Summary
Liam Till is a meteorologist and systems manager with 10 years’ experience combining remote sensing, numerical modelling and Python tooling to turn complex atmospheric data into actionable forecasts and probabilistic decision support. Currently completing a PhD at the University of Reading on updraft dynamics using high-resolution radar, he has developed novel vertical-velocity retrieval methods and multi-scan strategies to resolve convective pulses at minute-scale resolution. At EuroTempest he manages systems and produces operational forecasts, and his past roles include developing Monte Carlo and bio-pesticide/locust forecast algorithms that demonstrate his ability to bridge academic insight with applied, data-driven solutions. Equally comfortable working in a lab, in the cloud or on a homelab, he brings strong communication, organisation and a keen interest in applying meteorological science to risk and financial industries.
10 years of coding experience
Understanding the weather, PASS, Understanding the weather, PASS at The Open University
Meteorology, 1:1, Meteorology, 1:1 at University of Oklahoma
BTEC ND Multimedia, DDM, BTEC ND Multimedia, DDM at Sandwell College
MMet, Meteorology, First Class, MMet, Meteorology, First Class at University of Reading
Web Design, 95/120, Web Design, 95/120 at Staffordshire University
A-Levels, AAB, A-Levels, AAB at Wolverhampton College
GCSE Mathematics, A*, GCSE Mathematics, A* at Walsall College
GCSE, GCSE at Wodensborough CTC