Awarded in 2013
Home Department: Biomedical Informatics
Faculty Advisors: Russ Altman (Bioengineering), Chris Potts (Linguistics), and Daniel Rubin (Radiology)

Research Title: Learning the structure of biomedical relationships from unstructured text

Research Description: Unstructured, text-based resources such as the scientific and patent literatures and electronic medical records provide a wealth of valuable biomedical data that we have barely begun to tap. Bethany's research goal is to apply modern natural language processing (NLP) and text mining methods to important biomedical problems. Specifically, she is using a combination of NLP and crowdsourcing to extract structured relationships among drugs, genes, and phenotypes (such as diseases and side effects) from unstructured text. Networks of these structured “facts” can help us better understand important biomedical phenomena like drug-drug interactions and patient-level variation in drug response.

WHERE IS SHE NOW?

Bethany is Chief Data and Analytics Officer at New York-Presbyterian and Adjunct Assistant Professor at the Icahn School of Medicine at Mount Sinai.