Mike Huang

Mike Huang is a Software Engineer at the Allen Institute for Brain Science, based in Seattle, Washington.12 He is part of the Non-Human Primate Atlas team, where he develops image processing and informatics solutions.2

Professional Background

Mike has a strong background in machine learning and data science. His skills include:

• Programming languages: Python (with libraries such as pandas, sklearn, numpy, keras, and tensorflow) and R3
• Data manipulation: cleaning, wrangling, and visualization3
• Statistical analysis and inference3
• Machine learning and artificial intelligence34

Career History

Before joining the Allen Institute, Mike's professional experience includes:

• AI Research Fellow at 1910 Genetics (2021)4
• Machine Learning Engineer (2018-2021)4

Projects and Achievements

Mike's GitHub profile showcases several projects that highlight his expertise:

• Spatial Transcriptomics - CCF Registration (Python)
• PhageProtVec: Amino Acid Embedding Representation as Machine Learning Features
• Lung Nodule Detection and Classification from CT Scans
• Predicting Restaurant Review Ratings from Text (Yelp data challenge, R)
• Bifurcation Analysis on Biochemical Switches of the Mammalian Cell Cycle (MATLAB)1

These projects demonstrate Mike's diverse skill set and his ability to apply machine learning and data science techniques to various domains, including bioinformatics and image processing.