2021-2022 CCSRE Race & Technology Practitioner Fellow
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.