جست‌وجوی استاد و پژوهشگر

Iswar Hariharanمشاهده پروفایل

استاد

• Developmental Biology
• Cell Biology
• Cancer Biology
• +۳ مورد دیگر

Iswar Hariharan is a Professor of Cell Biology in the Department of Molecular and Cell Biology at the University of California, Berkeley . He holds the William V. Power Chair in Biology and is an American Cancer Society Research Professor . His research focuses on mechanisms regulating tissue growth and regeneration using Drosophila as a model system. Key projects include studying growth control pathways (e.g., Hippo, TSC1/2) and regeneration processes in imaginal discs. Education: MBBS from the University of Sydney, PhD from the University of Melbourne. His lab has made significant contributions to understanding tumor suppressor pathways and their relevance to human cancers like tuberous sclerosis and leukemia. Recent work involves single-cell transcriptomics to study regeneration dynamics and epigenetic regulation of damage-response genes. His lab is supported by the NIGMS and includes collaborations on projects such as Echinoid-mediated tissue survival and Yap-driven transcriptional reprogramming. Students and lab members include prominent researchers like Robin Harris (Arizona State) and Justin Bosch (University of Utah). The lab is located at 515 LSA, Berkeley CA 94720.

• Pathology
• Hepatology
• Liver Transplantation
• +۶ مورد دیگر

Dr. Shefali Chopra is a Clinical Associate Professor of Pathology at the University of Southern California. Her research focuses on liver diseases, immunopathology, and molecular diagnostics of tumors. She specializes in areas such as metabolic-associated steatohepatitis (MASH), liver transplantation, and the immunological mechanisms underlying tumor progression. Her work integrates advanced techniques like spatial transcriptomics, single-cell analysis, and molecular diagnostics to study complex pathologies. Key research themes include: Immunological drivers of liver disease progression Diagnostic challenges in pancreatic and biliary tumors Molecular characterization of mesenchymal tumors Impact of cytokines and immune exhaustion in transplant rejection Recent publications highlight her contributions to understanding MASH pathogenesis, spatially resolved immune profiling in liver transplant rejection, and novel fusion genes in sarcomas. Her work bridges clinical pathology with cutting-edge genomic and immunological methods. Her articles consistently address translational challenges in diagnosing and treating liver diseases, sarcomas, and immunologically complex conditions.

• Oncology
• Retinal Diseases
• Epigenetics
• +۴ مورد دیگر

Mathieu Bakhoum, MD, PhD, is an Assistant Professor of Ophthalmology and Visual Science at Yale School of Medicine. He specializes in vitreoretinal surgery and treats complex retinal diseases such as age-related macular degeneration and diabetic retinopathy. His research focuses on two primary areas: mechanisms driving metastasis in uveal melanoma and developing retinal imaging biomarkers for cardiovascular diseases. His lab has identified novel epigenetic mechanisms in cancer progression and demonstrated retinal ischemic perivascular lesions (RIPLs) as a cardiovascular disease biomarker. Dr. Bakhoum holds dual appointments in Ophthalmology and Pathology. He received his MD and PhD from The University of Texas Medical Branch, followed by residency and fellowship training at Nassau University Medical Center, The University of Texas Medical Branch, and the University of California, San Diego School of Medicine. He leads the Bakhoum Lab, which bridges clinical care and translational research. His awards include grants from the NEI, Department of Defense, and Connecticut Lions Eye Research Foundation. He actively mentors students and contributes to courses in ophthalmology. His recent work emphasizes early cancer detection, non-invasive diagnostics, and leveraging retinal imaging for systemic disease surveillance.

