Ashley Williamson
Senior Lecturer at The University of Huddersfield
Sunderland, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAshley Williamson is a Senior Lecturer in Computer Science with 14 years' experience blending applied machine learning research and hands-on teaching across UK universities. She specialises in Python, computer vision and ML, having led and co-authored successful SBRI and DASA bids focused on automated threat detection and RF signal localisation while managing GPU compute infrastructure for sensitive projects. Ashley contributes to prominent open-source work—improving training, evaluation and VOC metrics for the keras-retinanet object detection codebase—to bridge research models and reproducible experiments. As a committed educator she designs and delivers undergraduate and postgraduate modules in data science, computer vision and AI, while supervising projects and driving curriculum revalidation to align with industry needs. An organiser of outreach and practical workshops, she combines rigorous research outputs (including peer-reviewed papers) with pragmatic skills in experiment tracking, model evaluation and teaching practice.
14 years of coding experience
7 years of employment as a software developer
Postgraduate Certificate of Higher Education, Higher Education, Postgraduate Certificate of Higher Education, Higher Education at University of SunderlandPostgraduate Certificate of Academic Practice (PCAP), Education, Postgraduate Certificate of Academic Practice (PCAP), Education at University of HullBachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at University of Lincoln
Stackoverflow
51reputation
2kreached
3answers
1question
Github Skills (18)
python10
machine-learning10
keras10
eval10
tensorflow10
object-detection10
computer-vision10
evaluation9
metric9
argparse9
html6
bitmask6
raspberry-pi6
csv6
php6
Programming languages (16)
Github contributions (5)
fizyr/keras-retinanet
Dec 2017 - Feb 2018
Keras implementation of RetinaNet object detection.
Role in this project:
ML Engineer
ML EngineerContributions:33 commits, 7 PRs, 75 comments in 2 months
Contributions summary:Ashley focused on enhancing the training and evaluation scripts for the RetinaNet object detection model. They added features like snapshot path configuration and tensorboard logging for improved experiment tracking and model saving. Further contributions included the implementation of VOC evaluation metrics and visualisation tools, including mAP calculation, streamlining the model assessment process. The user also improved the testing framework by adding arguments for parameters such as IoU and maximum detections.
deep-learningretinanetcomputer-visionobject-detectiontensorflow
keukpa/STS
Oct 2014 - Nov 2017
Contributions:21 commits, 1 PR, 2 pushes in 3 years 1 month
financestockmarkettrading-systemtrading
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