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Organizing Committee
University of Alaska Fairbanks
University of Wisconsin - Madison
University of Hawai'i at Mānoa
University of Tasmania
The Ohio State University
University of Auckland
UCSD
University of Alaska Fairbanks
University of Wisconsin-Madison
Delft University of Technology
Abstract
A fundamental challenge that spans nearly all areas of evolutionary biology is the development of effective techniques for analyzing the unprecedented amount of genomic data that has become readily available within the last decade. Such data present specific challenges for the area of phylogenetic inference, which is concerned with estimating the evolutionary relationships among collections of species, populations, or sequences. These challenges include development of evolutionary models that are sufficiently complex to be biologically realistic while remaining computationally tractable; deriving and implementing algorithms to efficiently estimate phylogenetic relationships that use models whose theoretical properties are well-understood and therefore interpretable; and devising ways to scale novel methodology developed to handle datasets that are increasingly large and complex.
This semester program brings together mathematicians, statisticians, computer scientists, and experimental biologists to address the challenges involved in genome-scale phylogenetic inference. An overarching goal is to unite biologically-sound modeling with algorithms that can be implemented in a computationally tractable manner and that scale as both the number of species and the amount of genetic data increase. Specific topics to be investigated include: theory and practice of model-based inference for trees and networks, combinatorial and algebraic approaches for inferring phylogenies, software and algorithm development for inference and visualization, Bayesian approaches to phylogenetic inference, models for phylogenetic diversity and node dating, and methods for assessing model fit.
This semester program brings together mathematicians, statisticians, computer scientists, and experimental biologists to address the challenges involved in genome-scale phylogenetic inference. An overarching goal is to unite biologically-sound modeling with algorithms that can be implemented in a computationally tractable manner and that scale as both the number of species and the amount of genetic data increase. Specific topics to be investigated include: theory and practice of model-based inference for trees and networks, combinatorial and algebraic approaches for inferring phylogenies, software and algorithm development for inference and visualization, Bayesian approaches to phylogenetic inference, models for phylogenetic diversity and node dating, and methods for assessing model fit.
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Semester Schedule
Wednesday, September 04, 2024
Theory, Methods, and Applications of Quantitative Phylogenomics
9:00 AM - 4:00 PM EDT
Check In/ Registration
Check In - 11th Floor Collaborative Space
3:00 - 3:30 PM EDT
Coffee Break
11th Floor Collaborative Space
Thursday, September 05, 2024
Theory, Methods, and Applications of Quantitative Phylogenomics
9:30 - 10:00 AM EDT
ICERM Director and Organizer Welcome
Welcome - 11th Floor Lecture Hall
Session Chair
Brendan Hassett, ICERM/Brown University
10:30 - 11:30 AM EDT
Director/Organizer Meeting
Meeting - 11th Floor Conference Room
12:00 - 1:00 PM EDT
Postdoc/Graduate Student Meeting with ICERM Director
Meeting - 11th Floor Lecture Hall
1:00 - 2:00 PM EDT
Meet and Greet Mentors
Other - 11th Floor Collaborative Space
3:00 - 3:30 PM EDT
Coffee Break
11th Floor Collaborative Space
Friday, September 06, 2024
Theory, Methods, and Applications of Quantitative Phylogenomics
10:00 - 10:10 AM EDT
Martin Frohn Introduction
Post Doc Intro - 11th Floor Lecture Hall
Martin Frohn, Maastricht University
10:10 - 10:20 AM EDT
Marina Garrote López Introduction
Post Doc Intro - 11th Floor Lecture Hall
Marina Garrote López, Max Planck Institute for Mathematics in the Sciences
10:20 - 10:30 AM EDT
Gillian Grindstaff Introduction
Postdoc Intro - 11th Floor Lecture Hall
Gillian Grindstaff, Oxford University
10:30 - 10:40 AM EDT
Max Hill Introduction
Postdoc Intro - 11th Floor Lecture Hall
Max Hill, University of California, Riverside
10:40 - 10:50 AM EDT
Joshua Justison Introduction
Postdoc Intro - 11th Floor Lecture Hall
Joshua Justison, Iowa State University
10:50 - 11:00 AM EDT
Sungsik Kong Introduction
Postdoc Intro - 11th Floor Lecture Hall
Sungsik Kong, University of Wisconsin-Madison
11:00 - 11:10 AM EDT
Dimitrios Diamantidis Introduction
Postdoc Intro - 11th Floor Lecture Hall
Dimitrios Diamantidis, Indiana University, Bloomington
2:00 - 2:05 PM EDT
Aviva Englander Introduction
Graduate Student Intro - 11th Floor Lecture Hall
Aviva Englander, University of Wisconsin Madison
2:05 - 2:10 PM EDT
Niels Holtgrefe Introduction
Graduate Student Into - 11th Floor Lecture Hall
Niels Holtgrefe, Delft University of Technology
2:10 - 2:15 PM EDT
Bryson Kagy Introduction
Graduate Student Intro - 11th Floor Lecture Hall
Bryson Kagy, North Carolina State University
2:15 - 2:20 PM EDT
Ikenna Nometa Introduction
Graduate Student Intro - 11th Floor Lecture Hall
Ikenna Nometa, University of Hawaii Manoa
2:20 - 2:25 PM EDT
Benjamin Teo
Graduate Student Intro - 11th Floor Lecture Hall
Benjamin Teo, University of Wisconsin-Madison
4:00 - 4:30 PM EDT
Informal Tea
Coffee Break - 11th Floor Collaborative Space
