Ammar Alvi

I am a data scientist at the Big Data Institute where I work with Dr. Goylette Chami (Big Data and Helminth Epidemiology Research Group) on schistosomiasis in Uganda. My role involves the management, wrangling, and analysis of multi-dimensional data, including surveys, images, and spatio-temporal data. 

Prior to my work with the Big Data Institute, I graduated with an MSc Artificial Intelligence and Machine Learning from the University of Birmingham. My thesis focused on developing a tool that bridges the communication gap between sign language users and English language speakers by utilising the power of computer-vision to convert finger spelling sign language to text and further enhancing the text predictions with natural language processing.

Outside of work, I enjoy boxing and the study of history.