جست‌وجوی استاد و پژوهشگر

Alberto Canoمشاهده پروفایل

دانشیار

• Machine Learning
• Big Data
• Data Streams
• +۷ مورد دیگر

Alberto Cano is the Associate Vice President for Research Computing and an Associate Professor in the Department of Computer Science at Virginia Tech. He leads the Advanced Research Computing unit, focusing on high-performance computing, machine learning, and data stream analysis. He holds a Ph.D. (2014) and multiple master's degrees from Spanish universities, including the University of Granada and University of Córdoba. His research spans machine learning applications in cybersecurity, healthcare, and smart cities, with a focus on imbalanced data streams and GPU-accelerated algorithms. Key research areas include concept drift adaptation, distributed computing systems, and scalable machine learning. He has secured over $3 million in grants, including NSF funding for GPU infrastructure and educational initiatives. Cano has authored 100+ peer-reviewed publications and serves as an editor for journals like Information Fusion and Applied Intelligence. He teaches courses on high-performance computing and databases at Virginia Tech. His work addresses challenges in real-time data processing, including fraud detection in 3D printing, health monitoring systems, and anomaly detection in smart transportation. Cano actively contributes to international conferences through tutorials on data stream mining and lifelong learning systems.

Dragan Bosnackiمشاهده پروفایل

استادیار

• Machine Learning
• Bioinformatics
• Computational Biology
• +۶ مورد دیگر

Dragan Bosnacki is an Assistant Professor at Eindhoven University of Technology (TU/e), holding joint appointments in the departments of Biomedical Engineering and Mathematics and Computer Science. He specializes in interdisciplinary research at the intersection of computer science and biomedicine, with a focus on machine learning, bioinformatics, and computational modeling of medical therapies. His work combines formal verification techniques, GPU-accelerated algorithms, and biomedical applications such as High Intensity Focused Ultrasound (HIFU) therapy modeling. Dr. Bosnacki earned his BSc in Electrical Engineering and MSc in Computer Science from Sts. Cyril and Methodius University (Macedonia), followed by a PhD in Mathematics and Computer Science at TU/e under Professors Jos Baeten and Dennis Dams. He has pioneered advancements in parallel model checking and contributed significantly to the SPIN model checking tool. His research also spans separation logic, biomedical data analytics, and the application of mathematical methods to biological systems. Education: BSc in Electrical Engineering, Sts. Cyril and Methodius University (Macedonia) MSc in Computer Science, Sts. Cyril and Methodius University (Macedonia) PhD in Mathematics and Computer Science, TU/e (2001) Research Interests: Mechanisms of machine learning for biomedical data Formal verification of hardware/software systems GPU-optimized algorithms for computational biology Mathematical modeling of HIFU cancer therapies Reconstruction of biological networks and drug response modeling Teaching: Advanced programming and biomedical data analysis Simulation of biochemical systems Programming for data analytics Capita selecta in bioinformatics Thermodynamics & chemical kinetics Key Contributions: Co-developed GPU-based model checking tools (e.g., GPUexplore) Improved partial-order and symmetry reduction techniques Contributions to the SPIN model checker and VeriFast tool Advising: Supervised 37 academic works, focusing on interdisciplinary projects in computational biology and formal methods.

• Evolutionary Genetics
• Molecular Evolution
• Mutation Rate Analysis
• +۷ مورد دیگر

Professor Adam Eyre-Walker is a distinguished evolutionary geneticist at the University of Sussex's School of Life Sciences. His academic rank is Professor of Evolutionary Genetics (Ecology and Evolution), and he has been affiliated with the university since 1997 as a Royal Society University Research Fellow. His research focuses on mutation rates, molecular evolution, and the interplay between natural selection and genetic drift. Notably, he has contributed groundbreaking work on the distribution of fitness effects of mutations, the rate of adaptive evolution, and mitochondrial genetics. Eyre-Walker holds a PhD from the University of Edinburgh (1992) and completed postdoctoral research at Rutgers University. His accolades include the Genetics Society’s Balfour Prize (2002), the European Society of Evolutionary Biology President’s Prize (2012), and election as a Fellow of the Royal Society (2020). He currently leads a research group with two PhD students (Lillith Zijmers and Loveday Lewin) and one postdoc (Ying Chen Eyre-Walker). His research interests span adaptive evolution, deleterious mutations, variation in mutation rates, base composition evolution, and the sociology of science. He has published over 193 peer-reviewed articles, including influential studies on mutation rate dynamics, mitochondrial diversity, and transposable element evolution. Eyre-Walker also serves as Editor-in-Chief of Genome Biology and Evolution and has secured grants from the BBSRC, European Union, and Swiss National Science Foundation, focusing on topics like bacterial evolution and genomic analysis methods. His work bridges theoretical and empirical approaches, addressing fundamental questions in evolutionary biology, such as the balance between adaptive and neutral evolution and the implications of mutation load in humans. The Eyre-Walker Lab collaborates widely, emphasizing interdisciplinary approaches to understanding genetic mechanisms and their evolutionary consequences.

