Mike Huang
Software Engineer at Allen Institute for Brain Science
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMike Huang is a software engineer and machine learning practitioner with 11 years of experience applying computational and statistical methods to biomedical problems, currently building data pipelines at the Allen Institute for Brain Science. He combines deep domain knowledge in neuroscience, genomics, and imaging with hands-on experience delivering end-to-end solutions—from super-resolution microscopy and spatial transcriptomics to NGS and CT-based diagnostics. Mike has shipped production-grade Python code in CLIA/CAP settings, collaborated with industry partners to commercialize imaging tech, and contributed to the widely used AllenSDK by enhancing brain-data objects and engineering quality improvements. Comfortable bridging biology and engineering, he also built generative and NLP pipelines for drug analog discovery and phage protein function prediction. A US citizen based in Seattle with international research experience, he brings both rigorous scientific training and practical ML deployment experience to translational health projects.
11 years of coding experience
7 years of employment as a software developer
Master's Degree, Biomedical/Medical Engineering, Master's Degree, Biomedical/Medical Engineering at University of Southern CaliforniaData Science Specialization, Data Science Specialization at Johns Hopkins University / CourseraMachine Learning Engineering, Machine Learning Engineering at Georgia Tech / UdacityBS, Neuroscience, BS, Neuroscience at University of California, Riverside
English, Chinese, French
Github Skills (5)
pandas10
python10
data-analysis10
scientific-computing9
bioinformatics9
Programming languages (7)
Github contributions (5)
AllenInstitute/AllenSDK
Oct 2022 - Jan 2023
code for reading and processing Allen Institute for Brain Science data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:61 reviews, 71 commits, 39 PRs in 2 months
Contributions summary:Mike primarily contributed to the `allensdk` repository by modifying and adding features related to data processing and access, specifically concerning brain science data. Their work focused on enhancing data objects, particularly within the `cell_specimens` module, by incorporating new data fields like `demixed_traces`, `neuropil_traces`, and metadata elements such as `r` and `RMSE`. These changes involved modifying existing code and introducing new data objects to accommodate the added information. They also made improvements to the codebase by implementing linting and other code style improvements.
brainneurosciencepythonscienceneuroimaging
AllenInstitute/sptx_ccf_registration
Jul 2023 - Dec 2024
Contributions:17 pushes, 1 branch in 1 year 5 months
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