PNNL

Ryan is currently a Software Engineer in Research Computing (CIT Directorate). Within the Research Computing Division he is the team lead of the AI Workflows within the Compute group. Ryan is also currently the lead of the Infrastructure Subcommittee within the Center for AI, he also leads the HPC Documentation Activities and Training( DAT) offering. Ryan is on the leadership committee for the Energy Machine Learning Community (EML) as well as a participant in the ML Reading Group.   Current projects he helps run and or was involved in the creation are MLOps, rc-chat.pnnl.gov, Open On Demand, Documentation and Activities Training, HypernetX, Famous, Workload Mobility and Distributed Data Parallel.  

Most desirable skills: 

• CI/CD Development Github , Gitlab
• Containerization/Environment Management (Docker, Apptainer, Python, etc ...)
• Software release process pypi publishing, dockerhub, tagged versions
• HPC, Deception, Constance.
• Python, C++, Environment, Containers

Software Packages/ Projects Collaborated on: 

• HyKKT
• EXAGO
• Hypernetx
• ReSolve

Presentations:

PEARC2024

PEARC2023

Techfest 2024

Techfest 2023

Techfest 2022

    Background:

Papers:

Microneedle Patch-Mediated Treatment of Bacterial Biofilms

Acoustic disruption of tumor endothelium and on-demand drug delivery for cancer chemotherapy

Undergrad: Bachelors of Science in Intelligent Systems Engineering with Specialization in Bioengineering. 

Masters: Intelligent Systems Engineering with Specialization in Computer Engineering

First Day: 02/07/2022.

• Master of Science in Intelligent Systems Engineerin, Indiana State University
• Bachelor of Science in Intelligent Systems Engineerin, Indiana University Bloomington