Christian Skalkaمشاهده پروفایل

استاد

• Programming Languages
• Cybersecurity
• Computational Methods in Environmental Science
• +۴ مورد دیگر

Christian Skalka is a Professor and Chair in the Department of Computer Science at the University of Vermont (UVM), part of the College of Engineering and Mathematical Sciences. He joined UVM in 2002 and holds a Ph.D. from Johns Hopkins University, an M.S. from Carnegie Mellon University, and a B.S. from Saint John's College. His research focuses on programming languages, cybersecurity, and computational methods in environmental science. He teaches courses such as Programming Languages, Computer Networks, and Mobile Apps & Embedded Devices. Skalka’s work spans secure multi-party computation, intrusion detection using deep learning, and healthcare systems integration. Notable contributions include developing SMT-boosted security types for MPC, frameworks for secure network code verification, and cyber-physical systems for rehabilitation monitoring. His research often bridges theory and practice, with applications in healthcare, environmental science, and distributed systems. Publications highlight interdisciplinary collaboration, including work on federated learning privacy, snowpack modeling via machine learning, and audit logging formalization. His projects emphasize practical security solutions for real-world challenges in healthcare, environmental monitoring, and networked systems.

• Molecular Biology
• RNA Biology
• Gene Expression Regulation
• +۳ مورد دیگر

Maria Alexandra Marques Moreira is an active Principal Investigator at the Abel Salazar Institute of Biomedical Sciences (ICBAS) of the University of Porto. She teaches Molecular Genetics for Veterinary Medicine and RNA Biology for Molecular Biology Complements. Moreira serves on the Scientific Council of the Molecular and Cellular Biology Doctoral Program and leads the Gene Regulation research group at IBMC/i3S since 2013. PhD in Molecular Biology from the University of Oxford, UK Degree in Biochemistry from the Faculty of Sciences, University of Lisbon Her research focuses on mRNA biology and gene expression regulation, particularly alternative pre-mRNA splicing and 3'UTR dynamics in health and disease. The group employs molecular and cellular biology methodologies to study physiologically relevant splicing events. Analysis of her 15 most recent publications reveals expertise in alternative polyadenylation , 3'UTR sequence regulation , gene expression in immune cells , and RNA biology in developmental and disease contexts . The work spans molecular mechanisms from Drosophila to human models, including applications in rheumatoid arthritis and colorectal cancer . Moreira has supervised multiple undergraduate, master's, and doctoral students, and over 40 international/national doctoral theses as an external reviewer. Her laboratory at IBMC/i3S actively engages students in experimental work. She has published extensively in peer-reviewed journals (1,900+ citations), holds patents in molecular biology, and contributes to book chapters. Her roles include coordinating continuing education courses on Advanced Light Microscopy and Global Climate Change impacts on immunity .

• Cardiac Extracellular Matrix (ECM)
• Aging and Cardiac Function
• Molecular Biology
• +۳ مورد دیگر

Dr. Charlotte Edling is a Researcher in Molecular Biology at the University of Surrey's School of Veterinary Medicine. Her work focuses on cardiac extracellular matrix (ECM) dynamics, aging-related cardiac changes, and molecular mechanisms underlying cardiovascular diseases. She investigates how ECM composition shifts with age and contributes to arrhythmias, particularly in atrial tissues. Dr. Edling also explores biomarkers for coronary artery disease and employs proteomics to study genetic deficiencies affecting cardiac electrophysiology. Her research integrates murine models, in-silico predictions, and comparative cardiology to understand arrhythmia pathogenesis. Key themes include age-related collagen degradation, SCN5A mutation effects, and PGC-1α deficiency impacts on ventricular function. Collaborations with veterinary medicine and neurology highlight her interdisciplinary approach to cardiovascular and neurodegenerative disease intersections. Dr. Edling's publications span 20 years, emphasizing translational research in cardiac electrophysiology, miRNA biomarkers, and mitochondrial dysfunction. Her work bridges fundamental science with clinical applications, addressing arrhythmia mechanisms in aging and genetic disorders.

