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capabilities for cell therapy (CAR-T cells, stem cells, etc.), monoclonal antibodies, and small molecule generation, in line with our vested interest in commercializing our discoveries so that they can reach
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pluripotent stem cell (iPSC)-derived cultures and organoids. A key focus will be on understanding age-related cellular pathways and evaluating delivery nanoplatforms for RNA-based therapies across brain
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, microscopy, flow cytometry and cell culture. Relevant publications: Chhatbar et al., bioRxiv (2025): https://doi.org/10.1101/2025.11.14.688441 Watson*, Pantier* et al., Life Sci Alliance (2023) https://doi.org
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leukemia in children. We have several projects related to these general topics. Each focuses on gene regulation â“ and changes that occur in gene regulation â“ during stem cell development and
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features. Using our recently developed chromosome engineering approach, we have created isogenic stem cell lines that allow us to precisely isolate the effects of the chromosomal abnormality from other
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. Current approaches to vascularization include the co-culture of stem cells with endothelial cell lines. Furthermore, vascularization can be promoted by perfusing the cell culture with media and using
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, including single-cell genomics (Wright, Lloyd), sexual selection and reproduction (Wright, Pomiankowski, Hemmings, Wigby), gene editing (Dasmahapatra), experimental approaches (Wigby), and stalk-eyed fly
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
computational biologists at the UCSF Parnassus campus. The Specialist will be a valued laboratory member, creating novel bioengineered stem cell platforms, assisting with grant preparation, and contributing
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of Biomedical Engineering is looking for a Staff Associate III. This position is available in the Laboratory for Stem Cells and Tissue Engineering by Dr. Gordana Vunjak-Novakovic. We are looking for a highly
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modelling, stem cell biology (animal-/humanderived tissues), micro-physiological systems (MPS), organ-on-chip, zoonotic diseases, drug/vaccine testing and validation for zoonotic diseases, machine learning in