Computational Biology/ Algorithms and Complexity Theory: Elchanan Mossel U. of California at Berkeley/ Phylognetic tree estimation: lessons from statistical physics ACES 2.402
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Event: Computational Biology/ Algorithms and Complexity Theory
Speaker: Elchanan Mossel
University of California at Berkeley
Title: Phylognetic tree estimation: lessons from statistical physics
Date: Thursday February 2 2006
Time: 11:00 am
Place: ACES 2.402
Coffee: 10:45 am
Host: Tandy Warnow
ABSTRACT:
Ideas from Statistical Physics can often point to useful concepts and algorithms for Phylogenetic Tree problems. I will survey some established results and current challenges.
Speaker Bio:
Elchanan Mossel is an assistant professor of Statistics at UC Berkeley. Elchanan is from Jerusalem where he did his PhD in Math at the Hebrew University advised by Prof. Yuval Peres. Before starting his position at Berkeley he was a post-doc at Theory Group at Microsoft Research and a Miller fellow in Statistics and Computer Science in Berkeley. Elchanan's research interests include applied probability discrete Fourier analysis Markov chains Markov random fields learning social choice and phylogeny.
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