This Fall 2015 I have the opportunity to teach with Dr. Brian O’Meara a diversification seminar as part of his Phyloseminar series. It is a mix of articles and R tutorials about use of models and statistical tools to estimate speciation and extinction rates in a phylogenetic context.
- Birth-Death Stochastic Process. Estimation of speciation and extinction.
Thailand was wonderful and we had a great time teaching basic concepts in statistical Inference. The class material can be found here:
This workshop was organized thanks to funding from QSE3 IGERT at University of Florida and
King Mongkut’s University of Technology Bangkhuntien support. This workshop was jointly taught with
Mollie Brooks http://www.popecol.org/team/mollie-brooks/
Trevor Caughlin. Postdoc at University of Florida
Jake Ferguson. Postdoc at NIMBios
In collaboration with Dr. Jamie Gilloly.
The publication link here
Collaboration with Melania Lopez Castro
PostDoc at Texas A&M
Melania sampled green turtles from many different beaches along the Atlantic ocean and performed a trace element experiment. The goal was to detect a possible location for the young green turtles in the ocean during their lost years. We wanted to know which trace elements were relevant for distinguishing groups of turtles, but also how many clusters those important trace elements were determining. We used Bayesian Model clusters and calculated their BIC to choose the best trace elements and clusters using the High Performance Cluster at UF.
López-Castro, Melania C., Karen A. Bjorndal, George D. Kamenov, Rosana Zenil-Ferguson, and Alan B. Bolten. “Sea turtle population structure and connections between oceanic and neritic foraging areas in the Atlantic revealed through trace elements.” Mar. Ecol. Prog. Ser 490 (2013): 233-246.
Collaboration with Ari Martinez
PostDoc at San Francisco State University
Ari was interested in how different foraging patterns affect the length of latency responses in birds. He perform a very detailed field work in Peru, with different species of birds belonging to three main foraging groups. We analyzed his data using likelihood functions and we obtained relevant differences in alarm responses that depend on foraging behavior.
You can find the publication here