Chase Goddard

Graduate Researcher

New Jersey, United States
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Summary

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Senior
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Chase Goddard is a Princeton PhD researcher blending physics, computer science, and machine learning with a decade of research experience across academic and industry labs. His current work focuses on understanding generalization in ML, informed by a strong background in high-energy physics at Cornell and hands-on experience with the CMS experiment at CERN. Comfortable at the intersection of theory and applied data science, he has also brought analytical rigor to industry as a data science intern at BCG. Based in New Jersey, Chase combines experimental intuition from X-ray spectroscopy and particle physics with computational approaches to probe why models generalize, making him well suited for research-orientated roles that bridge physics and ML. A less obvious strength is his track record of moving between deeply experimental projects and abstract ML questions, giving him a rare perspective on bridging noisy real-world data with principled learning theory.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree Physics & Computer Science, Bachelor's degree Physics & Computer Science at Cornell University
bookRye Country Day School
bookPhD Physics, PhD Physics at Princeton University
languagesEnglish, Chinese
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Github contributions (5)

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Contributions:16 commits, 13 pushes, 1 branch in 5 years 6 months
Contributions:11 commits, 8 pushes, 1 branch in 4 months
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Chase Goddard - Graduate Researcher