CV

Basics

Name Zane Blood
Position Cosmology PhD Student
Email zblood@caltech.edu
Url http://www.zaneblooddev.com/

Work

  • 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
  • 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

  • 2025.08 - Present

    Pasadena, CA

    PhD
    Caltech
    Physics
  • 2020.08 - 2023.05

    Ithaca, NY

    B.A.
    Cornell University
    Physics

Publications

  • 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