Shion Matsumoto
Research Assistant at University of South Florida
Tampa, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolShion Matsumoto is a computer science PhD student and research assistant at the University of South Florida with eight years of multidisciplinary engineering and research experience spanning biomedical engineering, mechanical engineering, and ML systems. They have led backend development for a multimodal MLOps platform and contributed ML datamodules and binarized vision datasets (BinaryMNIST/BinaryEMNIST) to a community toolbox, streamlining CV training workflows. Their research background includes statistical shape modeling and vessel-tree generation for biomedical applications, reflecting strong skills in numerical methods, simulation, and data-driven modeling. A 2024 Quad Fellow with a consistent academic record across top programs, Shion blends rigorous academic training with practical production engineering and a knack for translating complex domain knowledge into reusable tooling.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Mechanical Engineering, 4.0/4.0, Master of Science - MS, Mechanical Engineering, 4.0/4.0 at University of MinnesotaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of South FloridaBachelor of Science (BS), Biomedical/Medical Engineering and Mechanical Engineering, 3.98/4.0, Bachelor of Science (BS), Biomedical/Medical Engineering and Mechanical Engineering, 3.98/4.0 at Worcester Polytechnic InstituteBiomedical Engineering, 4.0/4.0, Biomedical Engineering, 4.0/4.0 at University of MichiganHigh School, High School at Dalat International School
English, Japanese
Github Skills (10)
pytorch10
machine-learning10
python10
image-processing10
datasets10
pytorch-lightning9
computer-vision8
supervised-learning8
ai8
mnist7
Programming languages (5)
Github contributions (5)
Lightning-Universe/lightning-bolts
Aug 2022 - Oct 2022
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 8 commits, 14 PRs in 1 month
Contributions summary:Shion contributed to the development of datasets and datamodules for AI/ML research, specifically focusing on binarized MNIST and EMNIST datasets. They implemented the `BinaryMNIST` and `BinaryEMNIST` datasets, incorporating image binarization and testing the correct dimensions and value ranges. Additionally, the user worked on creating and testing various datamodules related to computer vision tasks and model training. The user further refined existing components to enhance the integration of datasets and streamline the machine learning workflow.
pytorchsupervised-learningfairness-mlai-mlcallbacks
matsumotosan/torchmetrics
Mar 2023 - Mar 2025
Machine learning metrics for distributed, scalable PyTorch applications.
Contributions:185 pushes, 22 branches in 2 years
pytorchscalabledeep-learningmachine-learningmetrics
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