Machine Learning Scientist (Independent) at Self-employed
Honolulu, Hawaii, United States
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Summary
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Karl Heyer is a machine learning scientist with eight years of interdisciplinary experience applying deep learning and data science to hard science problems, especially early-stage drug discovery. He’s built production-ready ML systems—from training large language models for molecular design to deploying active learning pipelines that cut virtual screening costs by over 100x and scalable vector databases for massive molecular datasets. His background blends hands-on wet-lab expertise in industrial biotech and assay development with cloud-native engineering (AWS, Kubernetes, Lambda) and production ML deployment. Previously he architected BlackThorn’s compute and data warehouse, improved chemical machine-translation models, and scaled DNA assembly processes that dramatically reduced cost and increased throughput. Based in Honolulu, Karl combines rigorous engineering discipline with curiosity across biotech, energy and materials, and frequently translates lab-scale experiments into automated, scalable data products. He’s an independent consultant who thrives on tackling high-impact scientific problems with state-of-the-art ML methods.
7 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Chemical Engineering, 3.90, Bachelor’s Degree, Chemical Engineering, 3.90 at University of Southern California
Master’s Degree, Materials Engineering, 3.82, Master’s Degree, Materials Engineering, 3.82 at University of Southern California Viterbi School of Engineering
Contributions:96 commits, 80 pushes, 1 branch in 1 year 2 months
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Karl Heyer - Machine Learning Scientist (Independent) at Self-employed