Kyle Beggs

Kyle Beggs has a diverse work experience in the field of computational physics and engineering. Kyle is currently working as a Software Engineer (Computational Physics) at metalenz since November 2022. Prior to this, they worked as a Ph.D. Candidate at the University of Central Florida from July 2019. Their research focused on improving numerical methods schemes, including Meshless Methods for Computational Fluid Dynamics (CFD) and reduced basis models using Proper Orthogonal Decomposition with Radial Basis Functions (POD-RBF).

Kyle also worked at Dassault Systèmes in 2019, where they served as a Machine Learning Developer - Contractor from August to December. Kyle used machine learning techniques to automatically segment medical images. Kyle also worked as a Computational Physics Developer - Intern where they developed a new tool for Cardiovascular disease diagnostics.

Before joining Dassault Systèmes, Kyle worked at the University of Central Florida as a Graduate Research Assistant from May 2017 to December 2018. Their research involved applying tightly-coupled multiscale 0D-3D computational fluid simulations to test the efficacy of new surgical procedures for Congenital Heart Disease (CHD) patients. Kyle also served as a Graduate Teaching Assistant and an Undergraduate Teaching Assistant for a Numerical Methods course. Additionally, they worked as an Undergraduate Research Assistant and was a member of the Powertrain Team, where they gained experience in the field of engineering.

Kyle Beggs completed their Bachelor's Degree in Mechanical Engineering / Biomechanics Engineering from the University of Central Florida, where they attended from 2012 to 2016. In 2012, they also obtained a SolidWorks Certified Associate certification. No information is provided about the institution from which they obtained this certification.