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Global Infectious Disease Research

Friday, April 18, 2014
   
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Laura Kubatko, Ph. D.

Email: 
lkubatko@stat.osu.edu
Phone: 
(614) 247 - 8846
Position: 
Associate Professor
Department: 
Statistics
Specialization: 
Statistical genetics
Degree: 
Ph.D., Biostatistics, Ohio State University (1999)
Degree: 
M.S., Biostatistics, Ohio State University (1996)
Degree: 
B.A., Mathematics, Hiram College (1994)
Webpage: 
http://www.stat.osu.edu/~lkubatko
Additional Information: 

Research:

  • My research interests are in the area of statistical genetics, with a focus on the development of statistical methods for inferring phylogenies from molecular data. My recent work in this area is focused on bridging the gap between traditional phylogenetic techniques and methodology used in population genetics analyses, primarily through the application of coalescent theory to species-level phylogenetic inference. I have also worked in other areas of statistical genetics, including microarray data analysis and linkage studies. In addition, I am collaborating with Dr. Veronica Vieland's group on the development of methodology that incorporates coalescent theory into case-control association studies.

Recent extramural grants submitted:

  • Title: Coalescent Modeling for Genetic Mapping in Population-based Samples PI: Laura Kubatko Co-PIs: Veronica Vieland and Christopher Bartlett (Nationwide Children's Hospital) Seed grant from the OSU Institute for Population Research under NIH 1 R21 HD047943-01 August 2008-July 2009 $15,000.
  • Title: BioMathletic Training: Creating the Next Generation of BioMath Stars at Ohio State University PI: Ian Hamilton Co-PIs: Janet Best, Laura Kubatko, Yuan Lou, Elizabeth Marshall, Tony Nance Grant from the National Science Foundation (DBI 0827256) September 2008-August 2011 $883,512.
  • Title: Inferring Species Phylogenies Under the Coalescent Model with Hybridization PI: Laura Kubatko National Science Foundation (DEB 0842219) February 2009 - January 2012 $226,946
  • Title: COLLABORATIVE RESEARCH: Estimating Species Trees with Population Genetic Approaches: Working Towards a New Phylogenetic Paradigm for 21st Century Phylogenetics co-PIs: L. Lacey Knowles (University of Michigan component); Laura Kubatko (Ohio State University component) August 2009 - July 2011 $188,375 (OSU component)

Recent published articles:

  • Efromovich, S and L Salter Kubatko. 2008. Coalescent time distributions in trees of arbitrary size, Statistical Applications in Genetics and Molecular Biology: Vol. 7: Iss. 1, Art. 2.
  • Meng, C and LS Kubatko. 2009. Detecting hybrid speciation in the presence of incomplete lineage sorting using gene tree incongruence: A model, Theoretical Population Biology 75:35-45.
  • Brock, G, W Beavis, and L Salter Kubatko. 2009. Fuzzy logic and related methods as a screening tool for detecting gene regulatory networks, Information Fusion 10:250-259 (special issue on Bioinformatics).
  • Brock, G, V Pihur, and L Kubatko. 2009. Detecting gene regulatory networks from microarray data using fuzzy logic, pgs. 141-163, in Fuzzy Systems in Bioinformatics and Computational Biology, edited by Yaochu Jin and Lipo Wang, pages 141-164.
  • Kubatko, L, BC Carstens, and LL Knowles. 2009. STEM: Species Tree Estimation using Maximum likelihood for gene trees under coalescence, Bioinformatics 25(7): 971-973.
  • Liu, L, L Yu, L Kubatko, DK Pearl, and SV Edwards. 2009. Coalescent methods for estimating multilocus phylogenetic trees, Molecular Phylogenetics and Evolution 53(1): 320-328.
  • Melman, SD, ML Steinauer, C Cunningham, LS Kubatko, IN Mwangi, MW Mutuku, DMS Karanja, DG Colley, C Black, WE Secor, N Barker, GM Mkoji, and ES Loker. 2009. Reduced susceptibility of naturally occurring Schistosoma mansoni to praziquantel following repeated exposures: origin, measurement and likelihood of persistence, PLoS Neglected Tropical Diseases 3(8): e504. doi:10.1371/journal.pntd.0000504.
  • Kubatko, LS. 2009. Identifying hybridization events in the presence of coalescence via model selection, Systematic Biology 58(5): 478-488.
  • Boykin, LM, LS Kubatko, and TK Lowrey. 2010. Comparison of methods for rooting phylogenetic trees: A case study using Orcuttieae (Poaceae: Chloridoidea). Molecular Phylogenetics and Evolution 54: 687-700.

Recent abstracts/presentations:

  • "Detecting Hybridization in the Presence of Incomplete Lineage Sorting Using Multilocus Data", Estimating Species Trees Symposium, University of Michigan, January 2009.
  • "Inferring Evolutionary Relationships from Multi-locus Data", Department of Biology, University of Maryland Baltimore County, March 2009.
  • "Distributions Arising on Gene Trees Under the Coalescent Model", Statistical and Applied Mathematical Sciences Institute (SAMSI) Molecular Evolution and Phylogenetics Workshop, April 2009.
  • "Models for Integrating Statistics in Biology Education: The Ohio State University", one of three panelists in CAUSE Webinar, April 2009.
  • "Snakes and Statistics: How Studying One Can Help us Learn about the Other", Ohio Wesleyan University Science Lecture Series, September 2009.
  • "Estimating Evolutionary Relationships among Species Using Multiple Genes", Capital University Computational Sciences Seminar, November 2009.