About me :

Update 03/10/2020: I have submitted my thesis and have joined Oracle Labs.
I am currently a PhD student and a member of the Essence group and of the IDA section within the School of Computer Science at the University of Glasgow. I obtained my BSc (Hons) in 2016 from the School Of Computing Science at the University of Glasgow.

Research Interests :

My work is focused on applying Machine Learning models to assist in data exploration and in Approximate Query Processing. The main theme revolves around Query-Driven learning, which outlines the methodology of exploiting past queries to learn how aggregate statistics change. Throughout my PhD I have investigated and published work into :

  • How Machine Learning models can explain data subspaces to guide exploratory analysis
  • How Query-Driven learning can be applied for Approximate Query Processing with error guarantees
  • How can the process of identifying interesting subspaces can be expedited by the use of machine learning models that serve as surrogate analytic functions
  • How trained Machine Learning models can be adapted when faced with non-stationary distributions using approximate detection mechanisms.