Derek Jones

Global Security Computing Applications Division

Lawrence Livermore National Laboratory

Computer Science and Engineering Dept.

University of California, San Diego

Hi, I’m (William) Derek Jones.

I am a PhD candidate in the Department of Computer Science at University of California, San Diego in the Systems Energy Efficiency (SEE) Lab where I am advised by Dr. Tajana S. Rosing and Dr. Niema Moshiri and mentored by Dr. Jonathan E. Allen of Lawrence Livermore National Laboratory (LLNL). My research is focused on molecular representation learning using physics-informed learning algorithms and high performance computing (HPC). I am thankful to have been awarded a UC National Laboratory FEES Research fellowship to support my PhD work.

I graduated from the University of Kentucky in May of 2018 where I earned an M.Sc. in Computer Science with a research focus in Machine Learning/Deep Learning and its applications to Computational Biology and Drug Discovery with the help of HPC. I was advised by Dr. Nathan Jacobs (Computer Science, now at WashU) and Dr. Sally R. Ellingson (Biomedical Informatics).

selected publications

  1. HDBind: encoding of molecular structure with hyperdimensional binary representations
    Jones, Derek, Zhang, Xiaohua, Bennion, Brian J, Pinge, Sumukh, Xu, Weihong, Kang, Jaeyoung, Khaleghi, Behnam, Moshiri, Niema, Allen, Jonathan E, and Rosing, Tajana S
    Sci. Rep. 2024
  2. Accelerators for Classical Molecular Dynamics Simulations of Biomolecules
    Jones, Derek, Jonathan, Allen E, Yang, Yue, Bennett, W F D, Gokhale, Maya, Moshiri, Niema, and Rosing, Tajana
    J. Chem. Theory Comput. 2022
  3. Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference
    Jones, Derek, Kim, Hyojin, Zhang, Xiaohua, Zemla, Adam, Stevenson, Garrett, Bennett, W F Drew, Kirshner, Daniel, Wong, Sergio E, Lightstone, Felice C, and Allen, Jonathan E
    J. Chem. Inf. Model. 2021