Duke Applied Machine Learning Group
- Lewis Eatherton
Lewis Eatherton has work experience in the field of applied machine learning and innovation. Lewis started working at Duke Applied Machine Learning Group in August 2020 as a member of the team. Additionally, they worked at Duke Innovation and Entrepreneurship Initiative from August 2020 to May 2021 as a Bass Connections Research Associate. Prior to that, they worked as a Center for Applied Molecular Medicine Junior Fellow at the Keck School of Medicine of the University of Southern California for two months in 2018.
Lewis Eatherton completed their education at Duke University from 2019 to 2023, earning a Bachelor's degree in Statistics and Computer Science. Prior to that, they attended the Head-Royce School from 2015 to 2019, but the degree name and field of study for this period are not specified.
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San Francisco, United States
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Duke Applied Machine Learning Group
The Duke Applied Machine Learning Group (DAML) is a coalition of researchers who solve a variety of business problems with machine learning. Many firms underutilize data science and don’t realize to what extent it can increase the profitability and efficiency of its operations. Some companies are completely unaware of their applications in their respective industries. The DAML was created to change that. We provide pro bono services to spread awareness of machine learning’s usefulness and to make modern business solutions accessible by everyone. Contact our business team to set up a consultation today! Please feel free to contact any of our business team members below.