Junier Oliva
Associate Professor
Raleigh-Durham-Chapel Hill Area United States
Summary
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Senior🎓
Top SchoolJunier Oliva is an associate professor of computer science at UNC Chapel Hill and head of the LUPA Lab, where he researches machine learning methods that reason over collections—distributions, sets, sequences, and graphs—rather than single-point estimates. Trained at Carnegie Mellon (PhD), he blends frequentist nonparametric principles with modern deep learning to build simple, scalable estimators for high-dimensional, large-scale problems. His work targets real-world challenges from forecasting social media virality to predicting disease risk from functional brain data and modeling dark matter distributions. A former Yahoo! backend engineer, he brings production-minded software experience to academic research and a focus on scaling classical methods to modern datasets.
12 years of coding experience
8 years of employment as a software developer
High School, High School at Miami Lakes Educational CenterDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Carnegie Mellon University
SpanishProgramming languages (1)
Github contributions (5)
junieroliva/funcLearn
Aug 2014 - Feb 2018
Contributions:49 commits, 34 pushes in 3 years 7 months
lupalab/tan
Jul 2018 - May 2019
Contributions:15 commits, 11 pushes, 1 branch in 10 months
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