Tuan Leng Tayمشاهده پروفایل

استادیار

• Neurobiology
• Neuroimmunology
• Neurodevelopment
• +۸ مورد دیگر

Dr. Tuan Leng Tay is an Assistant Professor of Biology and Assistant Professor of Anatomy and Neurobiology at Boston University. His research focuses on understanding microglial roles in brain development, injury response, and repair. With a PhD from the Albert Ludwig University of Freiburg, his work integrates experimental and computational approaches to unravel microglial heterogeneity and functional dynamics. Key research interests include neuroimmunology, neurodevelopmental processes, and mechanisms underlying neurodegenerative diseases such as Alzheimer’s and traumatic brain injury. Dr. Tay’s lab employs single-cell transcriptomics, advanced microscopy, and machine learning to study microglial behavior across health and disease states. Publications highlight breakthroughs in microglial fate mapping, clonal expansion dynamics, and the development of tools like U-Net for automated cell analysis. His work bridges basic science and translational research, collaborating with engineers to improve neural device compatibility and therapeutic strategies for CNS disorders. Dr. Tay’s lab actively engages in interdisciplinary projects, emphasizing microglia’s dual role as both protective and pathogenic agents in the brain. Current efforts aim to decode recovery mechanisms post-injury and identify molecular targets for neurodegenerative disease interventions.

Benjamin Macarthurمشاهده پروفایل

استاد

• Mathematical Modeling
• Machine Learning
• Stem Cell Dynamics
• +۲ مورد دیگر

Benjamin Macarthur is Professor in both the Faculty of Medicine and School of Mathematical Sciences at the University of Southampton, with visiting positions at Kumamoto University and leadership roles at the Alan Turing Institute. His interdisciplinary research combines mathematical modeling, machine learning, and experimental biology to study human health and disease. Research interests include: Machine learning applications in cell and molecular biology Structure and function of complex biological networks Stem cell dynamics and differentiation Mathematical modeling of biological systems Data-driven approaches to health research Recent publications demonstrate innovations in geometric machine learning approaches, stem cell isolation techniques, clinical AI uncertainty quantification, and analysis methods for single-cell sequencing data. Methodological developments include Ricci flow applications for deep learning and differentiation trajectory mapping. As Director of AI for Science and Government and Programme Director for Health and Medical Sciences at the Alan Turing Institute, leads national initiatives in data science and AI applications for health research.

Andrew Masonمشاهده پروفایل

مدرس

• Cancer Genomics
• Transcriptomics
• Bioinformatics
• +۳ مورد دیگر

Andrew Mason is a Lecturer in the Department of Biology at the University of York, part of the Jack Birch Unit for Molecular Carcinogenesis and the York Biomedical Research Institute. He holds a PhD in endogenous retrovirus research from the Roslin Institute (2013–2017) and has held postdoctoral roles there. His research focuses on urothelial carcinoma and endogenous retrovirus impacts in avian/human cancers, utilizing sequencing technologies like RNAseq, ATACseq, and single-cell transcriptomics. He leads the Mason Lab, which collaborates with Genomics England’s 100,000 Genomes Project and explores ERV effects in poultry production. Education: PhD in endogenous retroviruses (Roslin Institute, 2013–2017). Research interests include bladder cancer stratification, ERV-driven oncogenesis, and avian genomics. Teaching includes bioinformatics modules in undergraduate and postgraduate programs, emphasizing genomic data analysis and ethical considerations. He is a Data Stewardship fellow in Elixir UK, promoting FAIR data practices. His lab’s work spans cancer bioinformatics, retroviral biology, and translational genomics.

• Machine Learning
• Biomedical Informatics
• Medical Genomics
• +۳ مورد دیگر

Prof. Gunnar Rätsch is a Full Professor in the Department of Computer Science at ETH Zürich and Deputy Head of the Institute for Machine Learning. His research focuses on developing machine learning methods for biomedical applications, including genomics, medical imaging, and clinical decision support systems. He specializes in integrating multi-omics data, spatial transcriptomics, and time-series analysis to address challenges in precision medicine and critical care. His work emphasizes ethical AI frameworks, algorithmic fairness, and robust clinical prediction models. Key research areas include: Deep learning for medical imaging and histopathology Single-cell analysis and tumor profiling Reinforcement learning for treatment optimization in ICUs Multimodal data integration for clinical applications Recent work highlights advancements in: Standardizing single-cell cytometry readouts for clinical use Developing foundation models for critical care time-series analysis Creating interpretable survival models for ICU patients His contributions span foundational machine learning theory and applied healthcare technologies, with a focus on translational research to improve clinical outcomes. Current projects include the Tumor Profiler Study for multi-omic tumor analysis and ethical frameworks for clinical AI systems.

