I am an associate professor at TU/e. My research interests span from studying how Machine Learning approaches can benefit natural sciences to application in high-tech industry settings. I was recently lucky enough to be part of exciting collaborations that focused on detection of miRNA in bioinformatics [1], quantification of turbulence intenisty [2] and detection of state of plasma confinement in fusion in applied physics [3]. I also work on improving how we use expert knowlege to build ML models [4][5]. For a list of selected publications click here

Personal page @TU/e

Data mining page @TU/e

List of open MSc project (Updated! Nov/2020)

Projects and collaborations

• Alessandro Corbetta, Roberto Benzi, Federico Toschi
  • Deep learning velocity signals allows to quantify turbulence intensity
• Luis Perez Rey, Jim Portegis
  • Diffusion Variational Autoencoders
• Francisco Matos, Federico Felici, Alessandro Pau
  • Classification of tokamak plasma confinement states with convolutional recurrent neural networks
• Jorge Cordero, Jens Allmer
  • Detection of pre-microRNA with Convolutional Neural Networks

PhD Students

• Tita Ni’Mah
• Marijn Knippenberg
• Simon Koop
• Mahefa Ravelonanosy
• Yoeri Poels
• Koen Minartz
• Fleur Hendriks
• Marko Petković
• Tianjin Huang (graduated) thesis
• Lu Yin (graduated) thesis
• Loek Tonnaer (graduated) thesis
• Stefan Thaler (graduated) thesis