Experience

Rice University

• United States
• Higher Education
• 700 & Above Employee

• Chan Lab Undergraduate Researcher

  • Dec 2020 - Present

  I am currently improving the data visualization capabilities within the coding language Julia.

• Higgs Lab Undergrate Researcher

  • Aug 2020 - Dec 2020

  In the fall of 2020, I learned about pre- and post-processing in computational fluid dynamics research. Namely, I became familiar with both softwares that can create finite-element meshes for various geometries and visualization softwares that can properly display the results of a simulation. Using these skills, I worked with a pre-processing meshing software in order to generate an improved mesh from a deformed mesh at a given timestep.

• Naik Lab Summer Undergraduate Reseacher

  • May 2020 - Aug 2020

  Through the summer, I worked on modeling the behavior of light through anisotropic media from a computational standpoint. This MATLAB code simulates the physics of light as it passes through media that have variation in the prominence of a physical property based on the direction in which data recordings of the material are taken.

• Kono Lab Undergraduate Researcher

  • Jan 2020 - May 2020

  Carbon nanotubes are a material whose properties are best harnessed when they are directionally aligned. Through the semester, I investigated to determine the ideal preparation procedure to maximum carbon nanotube alignment.



Argonne National Laboratory, Department of Energy

• Argonne National Laboratory 2021 Summer Undergraduate Laboratory Intern

  • Jun 2021 - Aug 2021

  Through the summer of 2021, I worked with Paul Hovland at Argonne National Laboratory. My project developed native Julia ports of test problems from the CUTEst, a collection of test problems in mathematical optimization. At the start of my internship, the CUTEst test problems were only available in Julia via an interface that generates Fortran code from a problem description, then compiles and invokes that Fortran implementation. My work developed a Julia module with a number of ports for CUTEst test problems. This module supports certain capabilities that the older Fortran-dependent infrastructure for using CUTEst problems in Julia supports; it also is able to support further capabilities, such as computing in arbitrary precision.