Jiamin He
Student Researcher at Google DeepMind
Edmonton, Alberta, Canada
Summary
🤩
Rockstar🎓
Top SchoolJiamin He is a PhD student and researcher with eight years of experience applying reinforcement learning to scientific and multi-agent problems, currently working at Google DeepMind. Her academic path spans Sun Yat-sen University through MSc and PhD studies at the University of Alberta, with research roles that tackled credit assignment in multi-agent RL and game-focused RL applications. She has a strong practical systems background evidenced by notable open-source contributions to the OpenMMLab ecosystem—helping stabilize core mmcv components and extend mmagic/mmediting data pipelines used in large-scale image and video editing projects. Jiamin’s work bridges algorithmic research and production-ready tooling, from debugging deadlocks and building optimizer constructors to designing robust data augmentation primitives. Colleagues describe her as someone who moves fluidly between theoretical RL advances and hands-on engineering, with a track record of making research reproducible and systems more usable.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computing Science, Doctor of Philosophy - PhD Computing Science at University of AlbertaBachelor's degree Information and Computing Science, Bachelor's degree Information and Computing Science at Sun Yat-sen University
Github Skills (16)
computer-vision10
pytorch10
deep-q-learning10
deep-learning10
python10
image-processing10
computer-engineering9
data-augmentation9
image-editing9
machine-learning8
algorithms8
numerical-optimization8
code-optimization8
algorithm8
optimization8
Programming languages (3)
Github contributions (5)
open-mmlab/mmagic
Mar 2020 - Nov 2020
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 150 commits, 22 PRs in 7 months
Contributions summary:Jiamin primarily contributed to the development of the `mmediting/datasets/pipelines` module, focusing on data processing and augmentation pipelines. They implemented several new data processing steps, including `Compose`, `FormatTrimap`, and `GenerateTrimapWithDistTransform`, along with improvements to existing ones like `CropAroundSemiTransparent`. The contributions included the addition of various functionalities related to image data loading, format conversions, and data augmentation for the core domain of the project, image and video editing.
mattingimage-synthesistext-to-imagevideo-super-resolutionvideo-restoration
open-mmlab/mmcv
Apr 2020 - Jul 2020
OpenMMLab Computer Vision Foundation
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 reviews, 18 commits, 18 PRs in 2 months
Contributions summary:Jiamin contributed to bug fixes and feature additions within the mmcv library, focusing on improving core functionalities. They addressed a deadlock issue related to logging, and fixed an issue with building ConvModule. The user also added an optimizer constructor from mmdetection and added IterBasedRunner. These changes indicate a focus on enhancing the library's usability and capabilities.
visiondeep-learningcomputer-visionfoundationopenmmlab
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