Daniel Packer

Daniel Packer is a PhD student in applied mathematics at The Ohio State University, focusing on solving real-world problems in robust and precise ways within data science and computation. Currently, they serve as a Senior Machine Learning Model Risk Specialist at Upstart, where they leverage their expertise to manage ethical, financial, and regulatory risks associated with machine learning models. Previously, Daniel worked as a Data Scientist at Nationwide and completed a summer research internship at MINED XAI, developing methods for interpretable classifications of EKG readings. They also contributed to the mathematical formalization library mathlib, enhancing the intersection of formal verification and machine learning.