Max Lu
PhD Candidate
Summary
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RockstarMax Lu is a PhD candidate in computer science at MIT with seven years of software and machine learning engineering experience, specializing in computational pathology. He has contributed core functionality and model improvements to CLAM, a notable open-source toolkit for deep learning on whole-slide images, demonstrating expertise in model implementation, scaling, and interpretability (heatmaps). Max bridges rigorous research and production-ready code, focusing on reliable bug fixes and practical enhancements that advance biomedical ML workflows. Known for hands-on contributions to high-impact open-source projects, he brings an experimental mindset rooted in academic research while delivering tangible engineering results.
7 years of coding experience
Github Skills (10)
model-building10
pytorch10
deep-learning10
python10
slide10
imaging10
modeling10
model-driven10
model-driven-development10
image-scanning10
Programming languages (2)
Github contributions (5)
mahmoodlab/CLAM
Jul 2020 - Aug 2022
Open source tools for computational pathology - Nature BME
Role in this project:
ML Engineer
ML EngineerContributions:35 commits, 12 PRs, 86 pushes in 2 years 1 month
Contributions summary:Max contributed to the core functionalities of the `clam` project, which focuses on computational pathology. Their commits reveal modifications to core utilities and model files, specifically for the CLAM (Computational Learning in Annotated and Marked slides) models. These updates included bug fixes and enhancements to existing code, suggesting a focus on model implementation and improvement within the deep learning framework. The user also integrated new functionality related to scaling and heatmaps.
engineeringhistopathologybiomedical-engineeringtcga-datacamelyon16
fedshyvana/path_pytorch
Sep 2018 - Oct 2018
Contributions:9 commits, 299 pushes, 1 branch in 1 month
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