Edward Morris
Data Scientist
South Hams, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEdward Morris is a data scientist with a strong 15-year track record applying numerical algorithms and machine learning to large, complex geophysical and industrial datasets. He blends deep domain expertise in inversion, optimisation and seismic/EM methods with practical deployment skills using Matlab, Python, TensorFlow/Keras and PyTorch to deliver both research insights and operational solutions. At Malvern Panalytical he focuses on extracting maximal value from instrument data—ranging from regression and classification to Mask R-CNN object detection—while previously driving predictive monitoring and reservoir characterization at energy companies. A natural autodidact, he is actively broadening his stack with database technologies and manifold learning approaches, and has a reputation for reliable problem-solving under pressure. His background includes a PhD in applied electromagnetic geophysics and long-standing professional memberships (SEG, EAGE, FRAS), reflecting a rare combination of academic rigour and applied engineering. Based in South Hams, England, he thrives on translating sophisticated numerical theory into tangible business impact across industries.
8 years of coding experience
1 year of employment as a software developer
BSc (Hons) 1st Class, Geophysics, BSc (Hons) 1st Class, Geophysics at University of SouthamptonA levels, Geography (A), physics (A), Maths (B), A levels, Geography (A), physics (A), Maths (B) at Chesham High Grammar School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (113)
apache-spark10
benchmark10
cox-regression10
parallel10
python10
toolbox10
model-management10
hyperparameter-optimization10
deep-learning10
automl10
gpu10
faster-rcnn10
ray10
optimization10
openmmlab10
Programming languages (5)
Github contributions (5)
ecm200/caltech_birds
Jun 2020 - Oct 2021
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
Contributions:19 releases, 209 commits, 12 PRs in 1 year 4 months
pytorchdeep-learningfine-grainedconvolutional-neural-networkneural-networks
ecm200/NeuralNetworks
Nov 2019 - Jan 2020
Contributions:7 pushes, 1 branch in 2 months
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