CV
Basics
| Name | Zane Blood |
| Position | Cosmology PhD Student |
| zblood@caltech.edu | |
| Url | http://www.zaneblooddev.com/ |
Work
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2025.08 - Present Applied Physics PhD Student
California Institute of Technology
Currently using machine learning techniques to recover the lensing potential and the unlensed Cosmic Microwave Background fields from noisy lensed data in the flat sky approximation.
- Machine Learning
- High Performance Computing
- Cosmology
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2023.08 - 2025.07 Software Developer
Epic Systems Corporation
At Epic, I worked with common languages and technologies such as C#, TypeScript, React, SQL, Numpy, GIT, and SVN. One of my first projects involved migrating a client facing screen written in the legacy VisualBasic 6.0 code to the newer web framework. Afterwards, I helped co-develop one of our app's AI functionalities which extracted discrete data from free text radiological reports and was used to help detect and follow up on incidental cancerous findings.
- Web Migration
- Data Science
- Prompt Engineering
Education
Publications
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2023.06.28 Superconducting diode effect in quasi-one-dimensional systems
Physical Review B
The recent observations of the superconducting diode effect pose the challenge to fully understand the necessary ingredients for nonreciprocal phenomena in superconductors. In this theoretical work, we focus on the nonreciprocity of the critical current in a quasi-one-dimensional superconductor. We define the critical current as the value of the supercurrent at which the quasiparticle excitation gap closes (depairing). Once the critical current is exceeded, the quasiparticles can exchange energy with the superconducting condensate, giving rise to dissipation. Our minimal model can be microscopically derived as a low-energy limit of a Rashba spin-orbit coupled superconductor in a Zeeman field. Within the proposed model, we explore the nature of the nonreciprocal effects of the critical current both analytically and numerically. Our results quantify how system parameters such as spin-orbit coupling and quantum confinement affect the strength of the superconducting diode effect. Our theory provides a complementary description to Ginzburg-Landau theories of the effect.
Skills
| Scientific Computing | |
| JAX | |
| Numpy | |
| Pandas | |
| PyTorch | |
| Matlab | |
| Julia | |
| High Performance Computing | |
| Machine Learning |
| Software Development | |
| TypeScript | |
| JavaScript | |
| React | |
| C# | |
| MUMPS / Cache | |
| Bash | |
| SQL | |
| GIT | |
| SVN |
Interests
| Physics | |
| Cosmology / Astrophysics / Astroinformatics | |
| Physical Simulation | |
| High Performance Computing | |
| "Embarrassingly Parallel" Simulations | |
| Machine Learning |