Austin Ellis
M.S. Chemistry candidate at CSU Northridge
Computational materials chemistry with an ML-first workflow
I build high-throughput computational pipelines for materials discovery, with an emphasis on 2D materials, high-pressure chemistry, and machine-learning acceleration of electronic-structure methods.
2D materials
High-pressure chemistry
Machine learning for DFT
HPC automation
About Me
Graduate Research Assistant, Miao Lab (CSUN), working at the intersection of computational chemistry and scientific machine learning.
Current Focus
Designing robust, GPU-enabled workflows for automated electronic-structure calculations and data-driven model development across chemically diverse systems.
- Building physics-inspired neural networks for accurate, transferable chemical property prediction
At a Glance
- Role: Graduate Research Assistant, Miao Lab
- Education: M.S. Chemistry (2023-2026), B.S. Pharmacological Chemistry (UCSD, 2022)
- Technical: Python, PyTorch, high-throughput DFT, HPC administration
- Location: Los Angeles, California