Michael Woldegebriel’s research focuses on data analysis in analytical chemistry. He studies innovative methods that can be used in screening aimed at identifying known or unknown compounds in biological or non-biological samples. He makes use of Bayesian statistics and machine learning.
M.T. Woldegebriel: Innovative Methods for Data Analysis in Analytical Chemistry Using Bayesian Statistics and Machine Learning.
Prof. P.J. Schoenmakers
Dr G.I. Vivo Truyols
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