Hoifung Poon

Researcher, Microsoft Research

Metaknowledge Interests

My research interests are in advancing machine learning and natural language processing to automate discovery in genomics and precision medicine. Specifically, my research can be organized in three themes: combine logic and probability to represent and reason with complex and noisy knowledge; develop systems to extract complex knowledge such as biological pathways from Pubmed without requiring many annotated examples; develop a unified framework to integrate knowledge with high-throughput -omics data for system biology research in cancer and other complex diseases.

Background

I am a researcher at Microsoft Research in Redmond, WA. My research interest is in advancing machine learning and natural language processing to automate discovery in genomics and precision medicine. My most recent work focuses on scaling semantic parsing to Pubmed for extracting biological pathways, and on developing probabilistic methods to incorporate pathways with high-throughput genomics data in cancer system biology. I have received Best Paper Awards in NAACL, EMNLP, and UAI.

Current Projects

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