Kasey Matthews, Data Scientist, Zest AI
At Zest, Kasey focuses on helping innovative lenders and financial regulators adopt technologies that will reduce algorithmic bias in consumer lending. Currently she is developing a more accurate race predictor to improve the fidelity of proxy identification in fair lending analysis. Previously she worked at LawyerMetrix on diversity initiatives, focusing on the impact of language in hiring and performance reviews on diversity goals in the legal field. She earned her MS in Applied Statistics from West Chester University and BS in Applied Mathematics from the University of Tulsa.