• Immunology
• Infectious Diseases
• Dermatology
• +۳ مورد دیگر

Joshua Farber is a Clinical Assistant Professor in Psychiatry at the Yale School of Medicine, with a focus on immunology and inflammatory diseases. His research explores immune cell trafficking mechanisms in conditions like psoriasis and SARS-CoV-2 infection, leveraging translational approaches from bench to bedside. Education: DO from University of New England College of Osteopathic Medicine (2001), MA from Boston University School of Medicine (1997), BS in Physiology and Neurobiology from University of Connecticut (1996). Clinical training includes residencies in Physical Medicine and Rehabilitation (2002) and Psychiatry (2005). Research interests center on chemokine-driven immune cell migration, viral immunopathology, and cutaneous inflammation. Key topics include Th17 cell biology, CCR2/CCR6 signaling pathways, and cytokine networks in psoriasis and infectious diseases. Recent work highlights SARS-CoV-2 immune responses, including protective roles of CXCL10 and CCR2 in viral pathogenesis. His studies integrate human and mouse models to unravel mechanisms of immune cell recruitment in disease contexts. No scientific awards listed. No formal advisees reported. Active in translational research collaborations within Yale's immunology and virology research networks.

Marc Monotمشاهده پروفایل

پژوهشگر

• Genomics
• Transcriptomics
• Bioinformatics
• +۷ مورد دیگر

Marc Monot is a researcher and platform manager at the Biomics platform within the Institut Pasteur, a leading institution in microbiology and infectious diseases. He plays a central role in managing next-generation sequencing (NGS) technologies and bioinformatics resources, supporting both internal and external research teams. His work bridges technological infrastructure and scientific discovery, particularly in microbial genomics and host-pathogen interactions. His research interests span genomics, transcriptomics, bioinformatics, phage biology, Clostridioides difficile pathogenesis, single-cell analysis, and microbial biofilms . He applies high-throughput sequencing and computational tools to understand bacterial virulence, adaptation, and gene regulation. His work often involves developing and applying bioinformatics pipelines for NGS data analysis. The recent publications highlight a strong focus on microbial genomics and host-pathogen dynamics. Key themes include pathogen evolution (e.g., Listeria, Candida, C. difficile), phage biology, biofilm formation, and vaccine development . The use of advanced techniques like single-cell transcriptomics and long-read sequencing (e.g., Oxford Nanopore) is evident, reflecting a commitment to cutting-edge methodologies. His work bridges fundamental biology with potential clinical and public health applications. Marc Monot has led and contributed to significant research projects such as CDPhages – ANR JCJC and the Single Cell Transcriptomics, Epigenetics and Genomics initiative. He has also developed key bioinformatics tools like PhageTerm and COV2HTML , demonstrating expertise in both wet-lab and computational biology. He has been actively involved in training and education, organizing and teaching workshops on bacterial RNAseq and NGS data analysis, contributing to capacity building in genomics both at Institut Pasteur and internationally (e.g., in Tunis). His collaborations span multiple teams and international partners, reflecting an integrative and collaborative research approach.

Fabian J. Theisمشاهده پروفایل

استاد

• Systems Biology
• Mathematical Modeling
• Single-Cell Analysis
• +۳ مورد دیگر

Prof. Dr. Dr. Fabian J. Theis is a full Professor of Biomathematics at Technische Universität München (TUM) since 2013 and Director of the Institute of Computational Biology at the Helmholtz Center Munich. He leads the Theis Lab, focusing on machine learning approaches for single-cell genomics and systems biology. His academic journey includes a doctorate in biophysics (2002) and computer science (2003), followed by postdoctoral work in Regensburg, Tokyo, and Tallahassee. Research areas include mathematical modeling of biological processes, single-cell analysis, and integrating omics data into systems medicine. He has advised numerous PhD candidates and leads projects on computational health, including the Lung Cell Atlas and drug discovery. Notable awards include the Gottfried Wilhelm Leibniz Prize (2023) and ERC Advanced Grant (2022). His lab hosts over 50 researchers, including postdocs, PhD candidates, and engineers, working on topics like spatial transcriptomics and multi-modal data integration. Collaborations with global institutions drive advancements in computational biology and medical discovery.

