Alexander Moore
AI Research Scientist at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Moore is an AI research scientist with eight years of experience translating advanced machine learning into practical chemical and sensor applications, now based at Lawrence Livermore National Laboratory. He holds a PhD in Data Science from WPI and has a strong publication record on zero-shot learning, generative models, and multivariate time series classification for chemical sensing and vision problems. His work blends multitask and transfer learning, adversarial generative techniques, and domain adaptation to tackle out-of-distribution detection and early classification in challenging sensor domains. Comfortable across Python, PyTorch, CUDA and HPC environments, he pairs rigorous academic research with hands-on engineering to deploy models in real-world sensing pipelines. Notably, he applied zero-shot and semantic transfer methods to chemical detection—an uncommon cross-pollination of NLP-style ideas into molecular sensing.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at Worcester Polytechnic InstituteMathematics and Statistics, Mathematics and Statistics at Reed CollegeGithub contributions (5)
alexander-moore/CS541_Group
Feb 2021 - Jul 2021
Contributions:56 commits, 54 pushes, 1 branch in 4 months
alexander-moore/alexander-moore.github.io
Jul 2021 - Oct 2024
Contributions:156 pushes, 1 branch in 3 years 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.