Sign In
Get Clay Free →

Suggestions

    Franklin Lee

    Machine Learning Modeling Engineer at Corning Incorporated

    Franklin Lee is a Senior Machine Learning Modeling Engineer at Corning Incorporated, based in Painted Post, New York.34 He has expertise in materials design and discovery using molecular techniques, and applies his knowledge of Chemical Engineering to machine learning modeling.1

    Lee holds a Ph.D. from Stanford University, where he was part of the Bao Group in the Chemical Engineering department from 2014 to 2018.6 His undergraduate studies were completed at Cornell University.6

    Prior to his current role, Lee worked as a Machine Learning Engineer at Corning.4 He joined the company in July 2018.5 His research interests include developing interpretable polyamide property prediction methods using machine learning.2

    Franklin Lee has been cited 280 times in academic publications, indicating his contributions to the field of materials science and machine learning.2 His ORCID identifier is 0000-0001-7704-9898.5

    Related Questions

    What specific projects has Franklin Lee worked on at Corning Incorporated?
    What is Franklin Lee's educational background at Stanford University?
    How has Franklin Lee contributed to the field of machine learning in materials science?
    What are some notable publications by Franklin Lee on Google Scholar?
    What is Franklin Lee's role in the development of interpretable polyamide property prediction?
    Franklin Lee
    Franklin Lee, photo 1
    Franklin Lee, photo 2
    Get intro to Franklin
    Add to my network

    Location

    Painted Post, New York, United States