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Research

Machine Learning and Bioinformatics

My current research interests are in developing machine learning and computational methods for a variety of bioinformatics problems in genomics and proteomics.

Machine Learning:

Deep learning
Word embeddings
Explainable AI (XAI)

Proteomics:

Protein-protein interaction prediction
Protein interaction-site prediction
Hot-spot prediction
Alignment of biological networks.

Genomics:

Algorithms and software for next generation sequencing (NGS) data
Genome assembly
Read correction
Read mapping
Genomic variation detection
DNA oligonucleotide design

String Algorithms

I am as well interested in fundamental research in stringology, both in algorithms and combinatorics of strings.