Joseph Tatro
Senior Machine Learning Engineer at Wayfair
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJoseph Tatro is a Senior Machine Learning Engineer with an Applied Mathematics PhD and eight years of experience bridging geometric theory and practical computer vision. He led a DARPA-funded Geometries of Learning effort, directing research into trustworthiness, diffusion-based defenses, and geometry-aware neural architectures for 3D scenes and meshes. His work blends analysis of parameter-space geometry and data manifolds with hands-on engineering—building custom convolution functions and network layers and improving NeRF training pipelines for airborne imagery. Comfortable in Python, MATLAB, C++, Java, and PyTorch/OpenCV, he pairs rigorous academic research (including a NeurIPS paper) with mentorship experience and industry delivery. Based in Boston, he brings a rare mix of theoretical depth and applied system-building that surfaces in both adversarial-robustness defenses and generative-AI research.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at The University of Texas at AustinDoctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at Rensselaer Polytechnic Institute
English
Github Skills (3)
tbd7
machine-learning3
deep-learning2
Programming languages (1)
Github contributions (5)
tatron/tatron.github.io
Mar 2019 - Oct 2020
Contributions:145 pushes, 1 branch in 1 year 7 months
IBM/NeuronAlignment
Sep 2020 - Dec 2020
Codes for the paper "TBD"
Contributions:3 commits, 3 pushes in 3 months
deep-learningmachine-learningtbd
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