The group also develops and utilizes different single-cell profiling methods such as time-lapse imaging, transcriptomics (scRNA-seq), chromatin accessibility (scATAC-seq), multi-omics and spatial transcriptomics, alongside development of computational approaches for inferring regulatory networks and large-scale analysis of bulk and single-cell sequencing data.
Our science and team is highly collaborative and interdisciplinary, and we welcome cross-disciplinary projects and members with varied competences in relevant fields.
Want to join the group?
We plan to hire at all levels! If you are interested in our research (experimental, computational or both), send an email with your CV and a cover letter describing your interests.
E-mail Kedar Natarajan