I am interested in computational approaches for analysing proteomic, single-cell, RNA seq, WGS data.

I am passionate in applying cutting edge computational approaches – pipeline development, statistical inference, machine learning, deep learning, bioinformatics, full stack web development, multi-omics to investigate human genetics. In my PhD I developed deep learning approaches to predict novel bioactives.

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