جست‌وجوی استاد و پژوهشگر

• Cell Stress
• Molecular Chaperones
• Neurodegenerative Disorders
• +۴ مورد دیگر

Professor Paul Chapple is a Professor of Molecular Cell Biology and Deputy Dean for Postgraduate Research at Queen Mary University of London's William Harvey Research Institute (WHRI), part of the Faculty of Medicine and Dentistry. He leads the Centre for Endocrinology and holds academic roles including Co-Centre Lead and Director of Graduate Studies at WHRI. His research focuses on cell stress, molecular chaperones, and their roles in neurodegeneration, endocrine disorders, and diseases like pheochromocytoma. Education: PhD in Molecular Biology from University College London (1997). Postdoctoral research at UCL Institute of Ophthalmology and KCL Institute of Psychiatry. Joined WHRI as a Lecturer in 2006, promoted to Reader (2010) and Professor (2014). Research Interests: Specializes in proteostasis networks, chaperone proteins (e.g., sacsin, AIP), and their roles in diseases. Current projects include neurodegenerative disorders, pheochromocytoma tumorigenesis, and primary cilia function. His work bridges cell biology and clinical relevance, with a focus on drug discovery for conditions like ARSACS (a rare ataxia). Key Collaborations: Internal collaborations with Professors Carol Shoulders and Will Drake; external partnerships with institutions like McGill University (Montreal) and Università Vita-Salute San Raffaele (Milan). Funded by MRC, BBSRC, and charities like Ataxia-CSC Foundation. Grants & Awards: Secured BBSRC funding (2017) for chaperone research. Collaborative projects include studies on ARSACS cellular phenotypes and therapeutic screening. His lab employs advanced techniques like CRISPR-Cas9 and AlphaFold modeling. Teaching & Mentorship: Teaches MB BS, MSc Endocrinology, and Neuroscience programs. Supervises PhD students (e.g., Mohammed Dushti) and postdoctoral researchers (e.g., Dr. Grace Salsbury). His team includes clinical fellows and international collaborators. Labs/Teams: Leads a dynamic research group investigating molecular mechanisms of disease at the WHRI, integrating basic science with clinical applications.

Farshid Jafarpourمشاهده پروفایل

استادیار

• Theoretical Biological Physics
• Statistical Physics
• Biophysics
• +۵ مورد دیگر

Dr. Farshid Jafarpour is an Assistant Professor of Theoretical Physics at Utrecht University's Faculty of Science. He is affiliated with the Theoretical Physics (ITF) group, specializing in Condensed Matter Theory and Statistical & Computational Physics. His research focuses on applying stochastic processes, nonlinear dynamics, and nonequilibrium statistical physics to biological systems across scales, including bacterial growth modeling, biological homochirality origins, and pattern formation in chemical/biological systems. He teaches courses such as Advanced Topics in Theoretical Physics II, Biological and Soft Matter Physics, and Stochastic Processes in Biophysics. His work bridges single-cell dynamics with population-level phenomena, emphasizing the interplay between stochasticity and deterministic processes in biological systems. Recent publications explore population growth oscillations, noise-induced symmetry breaking, and scaling concepts in genomic data. Dr. Jafarpour's research group offers projects for students with strong probabilistic and coding skills, particularly in stochastic modeling. His contributions span theoretical physics and biophysics, addressing fundamental questions about life's emergence and biological complexity.