Lauren Cowleyمشاهده پروفایل

مدرس ارشد

• Bioinformatics
• Genomics
• Whole Genome Sequencing
• +۴ مورد دیگر

Lauren Cowley is a Senior Lecturer in the Department of Life Sciences at the University of Bath, affiliated with the Milner Centre for Evolution and the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa). Her research focuses on mitigating public health challenges in infectious diseases through bioinformatics and genomic technologies. She has pioneered the use of whole genome sequencing for bacterial surveillance, notably during the UK's gastrointestinal bacteria monitoring and the Ebola epidemic in Guinea. Her work emphasizes improving bacterial GWAS techniques and machine learning models for antibiotic/phage resistance classification. Key research interests include genomic epidemiology, antimicrobial resistance mechanisms, and the application of portable sequencing technologies. Cowley leads four major projects funded by bodies like the Biotechnology and Biological Sciences Research Council (BBSRC), exploring topics such as convergent evolution in Enterobacteriaceae and machine learning for bacterial isolate typing. She has contributed to over 30 peer-reviewed publications, with recent work focusing on Shigella sonnei evolution, Salmonella source attribution, and rapid genomic analysis methods. Her academic roles include supervising doctoral students and advising the UK’s Public Health efforts. Notable contributions include developing the GWarrange pipeline for genome-wide association studies and the use of hierarchical machine learning for rapid pathogen identification. Cowley’s work aligns with UN Sustainable Development Goals targeting good health and well-being (SDG 3).

Oliver Rackhamمشاهده پروفایل

استاد مدعو

• Synthetic biology
• Mitochondrial biogenesis
• Gene editing
• +۳ مورد دیگر

Oliver Rackham is an Adjunct Professor affiliated with the University of Western Australia (UWA) Medical School and UWA Centre for Medical Research, collaborating with the Harry Perkins Institute of Medical Research. He holds a PhD and BSc(Hons) in Biochemistry from the University of Otago, New Zealand. His expertise spans synthetic biology, mitochondrial biogenesis, and gene editing technologies. Rackham leads research funded by ARC, Cancer Council WA, and NHMRC, focusing on mitochondrial translation mechanisms and RNA-protein interactions. Research Interests: His work addresses fundamental biological processes including mitochondrial protein synthesis, ribosome function, and CRISPR-based gene editing. He pioneers innovations in base editing and synthetic biology applications, contributing to cancer research and biotechnological advancements. Awards: He received the Marshall Medal and was inducted into the European Inventor Hall of Fame. Rackham has secured over 21 grants, including major equipment grants for cutting-edge genomic research. He co-leads projects exploring non-coding RNAs in cancer and mitochondrial transcriptome dynamics. Collaborations: Active in international research networks, Rackham collaborates with institutions like the MRC Laboratory of Molecular Biology (UK) and Curtin University. He is a founding member of Synthetic Biology Australasia and previously served as its President.

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

Dr. Stella Tommasi is an Associate Professor of Research in the Department of Population and Public Health Sciences at the University of Southern California (USC). She is a Full Member of the USC Norris Comprehensive Cancer Center , Genomic and Epigenomic Regulation Program. Her research focuses on molecular mechanisms of cancer and chronic diseases , particularly how lifestyle and environmental exposures (e.g., tobacco, vaping, air pollutants) alter genome and epigenome . Dr. Tommasi’s work leverages Seq-based omics technologies Bioinformatics tools Molecular biology assays to study the role of tobacco toxicants and environmental pollutants in cancer and nonalcoholic fatty liver disease (NAFLD) . Her recent publications highlight epigenomic dysregulation in youth vapers, DNA damage from vaping parameters, and oxidative stress in disease progression. Her research emphasizes the interplay between genetic , epigenetic , and environmental factors to unravel disease complexity, with implications for prevention , early detection , and monitoring strategies . Key themes include mitochondrial dysfunction , inflammation , and transcriptional deregulation in tobacco and pollutant exposure models.

