Areas of expertise
- Applied Computational Intelligence
- Statistical Data Analysis
- Applied Statistical Learning & Cybernetics
Yuri Campbell started working at Fraunhofer IMW in February 2018. Previously, he was a postdoctoral researcher at the Max Planck Institute for Mathematics in the Sciences (MPI MIS) in Leipzig where he had completed his Ph.D. in Mathematics with a specialization on Probability & Statistics, magna cum laude, in March 2017. In his doctoral thesis »Large Deviations of Log-Likelihood Ratios and Asymptotic Hypothesis Testing«, he investigated and proved definitive bounds on the efficiency of statistical inference in the context of large data sets. In 2011, he received his Master of Science degree in Electrical Engineering from the University of Sao Paolo with highest honors, while working on algorithmic definitions of statistically optimal predictors of symbolic chaotic time series. He also developed computational intelligence algorithms for a research consortium in Sao Paolo.