Spencer Museمشاهده پروفایل

استاد

• Bioinformatics
• Statistical Genetics
• Molecular Evolution
• +۳ مورد دیگر

Spencer Muse is a Professor in the Department of Statistics at North Carolina State University (NC State). He currently serves as the Director of the Statistics Undergraduate Program and the Director of the Bioinformatics Graduate Program. His work focuses on integrating statistical methodologies with biological data analysis, particularly in molecular evolution and genetics. He is affiliated with the Bioinformatics Research Center and contributes to interdisciplinary collaborations within the university. Spencer Muse holds a Ph.D. in Statistics and Genetics from NC State University, earned in 1993. His educational background merges advanced statistical training with genetic research, enabling him to address complex problems at the intersection of quantitative sciences and biology. His primary research interests include Bioinformatics , Statistical Genetics , and Molecular Evolution . He specializes in developing computational tools for evolutionary hypothesis testing and refining models that account for substitution rate variations and alignment errors. His work aims to improve the accuracy of selection analyses and parameter estimation in genetic datasets. Muse’s recent articles emphasize advancements in evolutionary analysis frameworks, including alignment error correction, substitution rate modeling, and software development (e.g., HyPhy, PowerMarker). These tools are widely used in studying viral, plant, and microbial genomes, enhancing the understanding of evolutionary processes and genetic diversity. No scientific awards or honors are explicitly mentioned in the provided information. His contributions to education and research administration highlight his role in shaping academic programs and fostering student development in quantitative biology and bioinformatics. In advising and grants, while no specific students or grants are listed, Muse’s leadership in undergraduate and graduate programs suggests active mentorship roles. His software contributions (e.g., HyPhy, PowerMarker) reflect significant grant-funded research. He is also part of the Administration Faculty group, overseeing departmental and programmatic activities. Muse is affiliated with the Department of Statistics and the Bioinformatics Graduate Program. His office is located in SAS Hall 5276, and he maintains a professional website linked to his profile.

• Bio-Inspired Artificial Intelligence
• Evolutionary Algorithms
• Artificial Neural Networks
• +۵ مورد دیگر

Keith L. Downing is a Professor in the Department of Computer Science at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. His research focuses on bio-inspired artificial intelligence, including evolutionary algorithms, artificial neural networks, and computational neuroscience. He has authored two MIT Press books: *Intelligence Emerging* (2015) and *Gradient Expectations* (2023). His work bridges AI, artificial life, and cognitive science, emphasizing the emergence of intelligence in both natural and artificial systems. Teaching responsibilities include Introductory AI, AI Programming, Cognitive Architectures, and Deep Learning courses at NTNU. He also engages in public outreach, such as a 2015 TV appearance on *Schrødingers katt: Kunstig Intelligens*. His research spans predictive neural mechanisms, evolutionary computation, and the societal implications of AI, as seen in his 2014 feature article in *Aftenposten*. Key publications include foundational work on the Baldwin Effect (2004), neural predictive models (2013), and computational neuroscience (2009). He actively promotes interdisciplinary approaches to AI, blending technical innovation with biological plausibility.

Sung Soo Kimمشاهده پروفایل

استادیار

• Neuroscience
• Neural Circuits
• Behavioral Neuroscience
• +۶ مورد دیگر

Sung Soo Kim is an Assistant Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of California, Santa Barbara (UCSB), with affiliations in UCSB Neuroscience. His research focuses on understanding how the brain integrates multi-sensory information to enable navigational decisions, using Drosophila melanogaster as a model organism. Techniques employed include two-photon calcium imaging, optogenetics, electron microscopy, and computational modeling. Education & Awards: Recipient of prestigious awards such as the NSF CAREER Award, McKnight Scholar Award, and NIH Director's New Innovator Award. He holds scholarships from The Samsung Foundation and The Rotary Foundation. Research Interests: The lab investigates neural circuits underlying spatial navigation and cognitive behavior. Key topics include compass-like neural representations, visuomotor computations, and circuit dynamics. They combine experimental and computational approaches to map neural circuits at synaptic resolution. Grants & Collaborations: Active grants include NIH and NSF funding. Collaborations involve projects like the FlyWire Consortium for neuronal wiring diagrams and EM connectomics. Labs & Teams: Leads the Sung Soo Kim Lab at UCSB, which integrates molecular, cellular, and computational approaches. The lab actively recruits graduate students and postdocs with interests in neuroscience and quantitative biology.

