Bhavana Bhat
Associate Research Specialist @Children's Hospital Los Angeles (CHLA)
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WORK HISTORY
Associate Research Specialist @Children's Hospital Los Angeles (CHLA)
Los Angeles, CA, US
Designed and executed cell engineering experiments, including molecular cloning and CRISPR-Cas9 gene editing (plasmid- and RNP-based), to induce targeted somatic copy number alterations in iPSCs- Cultured mammalian cell lines (HEK293T) and induced pluripotent stem cells (iPSCs), and generated iPSC-derived retinal organoids for disease modeling and functional studies- Transfected mammalian cell lines, iPSCs, and 3D organoids for genomic knock-in experiments using Neon electroporation, Lipofectamine-based transfection, and lentiviral transduction- Prepared single-cell RNA-seq libraries using Bio-Rad ddSEQ 5′ RNA-seq and bulk RNA-seq libraries with Takara Bio SMART-Seq v4, and performed downstream single-cell RNA-seq data analysis and visualization in R and Python- Routinely applied a broad range of validation techniques, including DNA/RNA and protein isolation, confocal microscopy, PCR, western blotting, flow cytometry, FACS, gel electrophoresis, qPCR, Immunohistochemistry, and imaging- Managed inventory tracking and supply ordering to support daily research operations
EDUCATION
University of Southern California
Master of Science - MS, Biomedical Engineering
JSS SCIENCE AND TECHNOLOGY UNIVERSITY
Bachelor of Engineering - BE, Biotechnology
ABOUT BHAVANA BHAT
Hello! I’m a biomedical researcher at Children’s Hospital Los Angeles, passionate about understanding the molecular mechanisms driving diseases. My work focuses on designing and executing CRISPR-Cas9 experiments to induce targeted genetic changes in induced pluripotent stem cells (iPSCs) and developing iPSC-derived retinal organoids for disease modeling and functional studies.Alongside my lab work, I have extensive experience preparing single-cell and bulk RNA sequencing libraries and analyzing complex transcriptomic datasets using R and Python. I enjoy integrating experimental biology with computational analysis to uncover genetic pathways that inform new research.I’m always eager to connect with others interested in stem cell biology, genetic engineering, and data analysis!
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