Spencer Giddens
Postdoctoral Research Associate
South Bend, Indiana, United States
Summary
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Senior🎓
Top SchoolSpencer Giddens is a postdoctoral research associate and PhD-trained researcher with nine years of experience developing and deploying differential privacy and privacy-preserving machine learning methods across academia and industry. He has led projects in federated learning, Bayesian inverse problems, optimization, and NLP, producing open-source tools (including an actively maintained R package) and peer-reviewed publications. Spencer has translated theoretical advances into practical systems—implementing DP training for classifiers at SandboxAQ and prototyping differentially private market benchmarking that influenced product adoption at Aunalytics. He pairs rigorous proofs of algorithmic validity with clear communication, earning multiple “Best Presentation” awards and top teaching evaluations as instructor of record. Based in South Bend, he focuses on privacy for sensitive biometric and healthcare data, combining statistical depth with experience shipping reproducible code and persuading stakeholders.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Applied and Computational Mathematics and Statistics, Doctor of Philosophy - PhD, Applied and Computational Mathematics and Statistics at University of Notre DameMaster of Science (MS), Mathematics, Master of Science (MS), Mathematics at Brigham Young University
English, Spanish, Portuguese
Github Skills (2)
bayesian7
mathematics3
Programming languages (1)
Github contributions (5)
sgiddens/Lab-Development
Sep 2016 - Jan 2017
Contributions:19 pushes, 3 branches in 3 months
curriculumfoundationsmathematicsapplied-mathematicsapplied
sgiddens/DPpack
Apr 2023 - Oct 2024
Contributions:7 pushes, 1 comment in 1 year 6 months
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