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ncfrey/README.md

Hi there, I'm Nathan 👋

I am CTO & Co-Founder of Coefficient Bio. Previously, I was a Principal Machine Learning Scientist and Group Leader at Prescient DesignGenentech, where my group developed and applied ML methods for molecular discovery and design. I was a Postdoc at MIT with the Lincoln Lab Supercomputing and AI groups, working with Profs Gomez-Bombarelli and Coley on ML for materials and molecule design. I have a PhD in Materials Science & Engineering from the University of Pennsylvania. I was a National Defense Science & Engineering Graduate Fellow in the Shenoy Group and an affiliate scientist at Berkeley Lab with the Materials Project.

Popular repositories Loading

  1. resources resources Public

    A Highly Opinionated List of Open Source Materials Informatics Resources

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  2. litmatter litmatter Public

    Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

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  3. pumml pumml Public

    Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.

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  4. pytopomat pytopomat Public

    Python Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.

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  5. magnetic-topological-materials magnetic-topological-materials Public

    Supplementary material for N. C. Frey, M. K. Horton, J. M. Munro, S. M. Griffin, K. A. Persson, and V. B. Shenoy, Science Advances 09 Dec 2020: Vol. 6, no. 50, eabd1076 DOI: 10.1126/sciadv.abd1076

    Jupyter Notebook 9 5

  6. defect-design defect-design Public

    Supplementary material accompanying Frey, N. C.; Akinwande, D.; Jariwala, D.; Shenoy, V. B. Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information…

    Jupyter Notebook 3 1