I enjoy exploring the impact of big data in radiation oncology treatment outcomes. Data science is one of those broad terms that can mean different things to different people. Coupling my medical physics experience in it, gives me the advantage of building a bridge between the data science and a machine like a linear accelerator or a CT scanner.I value pure and fair research in radiation oncology.
My main research focuses on F.A.I.R (Findable, Accessible, Interoperable, Reusable) data in radiation oncology. I have experience on data cleaning for prediction modelling in radiation oncology, machine learning and statistics in medical physics.