Subas Rana
- Position: Research Software Engineer
- Areas of expertise: Software Engineering, Machine Learning, Data Science, Predictive Modelling, Time Series Forecasting
- Email: S.Rana@leeds.ac.uk
- Location: 858 EC Stoner
- Website: LinkedIn | Googlescholar | ORCID
Profile
I hold a PhD in Computer Science from the University of Georgia, USA, where my research journey began in cloud computing before naturally gravitating toward machine learning and predictive modelling. My doctoral work centred on time series forecasting for infectious disease surveillance, with a particular focus on COVID-19, RSV, and Influenza. This work gave me deep hands-on experience with statistical time series models alongside more recent deep learning architectures, including Graph Neural Networks, Recurrent Neural Networks, and Transformers.
Over five years of research, I have contributed to peer-reviewed publications, presented at international conferences, and built end-to-end machine learning pipelines using Python, PyTorch, scikit-learn, and Scipy, always with an eye on making models that actually work in practice, not just on benchmarks.
At Leeds, I work as a Research Software Engineer on the Bezos Earth Fund project, where my focus is on the engineering side: platform operations, deployment, API development, and database management. Alongside this, I bring my machine learning background to support team members on their research and contribute wherever it is useful to the Food AI lab.
Qualifications
- PhD in Computer Science, University of Georgia, USA
- Bachelors in Computer Science, COMSATS University, Islamabad, Pakistan