Pooja Bhat is a bioinformatics scientist with 11 years of experience bridging molecular biology and computational analysis, currently contributing to Guardant Health from San Francisco. Trained with a PhD at IMBA and postdoctoral work at UCSF, she specializes in single-cell sequencing, RNA velocity, lineage tracing, and CRISPR-based functional studies. Her background spans academic and industry settings across Europe and the US, including method development for metabolic labeling in droplet-based single-cell assays. She has applied statistical frameworks to immune repertoire and reproductive outcomes during her ETH Zurich training, showing a strong quantitative foundation beyond wet-lab expertise. Known for mentoring students and building analysis tools for zebrafish lineage tracing, she combines hands-on experimental work with Python and R-driven bioinformatics. Pooja’s blend of translational focus and deep technical breadth positions her to move complex single-cell techniques toward clinical and discovery applications.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Molecular Biology, Doctor of Philosophy - PhD, Molecular Biology at University of Vienna
Master's degree, Systems biology and Biotechnology, Master's degree, Systems biology and Biotechnology at Eidgenössische Technische Hochschule Zürich
Bachelor of Engineering (B.E.), Biotechnology, Bachelor of Engineering (B.E.), Biotechnology at PESIT
3´-terminal Gene Annotation from mRNA 3´End Sequencing datasets
Contributions:89 commits, 6 PRs, 3 pushes in 8 months
sequencinggenomicsbioinformaticsmrnagene
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