Andrew Eaton
About Andrew Eaton
Andrew Eaton is a Data Scientist at Komodo Health in the San Francisco Bay Area, with a diverse background in data science, machine learning, and computational biology.
Data Scientist at Komodo Health
Andrew Eaton currently serves as a Data Scientist at Komodo Health in the San Francisco Bay Area. His role involves utilizing data analytics and machine learning techniques to derive insights and support healthcare solutions. Through his work at Komodo Health, Andrew is contributing to improving patient outcomes and advancing healthcare technology.
Previous Experience in Data Science
Before his current role, Andrew Eaton amassed varied experience in the field of data science and machine learning. He served as a Data Science Intern at Propeller Health for six months between 2019 and 2020 in the San Francisco Bay Area. He also worked as a Machine Learning Engineer Intern at Deepcell, Inc. in 2019 for four months in Mountain View, California, and as a Computational Biologist Intern at Aria Pharmaceuticals from 2018 to 2019 for five months.
Postbaccalaureate IRTA Fellow at National Cancer Institute
From 2016 to 2018, Andrew Eaton worked as a Postbaccalaureate IRTA Fellow at the National Cancer Institute (NCI) in Bethesda, Maryland. During this two-year tenure, he contributed to significant research projects aimed at advancing cancer research and therapeutics. His involvement in cutting-edge research at NCI provided him with invaluable expertise in the biomedical field.
Academic Background in Data Science and Biology
Andrew Eaton has a strong academic foundation with a Master's in Data Science from the University of San Francisco, achieved between 2019 and 2020. He also holds a Bachelor of Science in Biology from Duke University, obtained after four years of study from 2012 to 2016. Additionally, he studied computer science at the Foundations for Advanced Education in the Sciences for a year and completed a Data Science program at General Assembly in 2017.
International and Teaching Experience
In addition to his technical roles, Andrew Eaton has international experience and a background in education. He worked as a Machine Learning Fellow at Fellowship.AI in London in 2018 for four months, and taught English as a Second Language (ESL) in Quang Tri, Vietnam through Duke Engage for two months in 2015. His diverse experiences highlight his adaptability and commitment to continuous learning.