Shehu conducting collaborative research on deep learning & experimentation for property-controlled molecule generation
Amarda Shehu, Associate Vice President of Research, Institute for Digital Innovation (IDIA); Associate Dean for AI Innovation (CEC); Professor, Computer Science, received funding for the project: "Collaborative Research: IIBR: Innovation: Bioinformatics: Linking Chemical and Biological Space: Deep Learning and Experimentation for Property-Controlled Molecule Generation."
This project advances property-controlled molecule generation. A key insight propelling property-controlled molecule generation is that machine learning models need to be situated in biological data and knowledge.
The research activities for this project ...










