Supervisor Robin Andersson

Project Areas:

1. Developing machine learning models to learn the sequence determinants of regulatory activity
2. Implementing efficient computational methods to identify regulatory elements and their activities based on transciption initiation data
3. Developing computational frameworks for assessing regulatory activities and enhancer-gene regulatory interactions in single cells
4. Applying computational methods developed in the lab or elsewhere to assess regulatory activities in specific biological systems or to derive atlas-scale data for further analyses
5. Developing computational frameworks for variant-to-function analysis

If you are interested in doing a MSc thesis or Bioinformatics project, send an email to Robin to arrange a meeting for discussing research interests.