Research topics:
1) Optimization of genomic analysis algorithms to decrease the environmental footprint of high performance computing.
2) Prediction of genomic alterations through gene expression and machine learning.
3) Development of computational methods to infer gene regulatory networks.
4) Single Cell RNA-Seq to investigate tumor heterogeneity.
5) Inference of protein activity from gene expression data (master regulator inference analysis).
6) Neuroblastoma research: Role of ABC transporters in tumor progression and drug resistance; copper metabolism and immune-evasion.
