Xiaohui Qu - Associate Scientist

Xiaohui Qu

Associate Scientist

Berkeley, California, United States

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Summary

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Rockstar

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Top School

Xiaohui Qu is an Associate Scientist based in Berkeley with 13 years blending research-grade materials science and engineering with pragmatic software development. At Brookhaven and UC Berkeley roles he has translated complex scientific workflows into robust tooling, contributing backend and DevOps expertise to high-impact open-source projects like the Materials Project's Fireworks and pymatgen. His work on multiprocessing job packing and rigorous unit testing improved large-scale job submission and molecule-matching reliability—an indication of both production-focused coding and deep domain knowledge. Trained with a PhD in Environmental Science, he bridges computational materials analysis and automation, often surfacing subtle integration and logging fixes that prevent large-scale failures.

12 years of coding experience

5 years of employment as a software developer

Bachelor of Science - BS, Environmental Engineering, Bachelor of Science - BS, Environmental Engineering at Shandong University

Github Skills (15)

unit-testing10

multiprocessing10

workflow-management10

multi-process10

python-multiprocessing10

mongodb10

python10

mongodb-database10

test-automation10

data-integration9

integrations9

materials-informatics9

devops9

system-integration9

integrate9

Programming languages (1)

Python

Github contributions (5)

materialsproject/pymatgen

Jun 2013 - Jun 2017

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

Role in this project:

Back-end Developer & Test Automation Engineer

Contributions:354 commits, 13 PRs, 20 pushes in 4 years

Contributions summary:Xiaohui's primary contributions involve developing unit tests for molecule matching and related functionalities within the pymatgen project. This is evident from the commit messages focusing on adding tests for new features like MoleculeMatcher, to_dict, and from_dict functions, as well as adding more molecule data and checking them. The user also addressed merging conflicts by integrating code changes and fixing a bug in a test function, which showcases their ability to maintain code integrity and ensure the reliability of existing features.

moleculespythonscienceelectronic-structurepowers

materialsproject/fireworks

Aug 2013 - Jan 2017

The Fireworks Workflow Management Repo.

Role in this project:

Back-end Developer & DevOps Engineer

Contributions:80 commits, 6 PRs, 1 branch in 3 years 5 months

Contributions summary:Xiaohui primarily contributed to the job packing functionality, implementing a multiprocessing service using Python. They introduced the `PackingManager` class and related functions to manage shared objects and orchestrate the launching of sub-processes. The user also addressed several bugs related to parameters, logging, and node allocation. These changes directly enhanced the capabilities of the Fireworks workflow management system by improving its ability to handle large-scale job submissions.

repo-managementfireworksworkflow-managementworkflow

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