Anthony Sergio Chapman

Background

About Anthony Sergio Chapman

I have several years experience developing novel data analytical methods, this includes creating and implementing frameworks to solve problems in finance, epidemiology, computer vision and O&G sectors. My main focus has been to create systems which use machine learning techniques to automate and optimise analysis of data. Most recently, he has developed an analysis framework for the Q-DOS platform in his role as data scientist for the HyperDAP team. Anthony is currently in the final stages of his PhD thesis on novels methods to evaluate data imputation and non-numerical data dissimilarity metrics. I am interested in automated trading using ML methods and quite like being able to make software which takes complex decisions using complex data which might baffles us if we tried to analyse it. I am a big fan or functional programming languages, especially Haskell. Have been creating R statistical analysis libraries for a while now, which my PhD is based on.