Research Fellow at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
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Eric Moreno is a Research Fellow and machine learning physicist with eight years of experience applying advanced neural architectures to high-energy and gravitational-wave experiments. Based at MIT and collaborating with CERN, Fermilab, and LIGO, he builds and accelerates ML models—ranging from spiking neural networks on neuromorphic hardware to unsupervised detectors—that push discovery reach for the CMS experiment and LIGO. His work blends rigorous physics training (BS Caltech, PhD work at MIT) with production-minded engineering, including model optimization and automation for large scientific datasets. Earlier roles in national labs and DoD-aligned IT gave him practical systems, networking, and data-processing chops that inform his experimental ML solutions. Known for being “permanently in beta,” he pairs curiosity-driven research with a track record of shipping tools and analyses that improve measurement precision and sensitivity in flagship physics collaborations.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Physics and Artificial Intelligence, Doctor of Philosophy - PhD, Physics and Artificial Intelligence at Massachusetts Institute of Technology
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Eric Moreno - Research Fellow at Massachusetts Institute of Technology