Himesh Bhatia was born in Dubai to Indian parents and grew up in four different countries, namely UAE, Canada, Netherlands, and Hungary, which gave him a unique perspective of different cultures. From a young age, he was taught the UN Millennium Development Goals to improve the basic living conditions of human beings and he is inspired by the organisation’s core values. Recently, Himesh graduated with a Master of Applied Mathematics and Engineering at Queen’s University with a focus in machine learning. He has a strong technical background in applied mathematics, statistics, and computer science. As a Master student, he researched machine learning algorithms called Generative Adversarial Networks (GANs) that analyze large unstructured datasets and generate fake data with applications in time series predictions. Himesh is passionate about contributing to the WaSH disease risk research project, which has the potential of effecting positive change by developing risk indices and improving existing prediction models.