David is a Ph.D. student in the Greene Lab through Penn’s Genomics and Computational Biology (GCB) PhD Program. David graduated from University of Maryland Baltimore County in 2015 with a B.S. in Computer Science and minor in Bioinformatics. He joined the lab in summer 2017. He was awarded a T32 Training Grant. His research interests include machine learning with a focus on deep learning methods, natural language processing (NLP) and network analysis. Currently, his work focuses on using a publicly available resource called Hetionet, which is a heterogeneous network that contains pharmacological and biological information. He recently submitted a manuscript that involved evaluating a text mining framework that to quickly scale up Hetionet.
David Nicholson's papers with the Greene Lab