Abas is a mathematician drawn to the way a handful of precise assumptions can say something surprising about the world.
That interest extends to statistics and machine learning, particularly the models that turn data into predictions and decisions. They are powerful, but only as fair as the data and assumptions behind them, and their workings are often hidden from the people they affect.
Abas hopes to use data visualization to open up these black boxes so that people from all backgrounds can understand and question the decisions they inform.