Projects in my lab range broadly along the lines of:
1) Data analysis and benchmarking using direct RNA-sequencing datasets for analysing RNA modifications.
2) Testing approaches for charactering editing events at single-cell resolution.
3) Deep learning for RNA modification prediction from RNA sequence.
Update May 2025: I have a range of projects suitable for the summer and fall. Please get in touch regarding your more specific research interests.
Students typically come to my lab interested in transcriptomic data analysis, RNA biology, gene regulation and statistical modelling and deep learning based on these topics.
A few examples fo past projects
A-to-I editing for long-read sequencing data
Neural networks for investigating sequence determinants of N6-methyladenosine
Benchmarking tools for detection of A-to-I RNA-editing
Transcriptome-wide analysis for Parkinson’s individuals
Signatures of post-transcriptional gene regulation from single-cell RNA-sequencing atlases
Rennie lab 