Robert C. Froemkeمشاهده پروفایل

استاد

• Synaptic Plasticity
• Auditory Perception
• Maternal Behavior
• +۶ مورد دیگر

Robert C. Froemke is a Professor at the NYU Grossman School of Medicine, holding dual appointments in the Department of Otolaryngology-Head and Neck Surgery and the Department of Neuroscience. He is also the Skirball Foundation Professor of Genetics. His research focuses on synaptic plasticity, auditory perception, maternal behavior, and the role of oxytocin in social behavior. Froemke earned his PhD from the University of California, Berkeley, and completed postdoctoral training at UCSF under Dr. Arthur N. Schreiner. His lab investigates three key areas: oxytocin's effects on maternal physiology, the balance of cortical excitation-inhibition, and the neural mechanisms of cochlear implants. Techniques used include in vivo electrophysiology, two-photon microscopy, and whole-brain circuit mapping. Recent work explores how neuromodulators like noradrenaline and oxytocin enhance perceptual learning and cochlear implant performance. Notable contributions include identifying neural circuits underlying maternal care and demonstrating the therapeutic potential of oxytocin in Alzheimer's models. Froemke collaborates widely, including with Moses V. Chao and Dayu Lin, and mentors a diverse team of postdoctoral fellows and graduate students. Education: PhD, University of California, Berkeley Postdoctoral Training: UCSF (Schreiner Lab) Labs/Teams: Froemke Lab at NYU Langone Health Grants/Awards: NIH-funded research, endowed Skirball Professorship Future Work: Optimizing cochlear implants, oxytocin's role in social learning, and neural plasticity in aging.

• RNA Biology
• Genomics
• Cancer Metastasis
• +۵ مورد دیگر

Traude Beilharz is a Professor at Monash University's Department of Biochemistry & Molecular Biology. She leads research into RNA metabolism in health and disease, focusing on eukaryotic systems using next-generation technologies and model organisms. Her work contributes to understanding human genetic code fundamentals and accelerating gene-function discovery. Research interests include RNA biology, genomics, and cancer metastasis. She explores mechanisms of mRNA processing, translational control, and their roles in disease. Notable projects include studying antifungal drug tolerance and mRNA vaccine development through collaborations in the ARC Centre of Excellence for Cellular Systems. Recent articles highlight her work on alternative polyadenylation in cancer, fungal pathogenesis, and mRNA dynamics. She has been honored with the Mercator Fellow award (2023). Her projects include leadership in mRNA clinical trials and pre-clinical innovation incubators.

Simon Bondمشاهده پروفایل

پژوهشگر

• Tissue-specific Drug Delivery
• Metabolism
• Diabetes
• +۳ مورد دیگر

Dr. Simon Bond is an Adjunct Research Associate at Monash University, affiliated with the Baker Heart and Diabetes Institute. He holds a BSc (Honours) in Biomedicine from Deakin University and a PhD in Metabolism from the Metabolic Research Unit at Deakin University. His research focuses on tissue-specific drug delivery, metabolic mechanisms underlying insulin resistance, and type 2 diabetes. Key areas include molecular pathways in metabolic tissues and their dysfunction in disease. Bond has published in high-impact journals such as Nature Communications and Cell Reports. His work explores how metabolic enzymes’ acetylation regulates activity in diabetes and obesity, as well as the role of genetic and epigenetic factors in metabolic disorders. Collaborations span cardiovascular biology, neurology, and proteomics. No specific awards are mentioned, but his contributions align with UN Sustainable Development Goals targeting health and well-being (Goal 3). Research activities include postdoctoral studies at the Molecular Metabolism and Ageing Laboratory, with projects on amyloid beta effects in cardiac metabolism and estrogen receptor impacts on obesity. His lab investigates extracellular vesicles and mitochondrial dysfunction in disease contexts.

