Rachel Hodos-Nkhereanye, PhD, currently serves as the Director of Data Quality at BenevolentAI, where responsibilities include leading a team to enhance data quality through innovative methods. Previously, Rachel held various roles at BenevolentAI, including Tech Lead and Product Manager for Data Quality, and Lead AI Scientist for Target Identification, contributing significantly to the development of technology platforms aimed at identifying novel drug targets. Prior experiences include serving as a Research Mentor at NYU Center for Data Science, a Research Assistant at the Institute for Next Generation Healthcare, and engaging in roles at the University of Iowa and IBM T.J. Watson Research Center. Rachel's academic background includes a PhD in Computational Biology from New York University, gained between 2011 and 2018.
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