John H.C. Fong

The paper develops a sequencing-based framework and a neural network model to predict plasmid propagation from sequence, revealing sequence-encoded interactions that influence plasmid stability and host compatibility.

This paper develops MTtrans, a multi-task learning model that identifies robust, generalizable cis-regulatory motifs in 5' UTRs by integrating diverse datasets, showing improved accuracy and cross-species transferability.