Nitin Mantriمشاهده پروفایل

استاد

• Plant Functional Genomics
• Traditional Medicine Research
• Medicinal Plants
• +۸ مورد دیگر

Professor Nitin Mantri is a faculty member at RMIT University's School of Science, holding the rank of Professor. He leads The Pangenomics Lab and manages the Master of Biotechnology program. His primary research focuses on plant functional genomics, traditional medicine, and functional foods, with over 110 peer-reviewed articles and $12 million in research funding. He collaborates with industries like GRDC, Horticulture Australia, and MGC Pharmaceuticals. Research interests span crop genetics, medicinal plants, and nanotechnology applications. Notable achievements include developing microbial detection kits for Skybury Coffee and establishing the 'International Library of Cannabinoids.' Awards include RMIT Dean’s Research Excellence Awards (2013, 2019) and the Teaching Achievement Award (2016). Key Projects: Microbial profiling of hot springs for wellness industries Development of cannabis databases for clinical use Rapid detection assays for agricultural pathogens Awards & Roles: 2021 Chair of International Conference on Traditional Medicine Adjunct Associate Professor at University of Western Australia Recipient of multiple RMIT excellence awards His recent articles emphasize nanoparticle-based food packaging, cannabinoid drug delivery, and plant stress genomics. He actively supervises research on topics like antimicrobial compounds and CRISPR-based gene editing in pomegranates.

Kuan Hong Wangمشاهده پروفایل

استاد

• Neuroscience
• Neurodevelopment
• Alzheimer's Disease
• +۷ مورد دیگر

Dr. Kuan Hong Wang is a Professor of Neuroscience and Pharmacology & Physiology at the School of Medicine and Dentistry, University of Rochester. He holds the Dean's Professorship in Neuroscience and leads the Wang Lab, focusing on neural circuit mechanisms underlying cognitive control of sensorimotor functions. His research integrates molecular genetics, in vivo imaging, and behavioral analyses to study brain circuit development in psychiatric disorders such as schizophrenia, depression, and addiction. Dr. Wang earned his B.A. from Harvard College (1994) and Ph.D. from UCSF (1999). Research interests include experience-dependent cortical information processing, molecular and cellular changes in sensory/association cortices, and real-time monitoring of brain dysfunction in psychiatric models. Key affiliations include the Intellectual and Developmental Disabilities Research Center and the Del Monte Institute for Neuroscience. Labs/Teams: Wang Lab (focusing on systems neuroscience and translational research). Current lab members include postdoctoral scholars and graduate students studying topics like dopaminergic plasticity, neuroinflammation in Alzheimer’s, and motor skill learning. Grants and funding: Not explicitly detailed in provided texts, but implied through research focus on NIH-relevant topics like neurodevelopment and aging. Collaborations include multi-institutional projects on emotional well-being and brain aging.

André Fischerمشاهده پروفایل

استاد

• Neurodegenerative Diseases
• Epigenetics
• Alzheimer's Disease
• +۳ مورد دیگر

Prof. Dr. André Fischer is a W3 Professor at the Department for Psychiatry and Psychotherapy, University Medical Center Göttingen, and serves as Speaker of the German Center for Neurodegenerative Diseases (DZNE) site Göttingen. His research focuses on epigenetic mechanisms underlying neurodegenerative diseases like Alzheimer's, combining patient and mouse models with molecular, genetic, and bioinformatic techniques. Education & Career: 2003-2006: Postdoctoral Associate at Harvard Medical School and MIT's Picower Center 2007-2011: Independent Group Leader at ENI Since 2011: W3 Professor and DZNE Site Speaker Research Interests: His work explores how gene-environment interactions via epigenetic processes (histone modification, DNA methylation, non-coding RNAs) contribute to neurodegenerative and psychiatric diseases. Key areas include memory formation, neuroprotective therapies, and molecular pathways governing cognitive decline. Publications: His articles highlight breakthroughs in HDAC6 inhibition for Alzheimer's, microRNA-based dementia therapies, and epigenetic regulation of fear memory extinction. These studies underscore his lab's interdisciplinary approach to translational neuroscience. Affiliations: Active in the Göttingen Graduate Center's programs on Molecular Biology, Neuroscience, and Computational Neuroscience. Collaborates across departments to advance neurodegenerative disease research.