Matthias Hebrokمشاهده پروفایل

استاد

• Pancreas Development
• Diabetes Research
• Pancreatic Cancer
• +۷ مورد دیگر

Prof. Dr. Matthias Hebrok is a Professor and Chair for Applied Stem Cell and Organoid Systems at the Technical University of Munich (TUM) and Director of the Institute for Diabetes and Organoid Technology (IDOT) at Helmholtz Munich. He holds a Bavarian Distinguished Professorship (2023) and previously served as the Hurlbut-Johnson Distinguished Professor in Diabetes Research at the University of California, San Francisco (UCSF), where he directed the Diabetes Center from 2010 to 2020. His research focuses on pancreatic organoid systems, stem cell differentiation, and cell replacement therapies for diabetes. He has pioneered the generation of functional β-like cells from human pluripotent stem cells and explores organoid models for pancreatic cancer. His work integrates bioengineering, bioinformatics, and genetic tools to advance therapeutic strategies. Hebrok earned his PhD at the Max Planck Institute of Immunobiology (Freiburg) and conducted postdoctoral research at Harvard University. Key awards include the JDRF Innovation Award (2020), Gerold & Kayla Grodsky Award (2015), and Sandler Awards (1999–2000). His labs at TUM and Helmholtz Munich focus on diabetes and pancreatic cancer, emphasizing translational research to bridge basic science and clinical applications. His scientific contributions span pancreatic development mechanisms, β-cell function, and regenerative medicine. Current initiatives include optimizing stem cell-derived islet clusters for transplantation and modeling pancreatic cancer via organoid technology. He advocates for interdisciplinary collaboration to address complex challenges in diabetes and cancer research. Affiliations: TUM School of Medicine and Health, Helmholtz Munich, TUM Center for Organoid Systems Research Themes: Stem cell differentiation, organoid systems, diabetes therapy, pancreatic cancer modeling Notable Awards: Bavarian Distinguished Professorship (2023), Hurlbut-Johnson Distinguished Professorship (2009–2022)

Mansi Srivastavaمشاهده پروفایل

استاد

• Regeneration Biology
• Stem Cell Biology
• Evolutionary Developmental Biology
• +۳ مورد دیگر

Mansi Srivastava is a Professor of Organismic and Evolutionary Biology and Curator of Invertebrate Zoology at Harvard University's Museum of Comparative Zoology. She co-chairs the Department of Organismic and Evolutionary Biology and leads the Srivastava Lab, which focuses on regeneration mechanisms, stem cell biology, and evolutionary developmental processes. Her work primarily uses the acoel worm Hofstenia miamia as a model organism to study conserved regeneration pathways across animals. Research interests center on understanding how wounding triggers repair/regeneration, the evolutionary origins of regeneration capacity, and the molecular mechanisms (e.g., Wnt/Bmp signaling) governing stem cell behavior. Key contributions include identifying embryonic origins of adult pluripotent stem cells and demonstrating conserved regeneration patterns between acoels and planarians. Lab activities involve genetic tools (RNAi, transgenesis), single-cell profiling, and comparative analyses of regeneration across species. Collaborators include postdocs and students like Julian Kimura and Ryan Hulett. The lab’s work bridges developmental, evolutionary, and regenerative biology, aiming to uncover universal principles of regeneration. Notable projects include studies on chromatin regulation during development, wound signaling dynamics, and the evolutionary plasticity of regenerative systems. The lab also engages in broader initiatives like developing Hofstenia as a model organism and exploring genomic mechanisms of regeneration in brittle stars and other organisms.

