Muhammad Musib Siddique

Dr Muhammad Siddique is a Researcher in the Oxford Translational Cardiovascular Research Group at the University of Oxford. He holds advanced degrees in Engineering from Imperial College London and combines expertise in scientific computing, machine learning, and medical imaging to develop AI-powered technologies for predicting cardioembolic stroke using cardiovascular imaging data.

Education:

• MSc in Engineering, Imperial College London
• PhD in Engineering, Imperial College London

Research Interests: His work focuses on automated segmentation and classification of medical images, particularly in cardiovascular contexts, using deep learning and radiomic analysis. He also specializes in big data architecture and software development for healthcare applications.

Contributions: Dr Siddique has co-authored over 70 research articles, with a focus on predictive modeling, medical image segmentation, and analysis of PET/CT/MRI modalities. His technical skills span Python, C++, and Apache ecosystem tools like Hadoop and Spark.