Grace Gee is a highly accomplished machine learning engineer currently serving as a Staff Machine Learning Engineer at Enveritas since August 2017. Notable achievements include developing innovative methods for mapping tropical deforestation and creating accurate deep learning models for educational institutions across the Ivory Coast. Grace's experience includes co-founding a health insurance startup based on published research that contributed significantly to the field, and participation in esteemed programs such as the 20 Under 20 Thiel Fellowship and Y Combinator. With a solid academic foundation from Harvard University, where a Bachelor’s Degree in Applied Mathematics in Statistics and Computer Science was obtained, Grace has also contributed to the tech community through internship roles at Microsoft and teaching positions at Harvard. Innovative leadership has been demonstrated in various initiatives, such as advocating for increased opportunities for women in computing.
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