Edward Challis is a researcher, educator and consultant of machine learning methods in both academia and industry. Edward is passionate about developing and improving data-centric technologies that will improve the way we live. Edward graduated with a BSc in Mathematics and an MSc in Artificial Intelligence. Having spent two years working for a large European hedge fund, he returned to academia to gain a PhD in Machine Learning at UCL. His research has focused on scaling probabilistic and Bayesian Machine Learning techniques to solve large automated and sequential decision making problems. Edward was on secondment through the BITE Industry Exchange Award Scheme at Skimlinks, a web start-up delivering affiliate marketing technology services. Upon completion of his secondment, Edward continued his relationship with Skimlinks working with them on a part-time basis as a Data Scientist.
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