The Data Science Institute is pleased to announce a research team led by Drs. Xiaoxiao Li (Electrical and Computer Engineering) and Gang Wang (Pathology and Laboratory Medicine) has been awarded the Postdoctoral Matching Fund from the DSI. This project aims to develop an end-to-end automatic deep learning-based cervical cancer screening pipeline that requires less labelling and addresses challenges in multi-institutional learning.

With the postdoctoral funding award from the Data Science Institute, Dr. Joerg Gsponer (Biochemistry and Molecular Biology) aims to establish and benchmark a technology pipeline for the development of Machine-Learned Interatomic Potentials (MLIPs) for Intrinsically Disordered Proteins (IDPs), thereby establishing a pathway to close a huge methodology gap that currently prevents significant progress in many areas of biochemistry and biomedicine.