- 2018-Present – PhD Aspirant Texas Tech
- 2018 – M.S. University of Kansas
- 2014 – B.A. Cornell University
Fundamentally, I study the processes that drive avian diversification and speciation. More specifically, I’m interested in cataloguing the evolutionary history of populations using a combination of molecular, phenotypic, and niche modeling data. For my PhD thesis, I will implement these approaches to better understand the evolutionary dynamics of avian taxa that are restricted to the pine-oak forests of North and Central America.
- 2020-Present – M.S. Student Texas Tech
- 2020 – B.S. Texas Tech University
I am interested in the microbial community of Carpenter ants, specifically the factors governing the structure of the microbial community. I am also interested in using genomic techniques to study the evolution and ecology of the obligate symbiont found in Carpenter ants.
- Sarah Baty (undergrad research)
- 2019-2020 – woodpecker genomics – now Ph.D. student at ASU
- Brandon Meadows (undergrad research)
- 2019-2020 – ant microbiomes – now M.S. student at TTU
Join the research group!
Do studying birds or other organisms, going out in the field, and learning bioinformatics sound fun to you? If you are potentially interested in joining the research group, please send me an introductory email to jdmanthey (at) gmail.com. Please include a CV/resume, and a small description of how your interests and the topics our group studies complement each other. Check out the opportunities page.
Current Collaborations (alphabetical):
Stepfanie Aguillon, Cornell: Woodpecker genomics
Stéphane Boissinot, New York University Abu Dhabi: Genomics, TEs
Luke Campillo, University of Hawaiʻi at Mānoa: Avian evolution, species delimitation
Ben Marks, Field Museum: Ethiopian bird biodiversity genomics
Matt Miller, University of Oklahoma: Woodpecker genomics
Rob Moyle, University of Kansas: Island biogeography and genomics
Garth Spellman, Denver Museum: Avian population genomics
Meheretu Yonas, Mekelle University: Ethiopian bird biodiversity genomics