Summary
Nuala Mccullagh is a data scientist with a decade of experience bridging academic cosmology and industry analytics, currently applying statistical and programming expertise at Meta. She holds a PhD in Cosmology from Johns Hopkins and transitioned from a Durham University postdoc into data science fellowships and product-focused roles, blending rigorous research with production insights. Proficient in Python, MATLAB, and C, she excels at translating complex quantitative models into actionable business metrics. Based in New York, she brings deep experience in statistical inference, large-scale data analysis, and experimental design. Unusually for an industry data scientist, she retains an active researcher's mindset—comfortable deriving novel methods from first principles and validating them on real-world systems. This combination enables her to navigate ambiguous problems where theory and messy data meet.
10 years of coding experience
Johns Hopkins University
Bachelor's degree, Physics and Astronomy, Bachelor's degree, Physics and Astronomy at University of Pennsylvania
English