Summary
Daniel Walker is a research associate and data-savvy astrophysicist with nine years of experience building automated pipelines and delivering science-ready products for large radio and sub-millimetre surveys. He combines deep expertise in Python-based data analysis, statistical modelling, and interferometric calibration with hands-on observatory operations (ALMA) and large international collaboration leadership. At Manchester he leads automation efforts to turn terabyte-scale datasets into enhanced archival products while mentoring students and supporting UK radio astronomers. His work spans Bayesian multi-wavelength modelling to production-grade pipeline engineering, reflecting a rare blend of theoretical insight and practical software tooling. Daniel is comfortable operating in both academic and consultancy settings, recently taking on a senior data science consultancy role while continuing research and outreach. Colleagues value his knack for turning messy, enormous datasets into reproducible science and for building living projects that evolve as new data arrive.
9 years of coding experience
2 years of employment as a software developer
Master’s Degree, Astrophysics, 1st Class, Master’s Degree, Astrophysics, 1st Class at University of Liverpool
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Liverpool John Moores University
English, Spanish