Dylan Steinecke

Dylan loves how the medical informatics PhD program has enabled him to help solve problems while working towards improving human health and understanding the world. His research has supported understanding the causes of human health and disease by developing biomedical methods and resources in natural language processing, knowledge graphs, machine learning, and statistical genetics. 

Outside of UCLA, his past research includes machine learning for medical genetics (Bristol Myers Squibb), knowledge graphs for drug repurposing (Scripps Research), and population genetics (California State University San Marcos). He holds a bachelor's degree in biological sciences with minors in mathematics, computer science, and economics.

LinkedIn: www.linkedin.com/in/dylan-steinecke/

ORCID: 0000-0002-0469-0868