In our laboratory we employ a variety of systems based approaches to study gene expression regulation.
  • We study the role of DNA and RNA binding proteins and their molecular partners in fine tuning the human gene expression regulation.
  • We develop computational approaches, including machine learning and other network based algorithms, towards identifying novel proteins and long non-coding RNAs involved in human pluripotency and differentiation.
  • We establish and conduct high throughput experimental approaches, such as RNA-seq, single cell RNA-seq, CLIP-seq, ChIP-seq etc., to study the cross talk between transcriptional and post-transcriptional pathways in human embryonic stem cells.
Open positions for excellent MSc/PhD students (details)