I am a MD-PhD candidate working with Isaac Kohane (Harvard DBMI) and Peter Szolovits (MIT CSAIL). My research interests center on the intersection of machine learning and healthcare, 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. I am also interested in the topic of medical AI safety.
Most recently, my primary focus has shifted to developing algorithms for the diagnosis and treatment of rare diseases. I'm working on this as part of the Undiagnosed Disease Network as well as through collaborations with some amazing experts in disease modeling and drug development.
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/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.
Samuel Finlayson, John Bowers, Joi Ito, Jonathan Zittrain, Andrew Beam, Isaac Kohane
[Abstract] [Paper] [GitHub]
[Preprint/Supplement (more technical)]
[FAQ] [Sample press: NYT, IEE, Vox, Axios]