Summary
Peter Goodin is a data specialist and PhD-trained computational neuroscientist with 11+ years applying statistical, ML and signal-processing methods to clinical, time-series, image and tabular datasets. He has led neuroimaging and wearable-sensor projects for hospitals and research institutes, built analysis pipelines and databases, and delivered applied ML for stroke and seizure detection as well as heart-health signal consulting. Comfortable across SQL/NoSQL, Python, R, Matlab and cloud tooling, he blends hands-on model development with data infrastructure and MLOps experience from academia to industry. He also teaches data science and has designed psychometric and VR experiments, reflecting a rare mix of rigorous research, product-oriented development and instructional practice. Outside core work he’s exploring VR product design and ways to scale organisational data maturity — and quietly trying to improve his notoriously bad guitar playing.
11 years of coding experience
17 years of employment as a software developer
Diploma Liberal Arts and Sciences/Liberal Studies, Diploma Liberal Arts and Sciences/Liberal Studies at Centre for Adult Education
Doctor of Philosophy (Ph.D) Computational Neuroscience of Major Depressive Disorder, Doctor of Philosophy (Ph.D) Computational Neuroscience of Major Depressive Disorder at Swinburne University of Technology
English, basic german