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Hire Matthew A.

United Kingdom

USD 50 /hr

PhD Machine Learning Researcher | Deep Learning | Medical Imaging | Academic Proofreader

Profile Summary

I am a machine learning specialist with PhD-level expertise (viva pending) in developing deep learning models for complex real-world problems, particularly in clinical and medical imaging contexts. My work spans predictive modelling and image segmentation across diverse data types, including post-treatment visual acuity prediction from OCT scans and 3D segmentation of MRI and CT data. A key focus of my research is building robust, data-efficient models that perform reliably under real-world constraints. My work is backed by a strong publication record in peer-reviewed journals and conferences. I am highly proficient in Python, PyTorch, and core scientific libraries, delivering full-stack deep learning solutions. As a native English speaker and published researcher, I also offer expert proofreading and editing services for academic manuscripts in machine learning, computer vision, and medical imaging. GitHub: github.com/muanderson Google Scholar: scholar.google.com/citations?user=3PXeB9wAAAAJ&hl=en

Subject Matter Expertise

• ☆ Computer Science
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision

Services

• Writing

Writing Technical Writing

Work Experience

Freelancer

Kolabtree

June 2025 - Present

Education

PhD Computer Science

Newcastle University

2021 - 2025

MSc Machine Learning and Deep Learning

University of Strathclyde

2019 - 2020

BEng (Hons) Mechanical Engineering

University of Dundee

2015 - 2020

Certifications

• Data Ethics, AI and Responsible Innovation

  edX

  https://courses.edx.org/certificates/e295f7b3c3e04a0a9916b1ec8fa8d861

  April 2020 - Present

Publications

CONFERENCE PAPER

Matthew Anderson, Veronica Corona, Agnieszka Stankiewicz, Maged Habib, David H. Steel, Boguslaw Obara(2025). Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets . Medical Imaging with Deep Learning.

JOURNAL ARTICLE

Anderson, Matthew, Sadiq, Salman, Nahaboo Solim, Muzammil, Barker, Hannah, Steel, David H., Habib, Maged, Obara, Boguslaw(2023). Biomedical Data Annotation: An OCT Imaging Case Study . Journal of Ophthalmology. 2023. (1). p. 5747010.

Anderson, Matthew, Vint, David, Yang, Yuhao, Ilioudis, Christos, Di Caterina, Gaetano, Clemente, Carmine(2021). Automatic Target Recognition for Low Resolution Foliage Penetrating SAR Images Using CNNs and GANs . Remote Sensing.