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—— About

Dr. Jaimi A. Gray

I am a research scientist at the University of Texas at Austin's High Resolution X-Ray Computed Tomography facility (UTCT). I use Computed Tomography (CT) to create digital representations of objects, and I specialise in contrast-enhanced imaging of vertebrate anatomy using diffusible iodine-based contrast-enhanced CT (diceCT). I am heavily involved in the Non-Clinical Tomography User's Research Network (NoCTURN). I previously worked on the broad-scale digitisation effort, the open Vertebrate (oVert) project. I created digital datasets of specimens from natural history collections, and made them freely available on MorphoSource for researchers, educators, artists, and anybody else. As well as working to digitise objects at a broad scale, I also work with collaborators on focussed anatomy projects including squamate osteology, frog brain morphology, and new species descriptions.
View my CV 

Experience

Research Scientist III

2024 - Now
High Resolution X-Ray Computed Tomography (UTCT) University of Texas at Austin, Austin, Texas

Postdoctoral Associate

2023-2024
Non-Clinical Tomography Users Research Network (NoCTURN) Florida Museum of Natural History, University of FloridaGainesville, Florida
Postdoctoral Associate
2021 - 2023
The open Vertebrate project Florida Museum of Natural History, University of Florida Gainesville, Florida
Postdoctoral Fellow
2019 - 2020
Endeavour postdoctoral Fellowship Oklahoma State University Center for Health Sciences Tulsa, Oklahoma
Postdoctoral Associate
2019 - 2019
Harvestmen weaponry projectUniversity of Auckland Auckland, New Zealand
PhD (Biological Sciences)
2014 - 2018
Skull evolution in the Australian dragon lizards University of Adelaide Adelaide, South Australia
Bachelor of Science (Honours)
2014
Agamid lizard skeleton identification and inferences for Pleistocene distributions University of AdelaideAdelaide, South Australia
Bachelor of Science (Evolutionary Biology)
2011 - 2013
Major: Palaeontology University of AdelaideAdelaide, South Australia

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