Invited Lecturer

• Applied Machine Learning Course, Computer Science, McGill University, April 2023.

  • Generative models: an introduction and recent research

• Saturdays AI La Paz

  • Advanced topics in deep learning. Summer 2021, Fall 2021.

• Master in Computer Vision Barcelona, Inter-university Master UAB-UOC-UPC-UPF

  • Neural networks for graph-structured data, 2020-2023.

  • Intro to deep reinforcement learning, 2019-2023.

  • Recurrent Neural Networks, 2017-2019.

  • Deep learning architectures for image classification, 2017-2018.

• Postgraduate course in Artificial Intelligence with Deep Learning, UPC school.

  • Deep learning for graphs and sets. Open lecture, 2019.

Teaching Assistant

• Department of Applied Mathematics and Analysis, University of Barcelona

  • Distributed Software (lab sessions), 2014-2015.

    • Client/Server: sockets, protocols, web applications.

    • P2P.

    • Service Oriented Architecture (SOAP, REST).

Students

• PhD students

  • Sumana Basu (McGill University), PhD student co-advised with Prof. Doina Precup, 2018-present.

  • Aarash Feizi (McGill University), PhD student co-advised with Prof. Reihaneh Rabbany, 2020-present.

• Former PhD students

  • Edward Smith (McGill University), PhD co-advised with Prof. David Meger, 2018-2024 (last known: Research Scientist, Borealis AI).

  • Arantxa Casanova Pagà (Polytechnique Montréal), PhD co-advised with Prof. Chris Pal, 2018-2023 (last known: Research Scientist, Meta AI).

• Former Master students

  • Liheng Ma, Graph Attention Networks with Auxiliary Positional Embedding Models, Master in Computer Science, McGill University, 2020, co-advised with Prof. Reihaneh Rabbany. CAIAC's 2021 Best Master's Thesis Award. (last known: PhD Student at McGill University)

  • Mikel Menta, Learning to adapt class-specific features across domains for semantic segmentation, Master in Computer Vision Barcelona 2018, co-advised with Dr. Joost van de Weijer, Best Master Thesis Award. (last known: Applied Research Scientist at Wide Eyes Technologies)

  • Sumana Basu, Analyzing Alzheimer's Disease Progression from Sequential Magnetic Resonance Imaging Scans Using Deep 3D Convolutional Neural Networks, Master in Computer Science, McGill University, 2018, co-advised with Prof. Doina Precup. (last known: PhD Student at McGill University)

  • Arantxa Casanova Pagà, Densely Connected Residual Networks for Semantic Segmentation, Master in Computer Vision Barcelona 2017, co-advised with Prof. Antonio López, Best Master Thesis Award.

  • Guillem Cucurull Preixens, Graph Convolutional Networks for Cortical Mesh Segmentation, Master in Computer Vision Barcelona 2017, co-advised with Prof. Jordi Gonzàlez. (last known: Research Engineer, Meta AI)