Welcome to the Lab

Evolution is the fundamental organizing principle of biology and phylogeny is the fundamental framework for understanding evolutionary history. Reconstructing the Tree of Life has been a goal of biologists since Darwin first included his conception of a phylogenetic tree as the sole figure in On the Origin of Species. However, the recognized importance of accurately reconstructing evolutionary history now extends far beyond the confines of evolutionary biology. Historical evolutionary inference has become an integral component of research in molecular biology, genomics, medicine, conservation, agriculture, epidemiology, and even forensics.

Our lab evaluates, creates, and applies phylogenetic methods to some of today's most pressing questions.

 

Two Postdoc Positions Available

Feb
04

Two postdoctoral researcher positions are available in the computational evolutionary biology lab of Jeremy M. Brown at Louisiana State University. Research in the Brown lab is broadly centered on the use of phylogenetic approaches to understand organismal history and molecular evolution.

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CompBio Seminar - Feb. 11th - 5-6

Feb
03
The first talk of 2015 in the CompBio Seminar Series for Undergrads will be given by LSU math alum Dr. Stephanie Hicks on Wed., Feb. 11th from 5-6 in LSA A101. The title of her talk will be: “Why Statistics Matters in the Analysis of Genomics Data”. A social with food and drinks provided will follow in the LSA Atrium from 6-6:30.
 
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New paper on informed priors out in Systematic Biology

Feb
02

The Phyleaux Lab has a new paper available via Advance Access in Systematic Biology. This paper was spearheaded by Brad Nelson and explores the use of existing information (contained in other sequence datasets) to set informed branch-length priors for Bayesian phylogenetic analyses. The approach seems promising for branch lengths and may be applicable to other parameters in phylogenetic models. If interested, you can find the paper here:

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CompPhylo for Spring 2015

Jan
20

Jeremy is teaching a graduate-level course on Computational Phylogenetics during the spring 2015 semester. The course involves a lot of coding in Python and we're keeping all course material on GitHub. Feel free to follow along here: https://github.com/jembrown/CompPhylo_Spr2015.

Oh, and it's Mardi Gras season in Louisiana! Come visit for the king cake, parades, and a great time.

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Welcome to Genevieve and David!

Sep
16

The Brown Phyleaux Lab has experienced quite a bit of turnover in the past few months. Several excellent and talented lab members have moved on to explore new frontiers. Chelsea Kliebert, an undergraduate researcher, graduated from LSU in May 2014 and is now pursuing a Ph.D. in the Chemical and Systems Biology graduate program at Stanford. Jeremy Ash, a research associate, started working in the lab in February 2014 and then began work on a Ph.D. in Bioinformatics at North Carolina State in August.

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Student Position in Outreach and Communication

Aug
20
** DEADLINE EXTENDED TO SEPT. 1ST! **
 
The lab of Jeremy M. Brown in the Dept. of Biological Sciences seeks a talented and motivated student (undergraduate or graduate) for a part-time, paid position focusing on science outreach and communication.
 
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Congratulations to Brad Nelson!

Jun
26

Congratulations to Brad Nelson, who recently became the first Master's graduate from the Brown Phyleaux lab. Brad's thesis includes two very nice chapters on improving Bayesian branch-length inference by using informed priors and applying posterior predictive approaches to assess the reliability of an inferred squamate phylogeny. Click here to download it.

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Postdoc Position Available

May
08

A postdoctoral researcher position is available in the computational evolutionary biology lab of Jeremy M. Brown. This position is part of a project funded by the National Science Foundation to develop and apply a suite of related statistical approaches for assessing the fit of stochastic models to sequence and trait data. The goal of this work is to identify when phylogenetic and comparative inferences might be compromised by poor model fit.

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Welcome to Jeremy Ash

Feb
08

Jeremy Ash, a recent graduate of the University of Texas at Austin, has joined the lab as a Research Associate. Jeremy will be working on a project funded by the NSF Advances in Biological Informatics program to explore network-based approaches for characterizing and quantifying phylogenetic signal in large sets of trees. This project is collaborative with Jim Wilgenbusch, Kyle Gallivan, Wen Huang, Guifang Zhou, and Melissa Marchand at Florida State University.

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