Summary
Christina Heidt is a Data Science Manager with 14 years of experience applying advanced statistical modeling and machine learning to real-world problems, currently leading the Data Science Product Team at Swish Analytics to build predictive products for fans, bettors, and fantasy players. With a Ph.D. in particle physics and a background in accelerator experiments and Monte Carlo simulation, she brings rigorous experimental design and simulation expertise to sports analytics product development. She progressed from data scientist to head of team at Swish, shipping production-grade models and new betting markets that blend real-time data with creative statistical methods. Christina’s work uniquely combines research-grade quantitative rigor with a product-first mindset, making complex models accessible and fun to use. Outside of work she’s an avid 49ers fan and city explorer, often finding inspiration for product ideas in the energy of live sports and local food scenes.
14 years of coding experience
13 years of employment as a software developer
None Physics, None Physics at Imperial College London
PhD Physics, PhD Physics at University of California, Riverside
Master of Science (MS) Condensed Matter and Materials Physics, Master of Science (MS) Condensed Matter and Materials Physics at Indiana University of Pennsylvania
English