Michael Tang
Researcher at Center for Interface Science and Catalysis
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMichael Tang is a researcher and computational materials scientist with 11 years of experience modeling material surfaces and designing electrocatalysts that recycle CO2 into fuels, leveraging ML to accelerate discovery. Based in the San Francisco Bay Area and pursuing a PhD in Materials Science at Stanford, he combines hands-on simulation work with practical software development for beamline tomography and data I/O. His open-source contributions include targeted back-end improvements to the widely used tomopy tomography library, ensuring robust handling of ALS 8.3.2 datasets. Earlier roles span national-lab image reconstruction, battery materials research, and international lab experience in stimuli-sensitive polymers, giving him deep experimental context for his simulations. He also has a history of teaching and community leadership, from founding a materials chapter at UCSD to running science-focused summer programs. Michael’s profile mixes rigorous academic training with pragmatic engineering—optimizing both algorithms and lab workflows to move materials ideas toward real-world fuel recycling.
11 years of coding experience
2 years of employment as a software developer
University of California San DiegoLynbrook High SchoolDoctor of Philosophy (Ph.D.), Materials Science, Doctor of Philosophy (Ph.D.), Materials Science at Stanford University
English, Chinese, Japanese
Github Skills (7)
file-handling10
image-reconstruction10
tomography10
io10
recovery10
python10
3d-reconstruction10
Programming languages (4)
Github contributions (5)
tomopy/tomopy
Jun 2015 - Jun 2015
Tomographic Reconstruction in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits in 1 day
Contributions summary:Michael primarily focused on improving the `tomopy/io/exchange.py` file, specifically for reading ALS 8.3.2 data. Their contributions included modifying the file reading process to correctly handle different file naming conventions and normalization procedures. They also addressed code formatting inconsistencies and indentation errors. These changes enhance the functionality of the library to support a specific, important data format.
toolboxreconstructionpythontomography
ttgmichael/EnglishTranslation
Aug 2015 - Feb 2016
Contributions:24 commits, 451 pushes, 48 branches in 6 months
otctranslationenglishenglish-translationkorean
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