Damian Ziubroniewicz

Fair Machine Learning

Project Summary

The project focuses on the development of fairness adjusted machine learning algorithms. The aim is to create models which reduce the presence and impact of bias and unfairness, such as discrimination, in machine learning outputs while preserving optimal predictive capacities.

 

Research Interests

Machine Learning, data science, algorithmic bias, fairness.

My main research interest involves developing new techniques in the computational sciences to answer questions and problems in the social sciences.

Background

MSc Data Science, University of Liverpool. My research project focused on the development of an algorithm with the ability to measure and quantify social value in the digital city context. I also have 1 year of professional experience as a data scientist.

Supervisors

Dr Özgür Şimşek

Dr Iulia Cioroianu

Prof Nick Pearce