プロフィール詳細

プロジェクトを作成

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Matthew A.に依頼

United Kingdom

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

プロフィール概要

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

専門分野

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

サービス

• Writing

Writing Technical Writing

職務経験

Freelancer

Kolabtree

6月 2025 - 現在

学歴

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

認定資格

• Data Ethics, AI and Responsible Innovation

  edX

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

  4月 2020 - 現在

出版物

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). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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.