Summary
Connor Bottrell is an astrophysicist and Forrest Research Foundation Fellow with 11 years’ experience applying statistics, machine learning, and high-performance computing to understand galaxy formation and collisions. He designs and runs experiments on world-class observatories and supercomputers, translating complex simulation outputs into observationally meaningful insights. His work blends rigorous statistical methods, convolutional neural networks, and bespoke Python pipelines to quantify biases from survey limitations and to generate realistic synthetic galaxy images. Connor has led multiple projects from MSc through postdoctoral fellowships, producing first-author publications and coordinating multi-institution collaborations. Based in Perth, he brings a rare combination of hands-on numerical simulation expertise and practical data-science engineering, including SQL-backed data architectures and HPC workflow development. He often focuses on the observational edge cases where simulation and telescope realities diverge, revealing where our interpretations of galaxy interactions can be most misleading.
11 years of coding experience
1 year of employment as a software developer
Master of Science (M.Sc.), Astronomy and Astrophysics, 1st Class, Master of Science (M.Sc.), Astronomy and Astrophysics, 1st Class at University of Victoria
French, English