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Postdoctoral Scholar
University of California, San Diego
Department of Computer Science and Engineering
9500 Gilman Drive, MC0404
La Jolla, CA, 92093-0404, USA
Office: EBU3b 4212 (CSE Building)
Email: pmedvedev at cs dot ucsd dot edu
Phone : (858) 534-5340
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I am on the job market, let me know if you are interested!
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Please consider submitting to
RECOMB-seq,
a satellite workshop on sequencing which I am co-chairing.
About
My research falls at the interface of biology and theoretical computer science, specifically in problems where rigorous algorithms and analysis can have a demonstrated impact in the biological sciences. My main focus has been on genome assembly and variation detection, though I am interested in a variety of areas such as phylogenetics, graph theory, computational complexity, on-line algorithms, and networking.
Currently, I am a postdoc with
Pavel Pevzner in
UC San Diego.
I received my Ph.D. at the
University of Toronto under the
supervision of
Michael Brudno and
Allan Borodin.
During that time, I also visited
Bielefeld University for a year, working with
Jens Stoye.
Prior to that, I did my M.Sc. at the
University of Southern Denmark
under the supervision of
Joan Boyar.
Software
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Hammer
: error-correction of high-throughput sequencing datasets
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CNVer
: method for detecting copy number variation
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Bidirected network flow solver (download).
Selected Publications
- Paul Medvedev, Eric Scott, Boyko Kakaradov, and Pavel Pevzner, Error correction of high-throughput sequencing datasets with non-uniform coverage, ISMB 2011.
- Paul Medvedev*, Son Pham*, Mark Chaisson, Glenn Tesler and Pavel Pevzner, Paired de Bruijn graphs: a novel approach for incorporating mate pair information into genome assemblers, RECOMB 2011.
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The Plane-Width of Graphs,
with Marcin Kaminski and Martin Milanic, Journal of Graph Theory, 2011.
- Paul Medvedev, Marc Fiume, Misko Dzamba, Tim Smith, Michael Brudno, Detecting Copy Number Variation with Mated Short Reads, Genome Research, 2010.
- Paul Medvedev, Monica Stanciu, Michael Brudno, Computational Methods for Discovering Structural Variation with Next Generation Sequencing, Nature Methods, 2009.
See the full list here