Dr Phillip Tully
Research fellow on the DVC early career research fellowship scheme.
I am an internationally-known expert in the statistical analysis of organismal form, which I apply to the study of morphological evolution at macroevolutionary scales. I am co-author of the widely used R package geomorph (http://geomorphr.github.io/geomorph/) for statistical analysis of multivariate and multidimensional data. Reptiles and amphibians are my passion, but I have worked on a diverse array of taxa including rabbits and mice, caecilian amphibians, Anolis lizards, bivalved scallops, and larval frogs.
I am leading a machine learning team developing efficient algorithms and systems that can evolve and learn from massive amounts of data in almost any domain, and be capable of reasoning and decision making with super-human performance.
Ian Reid's research interests span a wide range of topics in Computer Vision and Machine Learning, with a particular interest in using cameras as sensors for robotic applications such as for autonomous vehicles.
I'm currently a lecture in the Optimisation and Logistic group in the School of Computer Science of University of Adelaide. My research interests include:
Genetic and Evolutionary Algorithms
Atma Ivancevic is a postdoctoral researcher at the Adelaide Medical School, Neurogenetics Research Program. Her background includes an undergraduate degree in mathematics, recently conferred PhD in bioinformatics (awarded the Dean's Commendation for Doctoral Thesis Excellence), and several attempts at freelance science writing. Her current project in the Gecz lab (@GeczSquadGoals) involves designing and optimizing pipelines to identify the genetic causes of intellectual disabilities, particularly epilepsy and cerebral palsy.