Iead Rezek

Iead Rezek is an expert in statistical data analysis methods, specializing in data mining, machine learning, and pattern recognition in both scientific and industrial contexts. With a strong academic background and a history of successful collaboration in industry, Iead's focus lies in computational statistics for data analysis, modeling, and processing. Holding a PhD in Machine Learning and Computational Statistics, an MSc in Biomedical Engineering, and a BEng (Hons) in Electrical and Electronic Engineering, Iead has a diverse educational foundation from prestigious institutions like Imperial College London and University of Plymouth.

Throughout his career, Iead has held various significant positions including Senior Research Scientist at Schlumberger Gould Research Ltd, Senior Research Officer at University of Oxford, and Lecturer in Statistical Imaging Methodology at Imperial College London. Moreover, he has had roles as a Lecturer in Complex Systems at Aston University and as a Postdoctoral Researcher at Imperial College London. His rich experience in academia and industry has equipped him with invaluable insights into the realm of computational statistics.