Alexander Whitehead
Visiting Fellow at London South Bank University
Hamburg, Germany
Summary
👤
Senior🎓
Top SchoolAlexander Whitehead is a research-focused machine learning engineer specialising in medical imaging, with nine years’ experience translating deep learning and signal-processing methods into clinical tools. His PhD and subsequent research at UCL advanced respiratory motion correction for PET/CT and developed neural survival-analysis and generative CT models for idiopathic pulmonary fibrosis, combining explainable AI with clinically informed biomarkers. He has a strong teaching and mentorship record—lecturing programming to large cohorts and supervising MSc projects—while collaborating closely with clinical teams and presenting at major conferences. Comfortable across C++, Python and MATLAB and frameworks like TensorFlow and PyTorch, he builds end-to-end solutions from signal extraction and denoising to image reconstruction and prediction. Based in Hamburg and now a Visiting Fellow at London South Bank University, he pairs rigorous academic research with practical innovation, and outside the lab pursues creative technical hobbies from 3D printing to film photography and music.
9 years of coding experience
Master of Science (MSc), Computer Science, Distinction, Master of Science (MSc), Computer Science, Distinction at The University of HullUniversity College London
Github Skills (16)
image-reconstruction10
medical-imaging10
biomedical10
mri9
image-registration9
bids9
wxwidgets9
neuroimaging8
spect8
tomography8
image-processing7
imaging7
volume-rendering7
cmake7
qwt6
Programming languages (5)
Github contributions (5)
ALEXJAZZ008008/cv
Jan 2019 - Mar 2025
Contributions:29 pushes, 3 branches in 6 years 2 months
ALEXJAZZ008008/msc_dissertation
Feb 2018 - Dec 2018
Contributions:19 PRs, 93 pushes, 12 branches in 9 months
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