Christopher Bumgardner is a data scientist and PhD mathematician with 14 years of experience applying rigorous theory to practical AI and computational problems, currently at Ginkgo Bioworks. He moved from quantum information research into industry work on privacy-preserving ML, including building homomorphic-encryption pipelines and encrypted clinical predictors during an AI fellowship. His background spans building production-ready PyTorch platforms, containerized deployments, and novel signal-processing models such as LSTM pipelines for infant accelerometer data and a custom fractal-dimension annotation tool. Comfortable teaching at the university level, he pairs deep mathematical intuition with hands-on engineering—whether prototyping outdoor gear or disassembling cars—to rapidly learn new domains and ship tangible solutions.
14 years of coding experience
3 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of California, Davis
B.S, Mathematics, B.S, Mathematics at Binghamton University (SUNY Binghamton)
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