Hoifung Poon

Microsoft Corporation
One Microsoft Way
Redmond, WA 98052, U.S.A.

Email: <first name > at microsoft dot com
Website: research.microsoft.com/~hoifung

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.

Check out the Literome Project, a repository for automatically curated knowledge from Pubmed. Currently, it features associations between genotypes and phenotypes, such as single nucleotide polymorphism (SNP) vs. disease predisposition or drug reaction, which are useful for genomics research such as genome-wide association studies (GWAS).

I spent some truly amazing years in the Department of Computer Science and Engineering at the University of Washington. My Ph.D. advisor is Pedro Domingos. My dissertation is: Markov Logic for Machine Reading.



I gave a tutorial in NAACL-2010 on Markov logic in natural language processing. Here are the slides.


Last modified: May, 2013