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Jazmia Henry

Jazmia Henry

Jazmia Henry seeks to reduce racial and gender bias in sentiment and textual analysis systems through the creation of an African American Vernacular English corpus. She received a Bachelor's Degree from Tulane University in 2016 and a Masters Degree at Columbia University in 2018. She has a background in statistical analysis, Natural Language Processing, Machine Learning, Econometrics, and Politics. She currently works as a Machine Learning Specialist at Motley Fool and has formerly worked for Morgan Stanley and the Hillary Clinton campaign.