• Cardiogenomics
• Cardiovascular Disease
• Women's Health
• +۴ مورد دیگر

Anja Bye is a Professor and Research Group Leader at the Department of Circulation and Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU). She also serves as a Research Advisor at St. Olav's Hospital's Research Department and Study Program Leader for Pain and Complex Disorders in the Master's program in Clinical Health Sciences at NTNU. Education: Master of Science in Biotechnology (NTNU) Doctorate in Molecular Medicine (NTNU) Research Interests: Her work focuses on cardio-metabolic diseases with a gender lens, particularly in women. Key areas include cardiogenomics, biomarker discovery (microRNA, lipoproteins), genetic determinants of fitness, and translational research linking exercise physiology to cardiovascular health. Collaborations span institutions like Karolinska Institutet, University of Milan, and St. Olav's Hospital. Publications: Over 40 peer-reviewed articles since 2008, emphasizing microRNA-based risk prediction, genetic fitness determinants, and lipidomics in cardiovascular disease. Recent work includes polygenic prediction models and biomarker validation studies. Awards: None explicitly listed in provided text. Advising/Grants: Supervises 4 master's students, 4 fellows, and 1 postdoc. Projects include CorFemina (women's heart disease prevention), CardioFit (genetic fitness studies), and LipidEx (exercise in lipedema). Active in securing multi-institutional grants for interdisciplinary cardiovascular research. Labs/Teams: Leads the Cardiogenomics Research Group and collaborates with the Cardiac Exercise Research Group. Coordinates multi-disciplinary teams in clinical intervention studies and molecular epidemiology.

Wilbert Zwartمشاهده پروفایل

استاد

• Biomedical Engineering
• Molecular Biology
• Cancer Research
• +۳ مورد دیگر

Wilbert Zwart is a Part-time Full Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e). His research focuses on molecular mechanisms underlying cancer progression, epigenetic regulation, and computational modeling of tumor microenvironments. He collaborates actively with interdisciplinary teams in chemical biology and systems biology. Key research interests include chromatin dynamics, CRISPR-Cas9 editing efficiency modulation, and agent-based modeling of tumor growth. Recent work addresses epigenetic drug effects on gene editing tools and genomic heterogeneity in breast tumors. His studies integrate computational approaches with experimental biology to uncover cancer vulnerabilities. Publications span high-impact journals like Genome Biology, Nucleic Acids Research, and npj Systems Biology and Applications. No ancillary activities are listed, and no scientific awards are mentioned. Collaborations include co-authors from TU/e and international institutions, though formal student advisees are unspecified. Wilbert Zwart contributes to TU/e's Biomedical Engineering research ecosystem without noted lab-specific details or grant mentions in the provided text.

Jean Philippe Thiviergeمشاهده پروفایل

استاد

• Neural Dynamics
• Neurosciences
• Systems Biology
• +۵ مورد دیگر

Jean Philippe Thivierge is a Professor in the Department of Psychology at the University of Ottawa, Faculty of Social Sciences. His research integrates experimental and computational approaches to study the dynamics of neuronal networks underlying memory and cognition. Research Interests: Dr. Thivierge's work centers on neural dynamics , neurosciences , and systems biology . He investigates how large-scale neuronal populations encode and maintain memories by combining multielectrode recordings with biologically realistic simulations. His lab explores principles of network organization across spatial and temporal scales, focusing on phenomena like neuronal avalanches, attractor dynamics, and functional connectivity. The analysis of his recent publications reveals a strong emphasis on computational modeling , statistical analysis of neural data , and network-level neuroscience . His work bridges experimental findings with theoretical frameworks, particularly in understanding scale-free dynamics, criticality, and information processing in cortical and hippocampal circuits. Scientific Contributions: While specific awards are not listed, his publication record in high-impact journals such as Neuron , PLoS Computational Biology , and Journal of Neurophysiology reflects significant contributions to computational and systems neuroscience. Advising and Research: Dr. Thivierge mentors several trainees, including graduate students and postdoctoral fellows, many of whom are co-authors on his publications. His lab employs multielectrode array technology and large-scale neural simulations to probe the mechanisms of memory formation and network stability. Although grant details are not provided, his sustained research output suggests active funding support. Laboratory Focus: The Thivierge Lab operates at the intersection of experimental neurophysiology and computational modeling, utilizing both in vitro recordings and in silico simulations to test hypotheses about brain network function. The lab's approach enables rigorous testing of biophysical mechanisms linking synaptic properties to emergent network behaviors.

