has one recorded achievement and maintains an active research profile with 48 documented publications. His work likely involves collaboration across clinical, research, and public health domains. Dr. Siwiec advises or mentors graduate students in medical and scientific research, though specific names are not listed. His department likely functions as a research and teaching hub within the Faculty of Medicine, engaging in multicenter studies and contributing to national data on respiratory diseases. Research may be supported by institutional or national grants, particularly in occupational health and respiratory epidemiology. The Department of Pneumology, Oncology and Allergology serves as the primary research and clinical team under his leadership, focusing on patient care, education, and investigation into lung diseases. The team appears to collaborate on multi-center projects, especially those involving occupational exposure, genetic studies, and pandemic-related respiratory impacts.

• Genetics
• Molecular Biology
• Bioinformatics
• +۴ مورد دیگر

Sevinç AKÇAY is a Lecturer at the Department of Molecular Biology and Genetics in the Faculty of Arts and Sciences at Kırşehir Ahi Evran University , Turkey. She holds a PhD (2016) and MSc (2012) in Molecular Biology from the University of Pittsburgh , and a BSc (2008) in Biology from Ankara University . Research Focus: Genetics, Molecular Biology, and Bioinformatics, with emphasis on elastin gene mutations , cancer genomics , and computational disease modeling . Key Projects: Investigated Tiochlorosid and Malathion effects on cancer cell lines; led studies on epigenetic mechanisms and ferroptosis in cancer . Teaching: Offers courses in Genetic Engineering , Epigenetics , and CRISPR Technologies at both undergraduate and graduate levels. Collaborations: Works with international researchers like Zsolt Urban (University of Pittsburgh) and Emine Güven (Düzce University) on computational biology and genetic disorders.

• Cell and Molecular Biology
• Life Sciences
• Innate Immune Signaling
• +۵ مورد دیگر

Clett Erridge is a Senior Lecturer in Immunology at Anglia Ruskin University (ARU), affiliated with the Medical Technology Research Centre, School of Life Sciences, and Faculty of Science and Engineering. His research focuses on molecular mechanisms linking inflammation to lipid metabolism, particularly in coronary artery disease, and novel approaches to enhance macrophage phagocytosis of tumor cells. He holds a BSc (Molecular Biology, 1997) and PhD (Molecular Immunology, 2003) from the University of Edinburgh. Postdoctoral research at Strathclyde and Leicester Universities explored oxidised lipids' impact on innate immunity and lipid metabolism. Current work addresses innate immune signaling in metabolic disease and cancer immunotherapy. Research interests include: mechanisms connecting pattern-recognition receptors to lipid metabolism; microbiota-derived regulators of immunity; and therapeutic strategies to boost macrophage-mediated tumor cell clearance. He supervises PhD students in macrophage lipid metabolism, atherosclerosis, and cancer immunotherapy drug development. Teaching responsibilities include MSc Laboratory Techniques module leadership, and contributions to courses like Clinical Immunology and Metabolism and its Control. Major grants include a £123,000 Oncobiopharm-sponsored study (2018-19) on therapeutic antibodies targeting annexin pathways, and a £54,000 Iraq-funded PhD studentship (2013-2016) on diet's role in atherosclerosis. Over £1M in research funding secured across 12 grants since 2003. Awarded Fellow of the Higher Education Academy and serves as Associate Editor for Frontiers in Immunology . Active in professional societies including the British Atherosclerosis Society and British Society for Cardiovascular Research. Key publications from 2003-2020 explore TLR signaling in atherosclerosis, dietary endotoxins' inflammatory effects, and macrophage foam cell formation mechanisms. Media engagements include BBC Radio Cambridgeshire and Medicalresearch.com interviews.

Nguyen Hong Nguyenمشاهده پروفایل

مدرس ارشد

• Aquaculture Genetics
• Genetics and Genomics
• Genetic Epidemiology
• +۹ مورد دیگر

Dr. Nguyen Hong Nguyen is a Senior Lecturer in Genetics at the School of Science, Technology and Engineering, University of the Sunshine Coast (UniSC). He serves as a Deputy Honours Coordinator and a member of the Centre for Bioinnovation. With a PhD from Queensland, he holds Higher Education Academy (HEA) Fellow status and has been recognized for his research in aquaculture genetics by SciVal’s Distinctive Competency classification. His teaching responsibilities include coordinating Genetics and Advanced Genetics courses, reflecting his commitment to education and pedagogical development. Nguyen’s research focuses on genetic improvement programs for aquaculture species, particularly disease resistance in striped catfish, shrimp, and yellowtail kingfish. He has contributed to breakthroughs in understanding genotype-environment interactions, epigenetic inheritance, and the application of omics technologies. As an Associate Editor for five international journals—including Frontiers in Genetics and BMC Genetics —he actively shapes scholarly discourse in his field. He reviews for over 30 journals, such as Nature Reviews Genetics . His grants include AU$5 million from the Australian Research Council for rock lobster culture systems (2014–2019) and AU$7 million from ACIAR for giant grouper aquaculture (2013–2019). Collaborative projects with industry partners like Seafood CRC and FRDC aim to enhance genetic planning for species like kingfish. Nguyen has supervised HDR students such as Khang V Pham, Vu Nguyen, and Trang Trinh Thi, advancing applied research in aquaculture challenges. Future work emphasizes integrating multi-omic data and precision farming systems to improve disease resistance and sustainability in marine finfish and crustaceans. His interdisciplinary approach bridges genetics, genomics, and environmental science, addressing global food production demands.

