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High-throughput sequencing technologies are revolutionizing the way genomes, transcriptomes and epigenomes are studied. Generating, processing and interpreting this unprecedented magnitude of complex data and integrating multiple dimensions requires considerable research effort, for biologists, statisticians and computer scientists alike.
Our group develops statistical methods for interpreting high-throughput sequencing and other genomics technologies in areas such as genome sequencing, gene expression and regulation and analysis of epigenomes. Research projects encompass three interlaced themes:
1. contribute to relevant genome-scale experimental design and data analysis challenges in close collaboration with biologists;
2. develop statistical methods and software tools for the interpretation and integration of multiple types of genome-scale data;
3. perform technical investigations to understand the performance of the technologies used to generate and of the algorithms used to process the data.
|1994-1999:||B.Sc. (Applied Math and Stats CO-OP), Uni Guelph|
|1999-2001:||M.Sc. (Statistics), Uni British Columbia|
|2001-2003:||Research Assistant (Uni Toronto, with T. Hughes)|
|2003-2004:||Research Scientist (MDS Proteomics, Toronto)|
|2004-2005:||Research Assistant (Uni Toronto, with B. Frey)|
|2005-2008:||Ph.D. Bioinformatics (Uni Melbourne, with T. Speed)|
|2008-2011:||Postdoc (Cancer Epigenetics, Garvan Institute w/ S. Clark)|
|2011-2017||Assistant Professor (IMLS, Uni. Zurich)|
|2017-present||Associate Professor (IMLS, Uni. Zurich)|