Emily Silgard MS



AI , Bayesian statistics , machine learning , clustering , NLP , relational databases , Fred Hutch

Bio


Emily Silgard's interests are in language processing for data extraction. She currently uses natural language processing to build a robust database for HIDRA based off of an extensive collection of clinical subjects. She is working closely with the different disease groups to interpret clinic and pathology reports to gather context, which informs and defines the pattern matching rules as well as knowledge based and statistical machine learning methods in her approach. Her future interests are to create a pipeline for computation and natural language processing.

Institution


Fred Hutch Data & Analytics Data Science Manager