Amina Mollaysa


University of Zurich

I did mathematics and applied mathematics for my bachelor and master, then I did my PhD in fundamental machine learning research at the University of Geneva. My main focus of research was incorporating domain knowledge into deep learning models in the form of regularizer to improve predictive model generalization performance and developing generative models to enable conditional generation of discrete structured data such as molecules. Currently I am interested in applying machine learning models in healthcare domain such as genetic engineering and drug design.


  • Machine Learning


  • PhD in Machine learning, 2021

    University of Geneva

  • MSc in applied mathematics (Mathmods), 2014

    University of L'Aqquila, University of Hamburg, University of Nice Sophia Antipolis