I'm not your typical computer scientist. I loved math and dance as a kid. But I majored in computer science because I found it to be math with a creative twist. I bring my creativity and passion for data to every project.  

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Formerly a college professor, I speak, write and consult on moving slower and building better people-first solutions. All digital things have its roots in data. I engage with cross-functional teams to enhance the human skills behind responsible AI and ethical data practices. 

 

In 2020, I founded Black Women in Data (BWD) to help elevate senior-level Black women who work at the cross-section of the data industry. BWD offers unique leadership support, personal growth activities and annual gathering that anchors both their professional and personal lives. Black women make up less than 1% of the data industry. By 2040, we envision Black women thriving in 13% of data roles — leading, innovating and making sure our voices are heard in every room where data decisions are made.  

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I'm the author of Data Conscience: Algorithmic Siege on our Humanity (Wiley, 2022), co-editor of Mitigating Bias in Machine Learning (McGraw-Hill, 2024) and contributing author in The Black Agenda (Macmillan, 2022). I hold a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester. Recently,  I obtained her EMBA from Quantic School of Business and Technology.