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Jonathan Jenkins

Jonathan Jenkins

CTO and mathematician specializing in machine learning

jtjenkins
Scranton, Pennsylvania, USA
Joined February 2026
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Network

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YC Startup Founders
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Math to AI Quant
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Summary

Published mathematician with research spanning analysis and computational methods, contributing to both pure-analysis results and applied machine-learning techniques. google+2
Transitioned from academic research into startup engineering leadership, taking on the CTO role at Misprint to build ML-driven pricing and marketplace infrastructure. fondo+1
Technical focus on machine learning, computational mathematics, and model/pruning techniques (e.g., RMT-SVD) for improving model generalization and performance. arxiv+1
Held teaching and research roles at Carnegie Mellon University during graduate and undergraduate study, indicating experience in both instruction and domain research (including fluid dynamics work). rocketreach+1

Work

Education

Writing

Complex Hanner's Inequality for Many Functions

April 1, 2024

Establishes Hanner's inequality for arbitrarily many functions in the setting where the Rademacher distribution is replaced with higher-dimensional random vectors uniform on Euclidean spheres; published in Israel Journal of Mathematics.

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Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting

March 1, 2023

Proposes using random matrix theory (RMT) techniques and SVD-based methods to determine which and how many singular values to remove from neural network weight layers during training to reduce overfitting and improve accuracy.

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