Kyle Krick is a Research Software Engineer who leverages cyberinfrastructure to empower education and research in data science, artificial intelligence and machine learning. He is experienced in web development, cloud computing and software containers. Kyle is skilled in Python, Docker and Kubernetes. He is currently supporting education and research through JupyterHub and open source large language models on local and national high-performance computing resources.
Kyle Krick
CIP 🎓 Cohort 2023
SDSU
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Instructional Cluster Intro
Kyle Krick | 2023
This repository is designed to be an interactive introduction to the Instructional Cluster at San Diego State...
Containerization of QUICK
Kyle Krick | 2024
An open source, GPU enabled, *ab initio* and density functional theory program developed by Götz lab at University of California San Diego and Merz lab at Michigan State University. Features...
Documentation of Benchmarking of Containerized QUICK
Kyle Krick | 2024
This is a sphinx based documentation for QUICK QM package (https://github.com/merzlab/QUICK) developed by Götz lab at University of California San Diego and Merz lab at Michigan State University.
Benchmarking of Containerized QUICK
Kyle Krick | 2024
Scripts and results from benchmarking containerized [QUICK](https://github.com/merzlab/QUICK). The goal of this repo is to compare containerized QUICK to a local installation of QUICK on various...