Ramzi Jaber
Summary
PhD-qualified lecturer and researcher in data science for applied AI, with demonstrated expertise in developing machine learning solutions for real-world healthcare applications. Bring a distinctive teaching approach to data science, applied AI, and advanced statistical and machine learning methods, bridging technical concepts with practical implementation to prepare students with industry-ready skills. Partnered with clinicians in the NHS and abroad to develop AI-driven clinical decision-support tools used in real patient assessments. Led a multi-site clinical data collection study capturing 1,000 Parkinson’s disease motor examinations and secured ethical approval to deploy my automated assessment method in multiple hospitals, achieving 95% accuracy in predicting symptom severity across 460 patients. Research impact demonstrated through international news coverage, peer-reviewed publications, and conference presentations. Hands-on experience in patient recruitment and data acquisition, transforming complex data into clinically meaningful insights to support interpretable decision-making through advanced computational and image processing techniques.
Overview
8
8
years of professional experience
8
8
years of post-secondary education
Work history
Lecturer in Data Science for Applied AI
University of Bradford
09.2023 - 12.2025
- Module Leader responsible for end-to-end curriculum development, creating course content, hands-on labs, and industry-aligned outcomes.
- Supervised MSc and undergraduate research projects, supporting students in advanced data analysis, model development, and academic writing.
- Transformed students' understanding of core data science and machine learning concepts by leading them through real clinical datasets, exploratory analysis, data processing, feature engineering, statistical and machine learning modelling, and interpretation within full analytical workflows.
Clinical Data Collection
Federal University of Paraná, Brazil
04.2024 - 06.2024
- Designed and led an ethically approved multisite clinical data collection study capturing 1,000 video-recorded Parkinson’s motor assessments coupled with clinician ratings for Parkinson’s disease research.
- Received international news coverage following the deployment of a novel end-to-end machine learning pipeline in the neurology departments of two hospitals, achieving 95% accuracy in predicting disease severity.
- Partnered with the Parkinson’s disease society of Paraná, Brazil for patient recruitment and direct engagement.
- Collaborated with neurologists and researchers to design a comprehensive data collection protocol, integrating diagnostic criteria, clinical standards, and anonymised video acquisition into the assessment framework.
Leader of IET-on-Campus
University of Bradford
01.2020 - 01.2023
- Organised cross-disciplinary, industry-facing research events in partnership with the Institution of Engineering and Technology (IET), promoting emerging technologies and engineering career pathways.
- Coordinated logistics, speaker engagement and student outreach, enhancing engagement in AI for healthcare.
- Developed communication, leadership and stakeholder management skills through event planning and academic–industry collaboration.
Computer Laboratory Assistant
University of Bradford
01.2019 - 06.2019
- Provided hands-on support to Computer Science students in Python and computational logic development.
- Demonstrated core principles of data structures, algorithms and machine learning frameworks.
- Strengthened teaching and technical mentorship abilities in a peer-assisted learning environment.
Engineering Intern
Radio Design
05.2018 - 07.2018
- Conducted process flow analysis to improve sub-assembly line efficiency by optimising workflow constraints.
- Developed real-time monitoring systems using industrial tools to track production and reduce downtime.
- Performed RF filter calibration and signal integrity analysis using Vector Network Analysers.
- Diagnosed product defects using automated inspection systems, enhancing fault detection accuracy.
Education
PhD - Computer Science
University of Bradford
10.2019 - 01.2025
BEng - Medical Engineering
University of Bradford
09.2016 - 07.2019
Skills
- Programming: Python (Tensorflow, Scikit-learn, Keras, PyTorch, NumPy), MATLAB
- Machine Learning: End-to-end pipelines, classification, supervised/unsupervised learning, model validation
- Computer Vision: Image & real-time video processing, 2D/ 3D tracking techniques, image annotation
- Data & Statistical Analysis: Multivariate analysis, signal processing, feature extraction, PCA, ANOVA, correlation & regression analysis, computational methods, data visualisation (Matplotlib, Seaborn, Plotly)
- Scientific Writing: Peer-reviewed publications, conferences, international news coverage
- Data Acquisition: Data collection & ethical protocols, multimodal sensor data integration, biomechanics
Languages
English
Fluent
Hungarian
Fluent
Arabic
Intermediate
Accomplishments
Publications and Conferences:
- Jaber, R. et al. (2025) ‘Computer vision versus wearables assessment of the up-on-the-toes 30-second test’, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.
- Jaber, R. et al. (2021) ‘Proposing a three-stage model to quantify bradykinesia on a symptom severity level using Deep Learning’, Advances in Intelligent Systems and Computing.
- Hoffmann, G.O., Borba, E., Casarotto, E.H., Devetak, G.F., Jaber, R., Buckley, J.G., Rodacki, A.L.F.(2024) ‘Smartphone assessment of the sitting heel-rise test’, Sensors.
- Best paper award at 4th Annual Innovative Engineering Research Conference (AIERC 2021).
- 20th UK Workshop on Computational Intelligence (UKCI 2021).
News Channel Appearance:
- Featured in Meio Dia Paraná, Curitiba, Brazil (2024) – [View Link]
Timeline
Clinical Data Collection
Federal University of Paraná, Brazil
04.2024 - 06.2024
Lecturer in Data Science for Applied AI
University of Bradford
09.2023 - 12.2025
Leader of IET-on-Campus
University of Bradford
01.2020 - 01.2023
PhD - Computer Science
University of Bradford
10.2019 - 01.2025
Computer Laboratory Assistant
University of Bradford
01.2019 - 06.2019
Engineering Intern
Radio Design
05.2018 - 07.2018
BEng - Medical Engineering
University of Bradford
09.2016 - 07.2019