Computer science student and machine learning researcher focused on scientific ML, uncertainty quantification, and high-performance computing. My work connects large-scale simulation data, reproducible ML pipelines, and uncertainty-aware modeling for scientific applications.
| Platform | Link |
|---|---|
| Portfolio | robertxpearce.com |
| robert-d-pearce | |
| ORCID | 0009-0004-5143-8747 |
| PyPI | robertxpearce |
reionemu— Python package for emulating the kSZ angular power spectrum from reionization simulations.Quorum iOS Accessibility— Senior design work focused on improving accessibility support for blind and visually impaired iOS developers.
- Machine Learning
- Uncertainty Quantification
- Interpretability
- Scientific Computing
- Research Software Engineering
- GPU/Supercomputing