Giulia Fisconمشاهده پروفایل

استادیار

• Bioinformatics
• Computational Biology
• Network Medicine
• +۵ مورد دیگر

Giulia Fiscon is an Assistant Professor in Bioengineering at the Department of Computer, Automation, and Management Engineering (DIAG) of Sapienza University of Rome. She holds a summa cum laude degree in Biomedical Engineering from Campus Bio-Medico University (2012) and a PhD in Computer Science from Sapienza (2016, with top honors). Her research focuses on bioinformatics, computational biology, and network medicine, particularly in drug repurposing, cancer genomics, and systems pharmacology. She has authored 65+ publications with an h-index of 24 (Scopus). Current roles include teaching Bioinformatics courses and leading research on network-based approaches for drug discovery. Her work integrates transcriptomics, interactomics, and computational tools like SWIM and SAveRUNNER to address complex diseases. Recent projects include predicting drug responses in cancers, analyzing drug-toxicity interactions, and developing ontologies for Alzheimer’s data. Her research highlights include: Network medicine applications in oncology and neurodegenerative diseases Development of computational tools for RNA analysis and drug repurposing Investigation of microRNA-mRNA interactions in cancer progression Her articles emphasize drug repositioning strategies, precision medicine, and systems biology frameworks. She has collaborated with institutions like the National Research Council and the Foundation for Personalized Medicine.

Kenneth David Mandlمشاهده پروفایل

استاد

• Biomedical Informatics
• Artificial Intelligence in Healthcare
• Electronic Health Records
• +۹ مورد دیگر

Kenneth David Mandl, MD is the Donald A. B. Lindberg Professor of Pediatrics at Boston Children’s Hospital and Professor of Biomedical Informatics at Harvard Medical School. He is Director of the Computational Health Informatics Program (CHIP) at Boston Children’s Hospital, a leading center for research in health data science and informatics. Institution: Boston Children’s Hospital School: Harvard Medical School, Faculty of Medicine Department: Department of Biomedical Informatics Academic Rank: Professor Dr. Mandl earned his MD from Harvard Medical School and an MPH from the Harvard School of Public Health, with clinical training in pediatrics and pediatric emergency medicine at Boston Children’s Hospital. He also completed fellowships in Clinical Effectiveness and Medical Informatics. His research focuses on leveraging artificial intelligence, electronic health records, and data interoperability standards (e.g., FHIR) to advance clinical care, public health surveillance, and learning health systems. Key interests include automated phenotyping, patient data access, ethical AI in medicine, and digital health innovation. He has led transformative initiatives such as the SMART Platforms and the Accessible Research Commons for Health (ARCH). The recent publications highlight a strong trend toward AI-driven clinical informatics, with work spanning explainable machine learning, generative AI for clinical notes, federated learning systems (e.g., Cumulus), and biosurveillance using NLP. His research bridges technical innovation with real-world implementation and policy, particularly in pediatric and population health contexts. Dr. Mandl has received several prestigious awards, including: Investing in Information Award (2004) Presidential Early Career Award for Scientists and Engineers (PECASE) (2005) Clifford Barger Award for Excellence in Mentoring (2008) Donald Lindberg Award for Innovation in Informatics (2014) As a principal investigator on multiple NIH-funded grants, including U01TR002623 and R01GM104303, he leads large-scale collaborative research efforts involving national consortia such as 4CE and SMART Cumulus Network. His work emphasizes open science, data sharing, and patient-centered innovation. While no current advisees are listed, his prior mentoring has been recognized institutionally. Dr. Mandl is actively engaged in advancing the field through leadership in research infrastructure, policy development for AI in healthcare, and the creation of scalable, interoperable digital health ecosystems.

