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Ammar Alvi

Data Scientist

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

Prior to Ammar's work with the Big Data Institute, he graduated with a MSc Artificial Intelligence and Machine Learning from the University of Birmingham. His thesis focussed on developing a tool that bridged 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, he enjoys boxing and the study of history.