Summary
Vincent Morello is a data processing software engineer with eight years’ experience building and deploying high-throughput, real-time scientific computing pipelines for next-generation radio telescopes. As lead developer of the SKA-Mid radio imaging self-calibration pipeline, he combines algorithm design, ML-informed signal processing, and pragmatic performance engineering to turn research ideas into production at scale. His PhD and subsequent roles produced demonstrable gains—e.g., a 40% higher detection rate, 10x fewer false positives, and multi-fold speedups by replacing GPU kernels with optimized CPU code—showing a knack for finding non-obvious optimization wins. Comfortable across full-stack system design, distributed HPC orchestration, and mentoring junior engineers, he sits at the intersection of data science and software engineering. Based in Liverpool, he brings deep domain expertise in radio astronomy and a proven record of converting complex theory (including formal proofs around optimal search algorithms) into robust, deployable pipelines.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at The University of Manchester
Machine Learning by Standford University, Machine Learning, 100%, Machine Learning by Standford University, Machine Learning, 100% at Coursera
Master of Science - MSc by Research, Astronomy and Astrophysics, Master of Science - MSc by Research, Astronomy and Astrophysics at Swinburne University of Technology
English, French