Bryan Quah
Research Associate In Neuroimaging
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBryan Quah is a research-focused software and machine learning engineer with nine years of experience building tools for biomedical imaging and MRI reconstruction. Based in Los Angeles, he combines C++ image-reconstruction engineering for novel MRI sequences with end-to-end ML pipelines for automated MRI analysis, informed by an MS in Magnetic Resonance Imaging Science. His background spans production front-end improvements on notable open-source projects like CoCalc and algorithmic Python work solving coding challenges and research proofs of concept. At the University of Washington he improved placenta segmentation Dice scores by 20% through augmentation and model engineering, and he has a proven track record integrating deep-learning stacks from research into robust pipelines. Equally comfortable in low-level performance code and high-level experimentation, he brings a mathematician’s rigor to applied neuroimaging problems.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts, Mathematics, Bachelor of Arts, Mathematics at University of WashingtonMaster of Science - MS, Magnetic Resonance Imaging Science, Master of Science - MS, Magnetic Resonance Imaging Science at Cedars-Sinai
English
Github Skills (17)
algorithms10
javascript10
coffeescript10
python10
data-structure10
data-structures10
strings9
text-manipulation9
react9
binary-tree9
html8
css8
jupyter7
jupyter-notebook7
cloud-computing6
Programming languages (2)
Github contributions (5)
YearOfProgramming/2017Challenges
Jan 2017 - Jan 2017
Join our slack channel
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:14 commits, 7 PRs, 2 comments in 28 days
Contributions summary:Bryan primarily contributed to solving coding challenges, demonstrating proficiency in Python. They implemented solutions for various challenges, including string manipulation, finding unique elements in lists, and binary tree operations. Their work included creating and modifying Python code, focusing on algorithms and data structures.
slackjoin
sagemathinc/cocalc
Jun 2017 - Sep 2017
CoCalc: Collaborative Calculation in the Cloud
Role in this project:Front-end Developer
Front-end DeveloperContributions:17 commits, 9 PRs, 6 pushes in 3 months
Contributions summary:Bryan primarily contributed to the front-end development of the CoCalc platform. Their work includes fixing UI issues related to whitespace handling in cell outputs, adding a button for keyboard shortcuts, and modifying the display of download links. Furthermore, the user added an icon button for ipynb files and updated the file download behavior. The user's contributions are focused on improving the user interface and enhancing the functionality of the CoCalc editor.
paripythonjupyter-notebookmathematicshydrogen
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