Olanrewaju Akande
Research Scientist, Central Applied Science at Meta
Wake Forest, North Carolina, United States
Summary
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Senior🎓
Top SchoolOlanrewaju Akande is a research scientist at Meta with a decade of experience developing statistical methods to handle missing and faulty data, specializing in Bayesian modeling, multiple imputation, causal inference, and edit-imputation for measurement error. He blends academic rigor—earned through a Ph.D. and MS in Statistical Science from Duke and a history as an Assistant Professor of the Practice—with applied impact in product-scale statistics and privacy work at Meta. His research spans mixture and hierarchical models and practical survey-weighted imputation, reflecting deep expertise in both theory and real-world data challenges. Notably, he has translated population-level auxiliary data into improved imputation frameworks and built edit-imputation models for household data with structural zeros, demonstrating a knack for solving messy, high-stakes data problems. Based in Wake Forest, NC, he pairs teaching and mentoring experience with industry research to make complex statistical tools usable in production settings.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics and Statistics, Bachelor of Science (B.Sc.), Mathematics and Statistics at University of LagosDoctor of Philosophy (Ph.D.), Statistical Science, Doctor of Philosophy (Ph.D.), Statistical Science at Duke University
English, Yoruba
Github Skills (5)
imputation8
react2
solaris2
css2
javascript1
Programming languages (4)
Github contributions (5)
akandelanre/akandelanre.github.io
Jun 2019 - Jan 2022
Personal Webpage
Contributions:171 commits, 1 PR, 166 pushes in 2 years 7 months
personal-webpagewebpage
akandelanre/Multiple-Imputation-for-Nested-Data
Dec 2016 - Oct 2019
Multiple imputation for nested data using the NDPMPM model
Contributions:17 commits, 2 PRs, 54 pushes in 2 years 10 months
imputation
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