Paul Jason Mello

PhD Student
Computer Science and Engineering

"All is flux."
- Heraclitus

mello.pauljason@gmail.com

Research Interests

Machine, Reinforcement, and Deep Learning.
Information, Optimization, and Category Theory.
Geometric and Manifold Methods.

About Me

Hi, I'm Paul! A PhD student at the University of Nevada, Reno researching the fundamentals of artificial intelligence. My passion is extracting, optimizing, and generalizing the fundamentals of AI systems through the lens of information. Currently, I am developing methods for improving model generalization in high-dimensional feature manifolds where observational samples are limited.

For collaborations or questions, feel free to reach out via my email or socials.

Blogs

[ESN Research] Echo State Networks [November 1, 2025]
[LTCN Research] Liquid Time-Constant Networks [June 2, 2025]

[SNN Research] Sheaf Neural Networks [May 19, 2025]

[Thoughts On] Tweedie's Formula [May 16, 2025]

[Noise Research] Perturbation Driven Generalization [May 5, 2025]

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Projects

[Fourier Research] Fourier Transforms [Janurary 12, 2026]
[ESN Implementation] Echo State Networks [November 1, 2025]

[Attention Research] Transformer Attention Bench [October 29, 2025]

[Matrix Research] Random Matrix Theory [August 29, 2025]

[Gating Research] Gated Cell Networks [July 15, 2025]

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Publications

[Master's Thesis] An Exploration of Information Processing in Diffusion Models [August 16, 2024]
[IEEE Publication] Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems [April 12, 2024]

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Education

PhD in Computer Science and Engineering - University of Nevada, Reno Fall 2024 - Present
MSc in Artificial Intelligence - San José State University Fall 2021 - Spring 2024
BSc in Computer Science - California State University, Sacramento Fall 2016 - Spring 2021
- Minors: Mathematics, Philosophy