Fraser Macfarlane
Machine Learning Research Scientist at University of Strathclyde
Macclesfield, England, United Kingdom
Summary
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Senior🎓
Top SchoolFraser Macfarlane is a machine learning research scientist with 11 years of applied experience in digital signal and image processing, currently based at The James Hutton Institute and pursuing a BAE Systems/EPSRC-funded PhD at the University of Strathclyde. He combines hands-on hardware and software expertise—having prototyped a hyperspectral crop camera and built multi-view stereoscopic systems for 3D facial mapping—with machine learning for tasks from crop phenotyping to non-destructive nuclear inspection. His work spans hyperspectral imaging (HSI), GIS and phenotyping, translating novel sensing techniques into practical classification and fault-detection solutions. Fraser’s background in electronic and electrical engineering (First-Class honours) and industry-coupled research gives him a strong footing in both academic rigour and real-world deployment. Colleagues describe him as an "Image Magician" for his knack for extracting actionable insight from complex spectral and spatial data.
11 years of coding experience
Paisley Grammar SchoolBachelors of Engineering (BEng), Electronic and Electrical Engineering, First Class Honours, Bachelors of Engineering (BEng), Electronic and Electrical Engineering, First Class Honours at University of Strathclyde
Github Skills (22)
python10
image-processing10
annotations10
classification10
semantic-segmentation10
polygon10
image-annotation10
rectangle10
deep-learning10
instance-segmentation10
computer-vision10
keras9
segmentation8
mask7
object-detection7
Programming languages (2)
Github contributions (5)
f-macfarlane95/Advent-of-Code
Nov 2021 - Jun 2022
Contributions:55 commits, 49 pushes in 6 months
f-macfarlane95/f-macfarlane95
Jun 2022 - Aug 2024
Contributions:14 pushes, 1 branch in 2 years 2 months
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