Cody Aldaz is a data scientist and computational chemist who applies machine learning to drug discovery, currently developing models for small-molecule neuroscience therapeutics at Acelot. With a PhD in chemistry from the University of Michigan and postdoctoral and fellowship experience at Stanford, he bridges quantum chemistry, graph-based molecular design, and NLP-driven literature mining to accelerate hit discovery through lead optimization. His toolkit includes graph neural networks and diffusion models for molecular design, ADME-Tox prediction, and scalable reaction-path software like pyGSM and Reaction Template Studio born from his reaction-discovery work. Comfortable shipping scientific software and mentoring teams, Cody excels at turning deep mechanistic insight into practical ML tools that reveal underexplored targets and chemistries.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at University of Michigan
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at The University of New Mexico
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