Research

Interpretable AI for RNA therapeutic design

I build sequence models to understand splicing regulation and predict how to modify it.

Centriole cross-section schematic Nine connected microtubule triplet profiles arranged around a central cartwheel.

Prioritizing ASOs before screening

Antisense oligonucleotide screening is costly. I use computational predictions to prioritize target sites and guide experiments that test how candidate ASOs affect splicing.

Rare disease genetics

Identifying how disease-associated variants disrupt RNA processing.

Model interpretation

Connecting predictions to sequence features and testable mechanisms.

Selected publications

Google Scholar
ASO tiling screen and in silico design around SMN2 exon 7, highlighting the top nominated oligo and candidates ruled out by biophysical screening