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, condensed-matter theory, 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.
- Template-guided ML for complex superhydride discovery
- Symmetry-aware prediction of electron localization functions
- Pressure-driven reactivity and bonding behavior in deep-Earth systems
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