Alex Morehead
Hopper Postdoctoral Fellow
National Energy Research Scientific Computing Center (NERSC)
Science Engagement & Workflows Dept.
Data & AI Services Group
Alex Morehead is a Hopper Postdoctoral Fellow in the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory. Alex is broadly interested in machine learning, deep learning, computational biology, and generative modeling. Prior to joining Berkeley Lab, Alex earned a Ph.D. degree from the University of Missouri in the Department of Electrical Engineering and Computer Science.
Education
PhD - University of Missouri, United States
BS - Missouri Western State University, United States
Recent Publications
Protein‐Ligand Structure and Affinity Prediction in CASP16 Using a Geometric Deep Learning Ensemble and Flow Matching
Authors: Morehead, A; Liu, J; Neupane, P; Giri, N; Cheng, J
January 2026, Proteins: Structure, Function and Bioinformatics
FlowDock: Geometric flow matching for generative protein–ligand docking and affinity prediction
Authors: Morehead, A; Cheng, J
July 2025, Bioinformatics
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction.
Authors: Morehead, A; Cheng, J
March 2025
Assessing the potential of deep learning for protein–ligand docking
Authors: Morehead, A; Giri, N; Liu, J; Neupane, P; Cheng, J
January 2026, Nature Machine Intelligence
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