Area of research
Molecular Biology · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Computational biology and Software deployment, with related work in Deep learning, Convolutional neural network, Protein superfamily. Notable publications include 'Deep learning-enabled medical computer vision', 'Large language models generate functional protein sequences across diverse families', and 'Fast and accurate view classification of echocardiograms using deep learning'.
Large language models generate functional protein sequences across diverse families
ProGen2: Exploring the boundaries of protein language models
A language model beats alphafold2 on orphans
Deep learning-enabled medical computer vision
Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
Fast and accurate view classification of echocardiograms using deep learning