Professional Resume
Dr. Jonathon Gibbs • Postdoctoral Researcher • Machine Learning & Computer Vision Specialist
Professional Summary
As a profoundly deaf data scientist, I have successfully adapted my working practices to excel in both academia and industry, developing innovative deep learning and data-driven solutions to complex problems. My expertise encompasses machine learning, computer vision, and robotics, with particular focus on 3D reconstruction, plant phenotyping, and automated systems. Currently advancing through professional certificates from Stanford and Imperial College London while conducting cutting-edge research at the University of Nottingham. My research has led to multiple high-impact publications on deep learning applications for computer vision, particularly in 3D/4D reconstruction and plant movement modelling for photosynthesis analysis. Proven track record of improving operational efficiency and productivity in commercial settings, with expertise spanning Python development, large-scale data analysis, and robotic system design.
Education & Certifications
Professional Certificate in Artificial Intelligence: Principles and Techniques
Advanced study in AI foundations, machine learning algorithms, and practical AI applications.
Professional Certificate in Natural Language Processing with Deep Learning
Specialised training in NLP techniques, transformer architectures, and language model development.
Professional Certificate in Machine Learning and Artificial Intelligence
Advanced study in machine learning techniques, deep learning, and AI applications.
PhD in Computer Science, Computer Vision and Robotics
Research focused on 3D reconstruction of crowded scenes from multiple views using active vision, developing novel algorithms for plant phenotyping and robotic automation.
BSc (Hons) Software Systems (First Class)
Specialised in software development and systems architecture. Received the award of Most Outstanding Project from IBM for dissertation.
Professional Experience
Research Associate
Designed and optimised advanced algorithms for processing large-scale, high-dimensional datasets, enabling feature extraction and trend identification at scale. Developed deep learning models (Python, CUDA, LUA) for complex recognition tasks and robotic automation systems (C#, C++) to streamline key processes. Conducted comprehensive data analysis and mining, creating custom optimisation and visualisation tools to enhance interdisciplinary collaboration.
Key Achievements:
- •Developed StomaGAN framework using GANs for automated plant analysis, published in high-impact journals
- •Published 12+ peer-reviewed papers with 250+ total citations in top-tier computer vision and plant science journals
- •Created StomataHub.com platform for open scientific collaboration, facilitating global research networks
- •Led cross-disciplinary projects leveraging computer vision and deep learning for innovative plant phenotyping solutions
- •Mentored junior researchers and PhD students on machine learning techniques and project development
- •Collaborated on multi-institutional projects including partnerships with China University
- •Delivered high-level presentations on complex computational models to diverse academic and industry audiences
Prescribing Analyst
Engineered sophisticated SQL-based data pipelines using T-SQL, SSIS, and SSRS to extract, transform, and analyse prescribing data at massive scale. Developed automated analytical frameworks to generate real-time performance metrics, enabling data-driven decision-making for senior healthcare stakeholders.
Key Achievements:
- •Built enterprise-scale data pipelines processing millions of prescribing records with high reliability
- •Developed automated analytical frameworks generating real-time performance metrics for healthcare decision-making
- •Conducted advanced statistical modelling and trend analysis supporting predictive forecasting and comparative studies
- •Designed and delivered targeted SQL analytics training sessions, enhancing data literacy among healthcare professionals
- •Optimised complex database queries and ETL processes, achieving significant performance improvements
Senior Analyst / Manager of Finance
Engineered comprehensive in-house data analytics system to manipulate millions of datapoints, integrating large-scale ETL processes for real-time financial modelling and performance tracking. Automated forecasting and budgeting tools using Python, SQL, and statistical analysis. Leveraged machine learning and A/B testing to optimise pricing models, user engagement strategies, and revenue growth.
Key Achievements:
- •Solely developed enterprise-scale data analytics system processing millions of datapoints for real-time financial intelligence
- •Implemented machine learning algorithms and A/B testing frameworks for pricing optimisation and revenue growth
- •Created automated forecasting and budgeting tools using Python and SQL, significantly improving financial accuracy
- •Designed and built company-wide timekeeping, project management, and workflow automation software from scratch
- •Led development teams in creating data analysis tools that enhanced decision intelligence across the organisation
- •Integrated large-scale ETL processes enabling real-time financial modelling and comprehensive performance tracking