Published paper 'HDBind: encoding of molecular structure with hyperdimensional binary representations' with co-authors including Derek Jones, Xiaohua Zhang, Brian J Bennion, etc., in Sci. Rep. 2024.
Research Experience
PhD research at the Systems Energy Efficiency (SEE) Lab at UC San Diego, focusing on molecular representation learning using physics-informed learning algorithms and HPC. Mentored by Dr. Jonathan E. Allen at Lawrence Livermore National Laboratory (LLNL).
Education
Graduated from the University of Kentucky in May 2018 with an M.Sc. in Computer Science, focusing on Machine Learning/Deep Learning and its applications to Computational Biology and Drug Discovery, advised by Dr. Nathan Jacobs (now at WashU) and Dr. Sally R. Ellingson.
Background
Research Interests: Molecular representation learning, physics-informed learning algorithms, and high-performance computing (HPC); Field: Computer Science; Bio: PhD candidate in the Department of Computer Science at the University of California, San Diego, advised by Dr. Tajana S. Rosing and Dr. Niema Moshiri, and mentored by Dr. Jonathan E. Allen of Lawrence Livermore National Laboratory (LLNL).