Andreas Neofytou

Andreas Neofytou


Personal profile

Personal Statement

Andreas is a PhD student in the Department of Management Science at Strathclyde Business School. He is a researcher in the intersection of machine learning and optimization. He is specializing in decision-making under uncertainty and optimization problems utlizing machine learning algorithms.

Research Interests

My broad research area encompasses machine learning and optimization, with a particular focus on decision-making under uncertainty. I attempt to merge machine learning and optimization, by bridging the gap of good prediction to a good decision. My research interest is to improve the decision-making process under uncertainty with machine learning. Particularly by proposing variants and extensions of robust ML algorithms, starting from data leading to high quality (robust) decisions and predictions. From predictive to prescriptive solutions and approaches, leading to stronger prescriptive performance with advanced machine learning algorithms.

Teaching Interests

I have been extensively involved with teaching activities in various levels from undergraduate to postgraduate in the department of Management of Science in Optimization classes and in the department of Computer and Information Science in several Data Analytics, Machine Learning and Deep Learning classes.

Expertise & Capabilities

  • Machine Learning
  • Deep Learning
  • Decision-Making under Uncertainty
  • Robust Optimization
  • Nonparametric Bayesian Models
  • Reinforcement Learning

Education/Academic qualification

Master of Science, Advanced Computer Science with Big Data, University Of Strathclyde


Bachelor of Mathematics and Statistics, Mathematics & Statistics, University of Cyprus


Doctor of Philosophy, Data Science, University Of Strathclyde

2021 → …


  • Machine Learning
  • Data Science
  • Optimization
  • Decision-making under Uncertainty
  • Data Analytics


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