Ezinne Nwankwo
Science For Social Good Research Intern at IBM
Emeryville, California, United States
Summary
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Senior🎓
Top SchoolEzinne Nwankwo is a Ph.D. student in Computer Science at UC Berkeley who applies statistical and machine learning methods to social-good problems, with a focus on integrating expert and community preferences into models for low- and middle-income settings. With roughly a decade of experience spanning research internships and applied roles at IBM, Duke, and policy labs, she has tackled domains from agricultural AI to COVID-19 misinformation and human perceptions of AI. She combines rigorous Bayesian and hypothesis-testing approaches with practical decision-making applications, such as resource allocation and government policy analysis. An experienced instructor and evaluator, she has led assessments and taught statistics labs, and she advocates for underrepresented students as a Black in AI organizer and board member.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Duke UniversityBachelor's degree, Applied Mathematics and Statistics, Bachelor's degree, Applied Mathematics and Statistics at Harvard University
English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (1)
Github contributions (5)
Gankara/CovidMisinfoInNigeria
Oct 2020 - Apr 2021
Contributions:13 pushes, 1 branch in 5 months
ezinne359/crossed_nested_blogpost
Nov 2019 - Nov 2019
STA 610: Hierarchical Models Homework 4
Contributions:2 PRs, 13 pushes, 3 branches in 1 day
stahierarchicalhierarchical-models
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