Harrison Martin

Data Scientist / Software Developer

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About

Harrison holds a B.Sc. in Physics from Westfälische Wilhelms-Universität and a B.A. in Political Science from Washington State University.

His professional interest is to explore the new frontier machine learning algorithms are opening in the development of software. His interest in this field has only grown since his thesis project developing a software using machine learning regression models to optimize/characterize liquid electrolyte conductivity.

Originally from Seattle, WA, he has studied in Pullman, WA, Granada, ES, and Münster, DE. He has worked as an outdoor instructor in Seattle, English teacher in Oviedo, ES, and as a software developer / data scientist in Münster. He loves haphazard outdoor adventures, daydreaming and books (generally scifi, but a great book of any genre might knock him off the grid for a few days).

Harrison’s native tongue is English and he is also fluent in German and Spanish.

Open Source Projects

Machine learning regression modeling package based on scikit-learn for Liquid Electrolyte Composition Analysis (LECA)

Basic Java server, serving e.g. this website (Serverlino)

Writing

Yan, P., Fischer, M., Martin, H., et al. (2024). Non-aqueous battery electrolytes: high-throughput experimentation and machine learning-aided optimization of ionic conductivity. Journal of Materials Chemistry A. 10.1039/D3TA06249J.

Get in touch

Harrison is happy to discuss job opportunities and personal references will be made available on request. Please reach out via LinkedIn.