Drew earned his PhD from the Joint Carnegie Mellon University–University of Pittsburgh Program in Computational Biology. He specializes in representation learning for protein–ligand interactions, with a focus on structure-based methods. His work spans virtual screening, molecular docking, and binding-affinity prediction. Drew is first author of GNINA 1.0: Molecular Docking with Deep Learning, one of the earliest rigorous evaluations of convolutional neural network scoring functions within modern docking pipelines.