• Immunology
• Autoimmune Diseases
• Inflammation Research
• +۳ مورد دیگر

Huapeng Fan is an Adjunct Research Fellow and Research Assistant at Monash University's Faculty of Medicine, Nursing and Health Sciences, affiliated with the Centre for Inflammatory Disease. His research focuses on inflammation mechanisms, autoimmune diseases, and molecular pathways involved in conditions like rheumatoid arthritis and systemic lupus erythematosus. Key topics include macrophage migration inhibitory factor (MIF), NLRP3 inflammasome regulation, autophagy, and glucocorticoid sensitivity. His work contributes to UN Sustainable Development Goals related to health and well-being. Research interests span immunology, molecular biology, and pharmacology, with emphasis on inflammatory mediators, cytokine regulation, and therapeutic targets. Notable studies explore MIF's role in inflammation, GILZ's anti-inflammatory effects, and formyl peptide receptor agonists for arthritis treatment. His publications (19 total) span 2005–2019, covering topics like gene expression in autoimmune diseases, IL-1 dependent disorders, and angiogenesis inhibitors derived from decorin proteins. His articles have been cited over 250 times and referenced in patents and Wikipedia. He collaborates widely, including with Prof. Morand and Harris, and his work has been picked up by 19 news outlets and featured on social media platforms. No formal student advisement or awards are explicitly stated, though his research has significant industry and academic impact.

Feilim Mac Gabhannمشاهده پروفایل

دانشیار

• Systems Pharmacology
• Computational Modeling
• Therapeutic Angiogenesis
• +۴ مورد دیگر

Feilim Mac Gabhann is an Associate Professor of Biomedical Engineering at Johns Hopkins University’s Whiting School of Engineering, with a joint appointment in the School of Medicine. His expertise lies in systems pharmacology, focusing on computational modeling of therapies like antibody-drug conjugates, gene therapies, and cell transplants. He investigates the role of VEGF (vascular endothelial growth factor) in diseases such as cancer, HIV, and vascular disorders. Education: Bachelor’s in Chemical Engineering (University College Dublin, 1997) PhD in Biomedical Engineering (Johns Hopkins University, 2006) Postdoctoral Fellowship in Cardiovascular Research at the University of Virginia (2006–2009) Research Interests: Computational models to simulate therapies targeting VEGF signaling pathways, HIV pathogenesis, and cardiovascular remodeling. Projects include designing antibody-drug conjugates for cancer, simulating HIV therapies to boost host responses, and developing novel data visualization tools. Key Contributions: His work bridges computational biology and clinical applications, supported by NIH grants and awards such as the 2012 Sloan Research Fellowship and 2016 Teaching Excellence Award. He is a core faculty member of the Institute for Computational Medicine. Awards: William H. Huggins Excellence in Teaching Award (2016) JHU Catalyst Award (2015) American Physiological Society Arthur C. Guyton Award (2012) NIH Pathway to Independence Award (2008) Grants & Advising: Leads projects funded by NIH, including virtual clinical trial simulations for HIV therapies. Active in mentoring students and collaborating across disciplines to advance translational medicine. Labs & Teams: Directs the Computational Design of Therapeutics Lab, focusing on mechanistic modeling of therapeutic interventions and vascular biology. Collaborates with the Institute for Computational Medicine on interdisciplinary projects.

Lei Leiمشاهده پروفایل

استاد

• Origin of Life
• Evolution of the Genetic Code
• Transcriptional Regulation
• +۵ مورد دیگر

Professor Lei Lei is a faculty member at the University of New England's Graduate School of Biomedical Science and Engineering since 2010. He specializes in teaching undergraduate courses such as Cell and Molecular Biology and Developmental Neurobiology, earning the Debra J. Summers Memorial Award for Teaching Excellence in 2018. His research focuses on two core areas: transcriptional regulation in neural development and the evolutionary origins of life and genetic code. Lei holds a Ph.D. in Biochemistry from Michigan State University (1998) and a B.S. in Biology from Wuhan University (1991). He completed postdoctoral training in Developmental Biology at UT Southwestern Medical Center. His work has been supported by grants including NIH R01 awards and the COBRE interdisciplinary center for Pain and Sensory Function studies. Lei’s research integrates evolutionary biology with molecular mechanisms, exploring how genetic code evolution intersects with modern developmental biology. His lab investigates transcriptional networks controlling sensory neuron development and axon regeneration, with a focus on Sox11 and Klf7 transcription factors. He has presented at major conferences like the Society for Developmental Biology and the Gordon Research Conference on Neurotrophic Factors. Grants: NIH R01 (2020), COBRE P20GM103643 (2015), and multiple institutional partnerships. Labs/Teams: Collaborates across institutions including Mayo Clinic Arizona and Barrow Neurological Institute. Future Work: Expanding studies on genetic code evolution and neurotrophic factor pathways in chronic pain.