Fergal Cotter
Lead Applied Scientist at Wayve
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolFergal Cotter is a Lead Applied Scientist at Wayve with 11 years of engineering and research experience, combining a Cambridge PhD in signal processing with hands-on perception work for autonomous driving. He leads teams building segmentation, instance prediction, traffic light detection and depth estimation modules, and champions self-supervised methods like contrastive learning to reduce reliance on costly labels. Deeply interested in the intersection of signal processing and deep learning, he explores wavelet and Fourier theory to improve architectures and optimization in practice. Prior roles in controls and PLC/SCADA engineering give him a pragmatic systems perspective that informs robust, deployable solutions. Based in London, he balances research rigor with production delivery, bringing both theoretical insight and implementation discipline to perception stacks.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Signal Processing, Doctor of Philosophy (PhD), Signal Processing at University of CambridgeBachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at UNSW Australia
English
Stackoverflow
73reputation
11kreached
2answers
1question
Github Skills (120)
hugo-theme10
python10
wavelet10
style-transfer10
deep-learning10
nvml10
netlify10
nvidia10
tensorflow10
dwt10
pytorch10
machine-learning10
filterbank10
wavelet-transform10
r9
Programming languages (7)
Github contributions (5)
fbcotter/py3nvml
Nov 2016 - Apr 2022
Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.
Contributions:6 releases, 1 review, 77 commits in 5 years 5 months
cudapythonnvidiagpustatus
fbcotter/docker-tensorflow-opencv
Oct 2016 - Oct 2018
Contributions:12 commits, 9 pushes, 1 branch in 2 years
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