Group Member

  • Fabricio Arend Torres

    PhD Candidate

    About me

    I'm currently a PhD Student in Computer Science with a focus in Machine Learning. I received my bachelor’s and master’s degree in Computer Science both at the University of Basel in 2016 and 2018 respectively, with my MSc being focused on Machine Intelligence. As a student assistant and during my master thesis I worked with data from heavily pretreated HIV-1 patients, focusing on finding treatment-relevant dependency networks between genomic mutations and the respective treatments.

    In 2019 I started my PhD, where I'm now part of the WeObserve project, which is funded by the Big Data National Research Programme. The work in the project focuses on modeling the movement of migratory birds using heterogeneous data from weather radar measurements and Citizen Science observations.

    In terms of research, I'm currently interested in Deep Latent Variable Models and variational approximations to Gaussian Processes, but also have a broad interest in general Machine Learning and Deep Learning.

    In my free time I enjoy playing guitar and going bouldering/climbing.

    My projects

    weObserve: Integrating Citizen Observers and High Throughput Sensing Devices for Big Data Collection, Integration, and Analysis

    Contact Information

    University of Basel
    Fabricio Arend Torres
    Department of Mathematics and Computer Science
    Room 01.001
    Spiegelgasse 1
    CH - 4051 Basel, Switzerland

    Phone: +41 61 207 2683

    You can also find me on LinkedIn and GitHub.

    list of Publications


  • Sebastian Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth: Learning Extremal Representations with Deep Archetypal Analysis, (Under review), 2020.
  • Sonali Parbhoo, Jasmina Bogojeska, Mario Wieser, Fabricio Arend Torres, Maurizio Zazzi, Susana Posada Cespedes, Niko Beerenwinkel, Enos Bernasconi, Manuel Battegay, Alexander Calmy, Matthias Cavassini, Pietro Vernazza, Andri Rauch, Karin J. Metzner, Roger Kouyos, Huldrych Günthard, Finale Doshi-Velez, Volker Roth: Intelligent Policy Mixing for Improved HIV-1 Therapy Selection (Under review), 2019.
  • Workshops

  • Sebastian M. Keller*, Fabricio Arend Torres*, Maxim Samarin, Mario Wieser and Volker Roth: Exploring Data Through Archetypal Representatives, NeurIPS Learning Meaningful Representations of Life Workshop 2019, Canada. (*equal contribution)