Summary
Benjamin Pope is an astrophysicist and statistical data scientist with 11 years of experience applying machine learning to detect exoplanets from NASA space telescope data. He is an Associate Professor of Statistical Data Science at Macquarie University, after research and teaching roles at the University of Queensland and a NASA Sagan Fellowship at NYU. His work combines cutting-edge signal-processing and probabilistic methods to extract tiny planetary signals from noisy data, and he contributed to the optical design of Australia's Toliman space telescope and the discovery of the unusual star system Apep. An award-winning communicator, he regularly translates complex science for the public through articles, radio, talks, telescope tours and even live comedy, with writing included in Best Australian Science Writing. He holds a PhD in Astrophysics from Oxford and a University Medal from the University of Sydney, blending top-tier academic training with hands-on instrument and data science experience.
11 years of coding experience
Study Abroad, Physics, Study Abroad, Physics at University of California, Berkeley
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of Oxford
The University of Sydney