Ezinne Nwankwo
enwankadasflkjhwo17 [at] gmaildfhsdjaf [dot] 1432@#$2 com

Hi! I am a first year PhD student in Computer Science at UC Berkeley.

My research focuses on using statistics and machine learning (ML) as a way of understanding social issues and improving equity and access for underserved communities. I’m interested in thinking about the intersection and limitations of causal inference, prediction, and mechanism design. I work on applications of ML that attempt to redistribute power and lead to distributive justice for communities, such as with resource allocation in government assistance programs and nonprofit organizations. Previously, I have worked on using AI applications for agriculture and with Covid-19 online misinformation spread.

Prior to beginning my PhD at UC Berkeley in 2021, I received an M.S. in Statistics from Duke University, where I was advised by Jerry Reiter and Sayan Mukherjee, and a B.A. in Applied Math from Harvard University.

Since May 2020, I have had the pleasure of serving as a general board member of Black in AI, where I support the Black in AI Academic Program, started by Rediet Abebe, Moses Namara, and Daniel Nkemelu.

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Page Last Updated: February 18, 2022