Tyler H. Chang

Senior Software Engineer,
Computational Researcher

About Me:

I am currently building high-performance EDA products. I still perform research in numerical optimization, scientific machine learning, and HPC and maintain open source software independently.

Previously, I was a Postdoc @ Argonne, where I developed algorithms and open source numerical software and performed applied research at the interface of numerical optimization, approximation theory, and scientific machine learning. Before that, I completed my PhD in Computer Science (specialization in scientific computing) @ Virginia Tech.

View my publications on Google Scholar, and check out some of my open-source software below or on GitHub.

For a short biography, click here.


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Featured Software:


2022 (latest release 2024). ParMOO: Python library for parallel multiobjective simulation optimization
Release: 0.4.1
Devs: T. H. Chang (lead), S. M. Wild, and H. Dickinson
Primary Prog. Lang: Python 3



2020 (latest release 2024). DelaunaySparse: Interpolation via a sparse subset of the Delaunay triangulation
Devs: T. H. Chang (lead), T. C. H. Lux, and L. T. Watson
Primary Prog. Lang: Fortran 2003


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Teaching:

Courses Taught

  • Jan 2022 - Feb 2024. Adjunct Professor, Intro to Python: College of DuPage, Dept. of Computer and Info. Science
    • Summer 2023. CIS 2531: Introduction to Python Programming (in-person)
    • Spring 2022. CIS 2531: Introduction to Python Programming (online)
  • Jan 2020 - May 2020. Instructor of Record, Data structures and algorithms: Virginia Tech, Dept. of Computer Science
    • Spring 2020. CS 3114: Data Structures and Algorithms (half in-person, half online)

Lecture Notes


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Last update: 2025-05-06

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