I am a statistician who has supported the analysis and design of clinical research studies for the past 5 years, including Phase III multicenter drug trials, Cluster randomized trials and observational studies. I have experience in managing bid datasets for both clinical trials and observational studies. Currently, I am a statistician based at the MRC/UVRI and LSHTM Uganda Research unit. Isaac holds a master’s degree in medical statistics at LSHTM and is currently a PhD student at LSHTM. I recently completed a training course for Data Science and Machine Learning: Making Data-Driven Decisions with the Massachusetts Institute of Technology. Isaac’s other current work involves the use of Machine learning methods to develop a Prediction model for diabetes using machine-learning methods: A case study in rural Uganda. (Early career small grant: Funded by NIHR) I will be leading the data science component of the study with support and guidance from the senior biostatistician from the London School of Hygiene and Tropical Medicine.