Charles Guمشاهده پروفایل

دانشیار

• Genetic Epidemiology
• Statistical Genetics
• Machine Learning in Biomedical Data
• +۵ مورد دیگر

Charles Gu is an Associate Professor of Biostatistics and Genetics at Washington University in St. Louis, affiliated with the Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS), the Institute for Informatics, and the Center for Biostatistics and Data Science (CBDS). His research focuses on genetic epidemiology and statistical genetics, particularly in developing computational methods for analyzing high-dimensional genetic data and studying gene-environment interactions in complex diseases like hypertension, cardiovascular disorders, and metabolic syndromes. Key affiliations include the DBBS programs in Biomedical Informatics, Computational and Systems Biology, and Human and Statistical Genetics. He mentors PhD/MSTP students and collaborates internationally on large-scale genomic studies. Recent work includes studies on clonal hematopoiesis, lipid metabolism, and blood pressure prediction using machine learning. His 164+ publications span genetic association studies, epigenetic research, and multi-omics approaches, with a focus on translating statistical methods to clinical insights. Notable projects involve genomic analyses of atrial fibrillation, coagulation factors, and the impact of lifestyle on genetic traits.

Hanbin Maoمشاهده پروفایل

استاد

• Mechanoanalytical Chemistry
• Single-Molecule Biophysics
• Analytical Chemistry
• +۹ مورد دیگر

Dr. Hanbin Mao is a Professor in the Department of Chemistry & Biochemistry at Kent State University. His research bridges analytical chemistry and single-molecule biophysics, pioneering the field of mechanoanalytical chemistry through innovative techniques like lab-on-a-chip, laser tweezers, and magnetic tweezers. Mechanoanalytical Chemistry Single-Molecule Biophysics Biosensor Development His lab developed the Single-Molecule Mechanochemical Sensing (SMMS) method, which detects trace biomarkers and environmental toxins with high sensitivity. Collaborative projects with materials and biosciences groups highlight the interdisciplinary nature of his work. Key Scientific Awards Top 2% Most-Cited Scientists Worldwide (Stanford University, 2023) Excellence in Graduate Research Mentorship Award (2023) Dr. Mao mentors numerous graduate students and has trained over 25 alumni. His lab fosters global collaboration and integrates advanced technologies to transform traditional chemical and biological research approaches.

• Genetics
• Molecular Biology
• Nephrology
• +۳ مورد دیگر

Maria Rasmussen is a Clinical Associate Professor at the Department of Regional Health Research , affiliated with the Faculty of Health Sciences at the University of Southern Denmark and the Research Unit of Human Genetics (Vejle) at Lillebælt Hospital. Her research focuses on genetic and molecular mechanisms underlying kidney diseases and metabolic disorders. Key Research Areas: Genetics, Medical Genetics, Nephrology, Genomics, Molecular Biology, Hypophosphatasia PhD Supervision: Supervised Granhøj, J.'s project on monogenic causes of hypertensive nephropathy and genetic tubulopathies Recent publications include studies on MUC1-associated kidney disease, Liddle syndrome phenotypes, and NADSYN1 deficiency, with emphasis on genomic disorders and clinical correlations. Her work has been cited in nephrology and genetics journals, with open-access availability for multiple studies.

• Breast Cancer Research
• Pharmacology
• Biomedical Analysis
• +۳ مورد دیگر

Patricia Kelly is a researcher at the Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde. Her work focuses on breast cancer research, patient-centered medicine, and genetic analysis. She contributes to UN Sustainable Development Goals related to health and well-being through her research activities. Education: Doctor of Philosophy Her research interests include analyzing patient experiences through storytelling, genetic markers in breast cancer subtypes, and leveraging biobank data for medical insights. Collaborations span interdisciplinary teams involving clinicians, scientists, and patient advocates. She actively engages in public involvement initiatives to enhance healthcare narratives. Her recent publications explore patient storytelling methodologies and SNP associations in breast cancer subtypes. She has participated in media outreach to disseminate research findings, reaching 3 news outlets and engaging 28 Mendeley readers.