I am a MD-PhD candidate working with Isaac Kohane (Harvard DBMI) and Peter Szolovits (MIT CSAIL). My research centers on biomedical applications of machine learning, which has allowed me to participate in a range of really fun projects leveraging medical images, medical text, EHR and claims data, and various 'omics.
In addition to my research, I am very involved in the Hydrocephalus community by way of Team Hydro, a non-profit organization that my family and I started to raise money and awareness for the condition in honor of my sister, Kate. I also do consulting work as a data scientist and deep learning engineer, with current and former clients including Flagship Pioneering and nference.
For a more formal account of my academic work, see my Curriculum Vitae or Google Scholar.
Brett Beaulieu-Jones, Samuel Finlayson, William Yuan, Russ Altman, Isaac Kohane, Vinay Prasad, Kun-Hsing Yu
Clinical Pharmacology and Therapeutics, 2019
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Samuel Finlayson, John Bowers, Joi Ito, Jonathan Zittrain, Andrew Beam, Isaac Kohane
Science, 2019
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[Sample press: NYT, New Yorker, IEE, Vox, Axios]
Scott Lipnick, Denis Agniel, Rahul Aggarwal, Nina Makhortova, Samuel Finlayson... Isaac Kohane , Lee Rubin
Plos One, 2019
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Samuel Finlayson, Hyunkwang Lee, Isaac Kohane, Luke Oakden-Rayner
Machine Learning for Health (NeurIPS Workshop), 2018
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Brett Beaulieu-Jones, William Yuan, Samuel Finlayson, Zhiwei Steven Wu
Machine Learning for Health (NeurIPS Workshop), 2018
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Thomas Gurry, HST Microbiome Consortium, ... Eric Alm
Scientific Reports, 2018
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Jenna Wiens*, Graham Snyder*, Samuel Finlayson, Monica Majoney, Leo Celi
Open Forum Infectious Diseases, 2018
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Samuel Finlayson, Mia Levy, Sunil Reddy, Daniel Rubin
Journal of Biomedical Informatics, 2016
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[GitHub]
Suzanne Tamang, Manali Patel, Douglas Blayney, Julie Kuznetsov, Samuel Finlayson, ... Nigam Shah
Journal of Oncology Practice, 2015
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Samuel Finlayson, Paea LePendu, Nigam Shah
Scientific Data, 2014
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