• Developmental Biology
• Genetics
• RNA Biology
• +۵ مورد دیگر

Antonio Giraldez is the Fergus F. Wallace Professor of Genetics at Yale University, affiliated with the Yale School of Medicine. He holds academic appointments in Genetics and is associated with research centers such as the Center for RNA Science and Medicine and the Yale Stem Cell Center. His research focuses on understanding the molecular mechanisms governing embryonic development, particularly the maternal-to-zygotic transition and the role of RNA regulation in early embryogenesis. Dr. Giraldez earned his PhD from the European Molecular Biology Laboratory (EMBL) and completed postdoctoral training at NYU and Harvard. He has held leadership roles, including Chair of the Genetics Department (2017–2023) and Director of Graduate Studies (2012–2016). His work integrates genetics, genomics, and cell biology to study how regulatory codes shape gene expression during development. Key research interests include RNA stability, translational control, chromatin reprogramming, and the role of microRNAs in embryonic patterning. His lab employs zebrafish models to investigate developmental processes, leveraging cutting-edge techniques like ribosome profiling and CRISPR-based tools. Major honors include the HHMI Faculty Scholar Award (2016), Pew Scholar in Biomedical Sciences (2008), and Vilcek Prize for Creative Promise (2014). His publications span high-impact journals like Nature, Cell, and Molecular Cell, with recent work on pioneer factor activity and mRNA regulatory mechanisms. Dr. Giraldez collaborates widely, with research teams studying topics such as nanogold tagging for cryo-EM, chromatin expansion microscopy, and the role of non-coding RNAs. His lab’s findings bridge basic science and potential applications in regenerative medicine and developmental disorders.

Qiang Guoمشاهده پروفایل

مدرس ارشد

• Formal Methods
• Software Engineering
• Distributed Systems
• +۵ مورد دیگر

Dr Qiang Guo is a Senior Lecturer in Computer Science at Teesside University, affiliated with the Department of Computing & Games within the School of Computing, Engineering and Digital Technologies. He holds a PhD in Computer Science from Brunel University London and has previously worked as a Research Associate/Fellow at the University of Sheffield, Robert Gordon University, and the University of Cambridge, as well as a Senior Software Engineer at MasterCard. PhD, Computer Science, Brunel University London (2023) Master, Computational Intelligence, University of Plymouth Bachelor, Industrial and Electrical Automation, Xi'an University of Architecture and Technology PGCert in Higher Education, Teesside University His research focuses on Formal Methods in Software Engineering , particularly model-checking and testing of Distributed and Concurrent Systems . He integrates Artificial Intelligence techniques into Software Conformance Testing and explores Algorithmic Skeleton-based Parallel Computing for software engineering applications. His work addresses verification challenges in Erlang/OTP systems, extended finite state machines, and timed components. Dr Guo’s publications highlight a trajectory in Formal Verification , Automated Testing , and Optimization Techniques . Key themes include the application of Genetic Algorithms to finite state machine testing, Process Algebra (μCRL/mCRL) for telecommunications systems, and Testability Transformations to improve structural coverage. Trends reflect interdisciplinary bridges between Software Engineering and AI . As a Principal Investigator (PI) for the Innovate UK-funded project MC-IoT: Model Checking IoT Systems (2024-25, £31,907), he leads research in IoT system verification. He also contributed as Co-Investigator (Co-I) to the Parrot AI Enterprise Project (2023, £40k). Dr Guo is affiliated with the Centre for Digital Innovation , where he contributes to advancing software engineering methodologies. His work involves collaboration with academic and industrial partners to address real-world challenges in system verification and distributed computing.