Dexter Antonio is a Senior Software Engineer in South San Francisco with nine years of experience applying data science and machine learning to R&D and manufacturing domains. He has progressed from research and teaching roles in chemical engineering to data science and ML scientist positions, now shipping software at Noetik that bridges models and production systems. Dexter combines a strong academic foundation (MS Chemical Engineering, Columbia BS) with hands-on experience at biotech and pharma companies like Genentech and Herophilus, giving him domain fluency in life-science applications. Colleagues rely on him to turn experimental insights into robust tooling for production, and he brings a rare blend of chemical engineering intuition and software engineering discipline to solve complex process and data problems.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Chemical Engineering, Master of Science - MS Chemical Engineering at University of California, Davis
Bachelor of Arts - BA Chemistry, Bachelor of Arts - BA Chemistry at University of Puget Sound
Bachelor of Science - BS Chemical Engineering, Bachelor of Science - BS Chemical Engineering at Columbia University
This project aims to extend the Atomic Simulation Environment (ASE) to more naturally represent the properties of zeolites and facilitate the calculations required to determine their properties.
Contributions:2 releases, 319 commits, 71 PRs in 1 year 3 months
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