Scholar
Carlos Mora
Google Scholar ID: rV9jYDoAAAAJ
PhD Candidate @ University of California, Irvine
Citations & Impact
Citations
97
H-index
6
i10-index
4
Publications
12
Co-authors
0
Resume
Academic Achievements
- Paper 'SEEK' received a Paper with Distinction award at IDETC-CIE 2025; Paper 'Operator learning with Gaussian processes' published in Computer Methods in Applied Mechanics and Engineering; Paper 'A gaussian process framework for solving forward and inverse problems involving nonlinear partial differential equations' published in Computational Mechanics; Successfully defended candidacy exam, PhD thesis titled 'Integrating Deep Learning with Gaussian Processes for Scientific Computing'.
Research Experience
- Develops probabilistic machine learning methods to model complex systems across various scientific and engineering domains; Started a machine learning engineering internship at Patreon in June 2025.
Education
- PhD: University of California, Irvine, Computational Science and Engineering; BSc: Polytechnic University of Catalonia, Aerospace Engineering (with honors).
Background
- PhD candidate at the University of California, Irvine, specializing in computational science and engineering. Research interests include machine learning, data fusion, and uncertainty quantification.
Miscellany
- Awarded the Balsells fellowship; Gave a talk on neural operators and Gaussian Processes for operator learning at the CRUNCH seminar.