Michael Lin
Content Creator
United States
Summary
👤
Senior🎓
Top SchoolMichael Lin is a machine learning scientist and content creator with eight years of experience applying computer vision, deep generative models, and unsupervised learning to biological and behavioral data. He has built production image-processing pipelines and trained convolutional networks for neural tissue segmentation and synapse detection at scale in drug-discovery settings, and previously developed CNNs for pulmonary embolism detection and agent-based models of insect behavior during his PhD. Michael combines end-to-end technical delivery with science communication—creating, scripting, filming, and editing video content that distills research on social skills and human connection. His background spans physics and computational applied mathematics, and he often blends particle simulation, chaotic dynamics, and multi-agent RL ideas into practical imaging and analysis workflows. An uncommon strength is his habit of shipping visualization tools (e.g., Streamlit apps) alongside research code to make complex preprocessing pipelines immediately accessible to collaborators.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Arizona State UniversityBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Maryland
English
Github Skills (8)
points3
overlap2
topological-data-analysis2
manifold2
collections2
convolution1
dataframes1
scientific-computing1
Programming languages (1)
Github contributions (5)
M-Lin-DM/M-Lin-DM.github.io
Apr 2020 - Nov 2021
Contributions:111 pushes, 1 branch in 1 year 7 months
M-Lin-DM/Multi-Agent-Transporters
Apr 2020 - Jul 2021
Contributions:6 commits, 5 pushes, 1 branch in 1 year 2 months
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