Osonde Osoba

Information Scientist (Full) at the RAND Corporation; Professor at Pardee RAND Graduate School


Researcher & data scientist with expertise in machine learning and statistical signal-processing methods. Also addressing public policy issues related to machine learning, artificial intelligence, big data (e.g. privacy, algorithm transparency and accountability). Specific analytic expertise in expectation-maximization algorithms, neural networks, Bayesian inference. Analytic work in: R, Python, Matlab, Mathematica, C/C++.