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Bio
My research interests focus primarily on applications of machine learning to healthcare. As an undergraduate, I spent two years in Professor Barzilay's lab developing convolutional neural networks for breast cancer detection and risk prediction. We specifically focused on predicting breast density, an important risk factor for breast cancer, and developed a breast density prediction model with accuracy on par with expert radiologists. In January of 2018, we implemented our model in the clinic at Massachusetts General Hospital, where it continues to aid radiologists.
During my master's thesis in Professor Barzilay's lab, I worked on building machine learning models for molecular property prediction. Accurate prediction of molecular properties, such as toxicity or solubility, can significantly accelerate drug discovery by rapidly identifying promising drug candidates. In collaboration with the Broad Institute of MIT and Harvard, we applied our model to antibiotics and discovered a new antibiotic, which we named halicin, that has shown activity against a number of bacteria.
Research Interests
Papers共 20 篇Author StatisticsCo-AuthorSimilar Experts
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Nature Machine Intelligenceno. 3 (2024): 338-353
Jake Silberg,Kyle Swanson, Elana Simon,Angela Zhang, Zaniar Ghazizadeh, Scott Ogden, Hisham Hamadeh,James Zou
crossref(2024)
Nature Methodsno. 3 (2024): 1-9
Kyle Swanson, Parker Walther, Jeremy Leitz,Souhrid Mukherjee,Joseph C Wu,Rabindra V Shivnaraine,James Zou
Gary Liu, Denise B. Catacutan, Khushi Rathod,Kyle Swanson,Wengong Jin, Jody C. Mohammed,Anush Chiappino-Pepe,Saad A. Syed,Meghan Fragis,Kenneth Rachwalski,Jakob Magolan,Michael G. Surette,
Nature Biomedical Engineering (2022)
PROCEEDINGS OF THE SECOND WORKSHOP ON LANGUAGE TECHNOLOGY FOR EQUALITY, DIVERSITY AND INCLUSION (LTEDI 2022) (2022): 107-119
MLCBpp.110-130, (2022)
PNAS Nexusno. 6 (2022): pgad171-pgad171
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Author Statistics
#Papers: 20
#Citation: 2333
H-Index: 9
G-Index: 14
Sociability: 4
Diversity: 2
Activity: 93
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