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.

CV  /  LinkedIn  /  Google Scholar  /  Twitter

Page Last Updated: February 18, 2022

profile photo


  • September 2021: Started first semester of PhD @ Cal!!!
  • August 2021: Successfully completed Summer 2021 Internship @ IBM Research.
  • May 2021: Graduated from Duke Univeristy with Masters in Statistics.
  • August 2020: AI4D-IndabaX grant for our work on COVID-19 & Misinformation in Nigeria and AI for Poultry Disease Diagnostics.

Topic Modeling Approaches for Understanding COVID-19 Misinformation Spread in Sub-Saharan Africa
Ezinne Nwankwo, Chinasa Okolo, Cynthia Habonimana
Proc. AI Social Good Workshop, 2020
Africa's Social Contract with AI
Ezinne Nwankwo, Belona Sonna
XRDS: Crossroads, The ACM Magazine for Students, 2019
Interpreting AI and It's Place in Our Worlds
Cristine T. Wolf, Ezinne Nwankwo
XRDS: Crossroads, The ACM Magazine for Students, 2019
Teaching Experience

  • Introduction to Data Science I and II @ Duke, Summer 2020, Fall 2020, Spring 2021.
  • Advanced Analytics with R and Python @ Duke, Fall 2019, Spring 2020.
  • Introduction to Functions and Calculus I and II @ Harvard, Fall 2015, Fall 2016, Spring 2016, Spring 2017.

Saturdja Dai Hall 7th floor
2594 Hearst Ave
Berkeley, CA 94720

All proceeds go to Daniel and Jon for the creation of this website.