Bio
Jarrod is a Radio Frequency Scientist in the Electromagnetic Environment (EME) group within DARe. His background is in mathematics, having completed an MMath at the University of Oxford and a PhD in applied differential geometry at Queen Mary University of London. Subsequently, he held a Junior Research Fellowship at the Erwin Schrödinger Institute and a PDRA position at the University of Bath, working on non-smooth optimisation and inverse problems (mostly computational imaging).
In his current role, he works on problems in radio communications, including low-probability-of-intercept signal detection and modulation recognition. His broader interests include physics-constrained deep learning and the intersection of machine learning and geometry.