Fawzia recently defended her Doctorate in Machine Learning from Brunel University of London, specializing in analyzing and mitigating online harm. She focuses on leveraging AI for positive social impact and is a founding member of the Women in Tech Power Network, holding an MSc in Computer Science from Bradley University.
Outside of her academic pursuits, Fawzia is passionate about AI ethics, AI safety, and computational social sciences. She contributes as a part-time Wikipedia editor and is actively involved in networks that support women in technology, driven by a desire to see technology used for good.
Unique fact: Fawzia was a winner at the Hack Hate 2020 competition, where she received the prize for her work on Hate Crime Prediction.
Read the full overview →They are more likely than others to negotiate on pricing and terms. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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