• Optogenetics
• Neural Circuit Analysis
• Hydrogel-Tissue Chemistry (CLARITY)
• +۴ مورد دیگر

Karl Deisseroth is the D.H. Chen Professor of Bioengineering and Psychiatry and Behavioral Sciences at Stanford University, and an Investigator at the Howard Hughes Medical Institute. He holds dual appointments in the School of Medicine and School of Engineering. His research focuses on developing transformative neurotechnologies like optogenetics and CLARITY, pioneering causal systems neuroscience, and advancing understanding of psychiatric disorders such as depression and autism. He completed his A.B. at Harvard, and M.D. and Ph.D. at Stanford, followed by residency and postdoctoral training at Stanford. Deisseroth's lab has disseminated optogenetics and CLARITY to thousands of labs globally. His honors include the Japan Prize (2023), Lasker Award (2021), Kyoto Prize (2018), and membership in all three U.S. National Academies. He continues clinical practice in psychiatry, combining medications with neural stimulation therapies. Key research interests span optogenetic tools, 3D genome architecture in neurons, and neurobiological mechanisms of emotion and dissociation. He teaches courses on optogenetics and systems physiology, advising over 30 doctoral and postdoctoral researchers. His work bridges engineering, neuroscience, and psychiatry, with over 500 publications and numerous patents.

• Alzheimer's Disease
• Age-Related Memory Loss
• Neurodegenerative Diseases
• +۵ مورد دیگر

Jonathan Brouillette is an Associate Professor in the Department of Pharmacology and Physiology at the Université de Montréal, where he leads research on Alzheimer’s disease and age-related memory loss. His work focuses on identifying molecular mechanisms underlying neurodegeneration and developing therapeutic interventions. He holds affiliations with the Signal Signaling and Circuitry Research Group (SNC) and the Quebec Interdisciplinary Research Center on the Brain and Learning (CIRCA). Education: PhD in Neuroscience (2001), McGill University Postdoctoral training at Yale University (2011) and Université de Lille 2 / Université de Louvain (2007) Research: Brouillette’s lab uses animal models and molecular biology techniques (e.g., RNAseq, immunohistochemistry) to study amyloid-beta oligomer toxicity, tau propagation, and sleep-cognition interactions. Key interests include neuroligin-1 as a blood biomarker and STEP phosphatase’s role in memory decline. Grants: He leads projects funded by CIHR, FRQS, and the Weston Brain Institute, totaling over CAD 5M since 2014. Notable grants include studies on amyloid-induced neurodegeneration and neuroligin-1 biomarker development. Awards: Includes FRQS Junior 2 Award (2020), Alzet-JoVE International Prize (2015), and multiple peer-recognized publications (e.g., Current Biology , PLoS Biology ). Labs & Teams: Directs the Alzheimer’s Disease Neurobiology Lab and collaborates with the CIMA-Q (Early Alzheimer’s Detection Consortium) and the Quebec Sleep Research Network (RQRS).

Carolina Guibentifمشاهده پروفایل

پژوهشگر

• Developmental Biology
• Cancer Biology
• Single-Cell Analysis
• +۳ مورد دیگر

Carolina Guibentif is a Researcher at the Department of Microbiology and Immunology, Sahlgrenska Academy, University of Gothenburg. Her research focuses on identifying genes and mechanisms influencing prenatal cancers through single-cell analysis. She leads a team developing a developmental biology 'atlas' to map genetic changes during prenatal life, aiming to identify biomarkers for early cancer detection in newborns. Her work integrates mouse models, cell cultures, and human developmental data to study blood formation and leukemia progression. Education: BSc in Molecular Biology (Lisbon, Portugal), MSc and PhD from Lund University. Postdoctoral research at the University of Cambridge (UK), where she contributed to seminal studies on single-cell analysis of mammalian development. Notable publications include work in Nature on mouse embryo analysis. Grants & Awards: SEK 15M grant from SSF (2020–2025) for strategic research on prenatal cancer mechanisms Swedish Childhood Cancer Fund research position Named 'Research Leader of the Future' by SSF (2020) Research Goals: Establish clinical collaborations to translate findings into precision medicine therapies for childhood cancers. Expanding her team at Sahlgrenska Academy to grow interdisciplinary efforts in developmental genomics and disease modeling. Labs/Teams: Currently building a research group focused on single-cell technologies and developmental systems biology. Collaborates with clinical researchers to maintain translational relevance.