Area of research
Molecular Biology · Cell Biology
Research interest
Research focused on Python (programming language) and Inference, with related work in Computational biology, Ubiquitin ligase, Intrinsically disordered proteins. Notable publications include 'The EVcouplings Python framework for coevolutionary sequence analysis', 'Pan-cancer genetic analysis identifies PARK2 as a master regulator of G1/S cyclins', and 'Structured States of Disordered Proteins from Genomic Sequences'.
The EVcouplings Python framework for coevolutionary sequence analysis
Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks
Structured States of Disordered Proteins from Genomic Sequences
Pan-cancer genetic analysis identifies PARK2 as a master regulator of G1/S cyclins