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.
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).
PhD students
Soumya Sharma, PhD student co-advised with Prof. Golnoosh Farnadi, McGill University, 2025-present.
Aarash Feizi, PhD student co-advised with Prof. Reihaneh Rabbany, McGill University, 2020-present.
Former PhD students
Sumana Basu, PhD co-advised with Prof. Doina Precup, McGill University, 2018-2025.
Edward Smith, PhD co-advised with Prof. David Meger, McGill University, 2018-2024. [last known: Research Scientist Manager, Borealis AI]
Arantxa Casanova Pagà, PhD co-advised with Prof. Chris Pal, Polytechnique Montréal, 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: AI research engineer at Stylitics]
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.
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]
Postdocs
Felix Friedrich, co-advised with Dr. Michal Drozdzal, 2025-present.
Reyhane Askari-Hemmat, co-advised with Dr. Michal Drozdzal, 2023-2025. [last known: research scientist at FAIR, Meta]
Pietro Astolfi, co-advised with Dr. Michal Drozdzal, 2023-2025. [last known: research scientist at Cohere]
PhD students
Olga Luo, co-mentored with Dr. Michal Drozdzal, 2025-present.
Xiaofeng Zhang, co-mentored with Dr. Michal Drozdzal, 2024-present
Rim Assouel, co-mentored with Dr. Michal Drozdzal, 2024-2026. [last known: PhD candidate at Mila]
Oscar Mañas, co-mentored with Dr. Michal Drozdzal, 2024-2025. [last known: research scientist at Meta]
Mattie Tesfaldet, co-mentored with Dr. Michal Drozdzal, 2023-2024. [last known: PhD candidate at Mila]
Reyhane Askari-Hemmat, co-mentored with Dr. Michal Drozdzal, 2022-2023. [last known: research scientist at FAIR, Meta]
Arantxa Casanova, co-mentored with Dr. Michal Drozdzal, 2019-2022. [last known: research scientist at Meta]
Edward J. Smith, co-mentored with Dr. Michal Drozdzal, 2019-2022. [last known Machine Learning research manager at RBC Borealis]
Sumana Basu, co-mentored with Dr. Michal Drozdzal, 2019. [last known: PhD candidate at Mila]
Interns
Nicolas Beltran Velez (Columbia University), co-mentored with Dr. Michal Drozdzal, fall 2025.
Jianhao Zhang (Oxford University), co-mentored with Dr. Michal Drozdzal, summer 2025.
Nicola Dall'Asen (University of Trento), co-mentored with Dr. Michal Drozdzal, fall 2024.
Karen Chen (UT Austin), co-mentored with Dr. Michal Drozdzal, summer 2024.
Oscar Mañas (Université de Montréal, Mila), co-mentored with Dr. Michal Drozdzal, summer 2023. [last known: research scientist at Meta]
Enrico Fini (University of Trento), co-mentored with Dr. Michal Drozdzal and Dr. Jakob Verbeek, summer 2022. [last known: member of technical staff at Microsoft AI]
Stanislav Frolov (RPTU Kaiserslautern), co-mentored with Dr. Michal Drozdzal and Dr. Jakob Verbeek, summer 2022. [last known: researcher at German Research Center for Artificial Intelligence]
Pietro Astolfi (University of Trento), co-mentored with Dr. Michal Drozdzal, summer 2021. [last known: research scientist at Cohere]
Bahare Fatemi (University of British Columbia), co-mentored with Dr. Michal Drozdzal, summer 2021. [last known: research scientist at Google]
Tim Bakker (University of Amsterdam), co-mentored with Dr. Michal Drozdzal and Dr. Luis Pineda, summer 2021. [last known: research scientist at QualcomAI]
Boris Knyazev (University of Guelph), co-mentored with Dr. Michal Drozdzal, summer 2020. [last known: research scientist at Samsung AI lab]
Akash Abdu Jyothi (Simon Fraser University), co-mentored with Dr. Michal Drozdzal, 2020.
Terrance Devries (University of Guelph), co-mentored with Dr. Michal Drozdzal, winter 2019. [last known: research scientist at Luma AI]
Paul F. Jaeger (DKFZ), co-mentored with Dr. Michal Drozdzal, summer 2019. [last known: research scientist at Google DeepMind]
Zizhao Zhang (University of Florida), co-mentored with Dr. Michal Drozdzal, summer 2018. [last known: research scientist at Google DeepMind]
Amaia Salvador (Polytechnic University of Catalonia), co-mentored with Dr. Michal Drozdzal, summer 2018 [last known: senior data & applied scientist at Microsoft]