I am a Machine Learning Engineer at Patreon, working on large-scale recommendation systems. I earned a PhD from the University of California, Irvine, where I researched machine learning, data fusion, and uncertainty quantification for computational science and engineering.

Carlos Mora Sardiña, PhD

I am a Machine Learning Engineer at Patreon, working on large-scale recommendation systems focused on relevance and discovery.

I earned my PhD at the University of California, Irvine, where I developed probabilistic machine learning methods for modeling complex systems across diverse scientific and engineering domains. My doctoral research was supported by the Balsells fellowship. You can find my publications here.

I am driven to build machine learning solutions that integrate knowledge from multiple disciplines and data modalities to solve real-world problems.

Recent news

  • February 2026: Joined Patreon as a Machine Learning Engineer.
  • November 2025: I successfully defended my PhD dissertation, titled Hybrid Gaussian Process and Deep Learning Frameworks for Computational Science and Engineering. This work introduces novel hybrid models that combine the complementary strengths of GPs and DL architectures for (1) solving problems involving PDEs, (2) learning operators, and (3) modeling nonstationary functions.
  • August 2025: SEEK received a Paper with Distinction at IDETC-CIE 2025.
  • June 2025: I started a Machine Learning Engineering internship at Patreon.
  • March 2025: Released a new preprint on SEEK, a novel framework for nonstationary kernel learning in Gaussian Processes.