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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About Me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
presentations
Identifying Governing ODEs in Irregular Physical Domain with Diffusion
Published:
Poster at 64th Annual Meeting of the American Physical Society Division of Plasma Physics. Abstract available here.
Influence of Initial Conditions on Data-Driven Model Identification for Ideal MHD Test Problems
Published:
Poster at 50th IEEE International Conference on Plasma Science (ICOPS). Abstract available here.
Successes and Challenges Using a Data-Driven Model Selection Algorithm on Plasma Simulations
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Presentation during diagnostic and computational techniques session at Dense Z-Pinch Conference. Abstract available here.
Successes and Challenges Using a Data-Driven Model Selection Algorithm on Plasma Simulations
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Presentation in Data Science/Machine Learning session at Z Fundamental Science Program Workshop.
Influence of Initial Conditions on Data-Driven Model Identification for Ideal MHD Test Problems
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Poster at annual CHaRMNET meeting.
Learning Plasma Fluid Equations via Data-Driven Model Identification
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Invited presenter for MSU’s AIDMM-NRT scientific machine learning workshop.
Data-Driven Recovery of Hammett-Perkins Closure from Particle Data
Published:
Presentation in Theory and Data Science/Machine Learning session at Z Fundamental Science Program Workshop.
Influence of Initial Conditions on Data-Driven Model Identification for Ideal MHD Test Problems
Published:
Poster at 5th International Conference on Data Driven Plasma Science (ICDDPS).
Data-Driven Recovery of Hammett-Perkins Closure from Particle Data
Published:
Poster at 66th Annual Meeting of the American Physical Society Division of Plasma Physics. Abstract available here
Quantifying Hall Conductivity using Data-Driven Model Identification
Published:
Presentation at 66th Annual Meeting of the American Physical Society Division of Plasma Physics. Abstract available here
Quantifying Hall Conductivity of the Inner MITL on Z
Published:
Presentation at Pulsed Power and Plasma Science Conference (PPPS): combined 25th IEEE Pulsed Power Conference (PPC) and the 52nd IEEE International Conference on Plasma Science (ICOPS). Abstract available here
Quantifying Hall Conductivity of the Inner MITL on Z
Published:
Presentation in Magnetized HED/Z-pinch session at Z Fundamental Science Program Workshop.
publications
Developing and applying quantifiable metrics for diagnostic and experiment design on Z
Published in Technical Report, 2023
Developing and applying quantifiable metrics for diagnostic and experiment design on Z
Influence of initial conditions on data-driven model identification and information entropy for ideal mhd problems
Published in Journal of Computational Physics, 2025
Published in the Journal of Computational Physics here.
teaching
Graduate Teaching Assistant
Class, Michigan State University, Computational Mathematics, Science, and Engineering, 2022
Computational Modeling and Data Analysis II
- Explain key concepts of
- coding in python
- data structures
- command line interfaces and version control
- Grading
- Office Hours
Graduate Teaching Assistant
Class, Michigan State University, Computational Mathematics, Science, and Engineering, 2024
Computational Modeling and Data Analysis I
- Explain key concepts of
- algorithmic thinking
- data visualization
- numerical methods
- Grading
- Office Hours