Tyler H. Chang

Senior Research Engineer,
Numerical Optimization and Scientific Machine Learning

About Me:

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

Previously, I was a researcher @ 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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News:

Upcoming and Recent Events

Upcoming: Keep an eye out for our paper Designing a Framework for Solving Multiobjective Simulation Optimization Problems, to appear in the INFORMS Journal on Computing.

Jan 2026: I attended the Dagstuhl Seminar on UQ for Multiobjective Simulation Optimization hosted by the Leibniz Association in Wadern, Germany.

Jan 2026: We released version 0.5.1 of ParMOO on GitHub, PyPI, and Conda Forge. From a user-perspective, not much has changed. But under the hood, we have made significant structural and documentation changes to support a slew of planned features.

Oct 2025: I gave a talk "Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning" at the SIAM NCC Meeting.


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Featured Software:


2022 (latest release 2026). ParMOO: Python library for parallel multiobjective simulation optimization
Release: 0.5.1
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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Misc Information:

Resources and Cheatsheets for Math Nerds

My favorite Python stuff

My favorite Fortran stuff

My Sister is a Pro Tennis Player!


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Last update: 2026-01-27

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