Michael Brudno
Assistant Professor & Canada Research Chair in Computational
Biology
University of Toronto
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Research Summary:
My main research interest is the development of computational methods for the analysis of High throughput, a.k.a. Next-Generation sequencing data. Together with my group, we are working on algorithms for assembly, mapping, and variation discovery with short reads. In addition, we also work on cloud computing, whole-genome alignment, as well as on detection and analysis of genome variation within a species. Please see the publications and research (somewhat out of date) pages for more details.
Current Teaching:
Brief Academic Bio:
I got my PhD from the Computer Science Department of Stanford University developing several approaches for comparison of genomic sequences, including the LAGAN Alignment Toolkit, "glocal" alignment algorithms for sequences with rearrangements, and whole genome alignments. My postdoc work at the Computer Science Division, UC Berkeley primarily addressed the problem of whole genome assembly from shotgun read data. After my postdoc I was a Visiting Scientist at CSAIL (MIT) before starting as an Assistant Professor at the University of Toronto in January 2006.
Contact info:
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brudno {at} cs {.} toronto {.} edu tel: +1 416-978-2589 fax: +1 416-978-1455 |
Dept of Computer Science Pratt Bldg, Room 286C 6 King's College Rd University of Toronto Toronto, ON M5S 3G4, Canada |
BBDMR/CCBR Donnelly CCBR, Rm 604 160 College Street University of Toronto Toronto, ON M5S 3E1, Canada |