| Oct 15, 2026 |
Very happy to share that I will be joining École Polytechnique as a tenure-track Assistant Professor in Applied Mathematics in February 2027!
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| Oct 7, 2026 |
New preprint on continual graph multi-agent reinforcement learning is out!
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| Oct 1, 2026 |
I moved to Mila and McGill University to spend the final months of my SNSF project working with Prof. Reihaneh Rabbany.
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| Sep 24, 2026 |
Why do time series models need long context windows? Our paper has been accepted at NeurIPS 2026!
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| Sep 23, 2026 |
I’ll be giving lectures on graph neural networks to the doctoral candidates of the ASSESS MSCA doctoral network at their training event at TU Dresden.
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| Apr 30, 2026 |
Our position paper on benchmarking in deep learning for time series forecasting will appear at ICML 2026.
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| Mar 1, 2026 |
I moved to EPFL to work on the second part of my SNSF project with Prof. Olga Fink.
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| Feb 18, 2026 |
Heading back to Tromsø to give a tutorial on graph deep learning for time series forecasting at the LoG Norway meetup!
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| Jan 25, 2026 |
ResCP, our method for training-free conformal prediction in time series forecasting based on reservoir computing, has been accepted at ICLR 2026!
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| Nov 1, 2025 |
I’m now a member of the ELLIS Society!
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| Oct 27, 2025 |
I received the Informatics Europe Best Dissertation Award 2025 for my PhD thesis! See the announcement here.
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| Aug 5, 2025 |
I’ll be co-organizing the first Inductive Biases in Reinforcement Learning workshop at RLC 2025 in Edmonton.
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| Aug 4, 2025 |
I’m co-organizing the Temporal Graph Learning Workshop at KDD 2025 in Toronto!
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| May 15, 2025 |
Our tutorial paper on graph deep learning for time series forecasting has been accepted for publication in ACM Computing Surveys!
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| May 1, 2025 |
Our paper on relational conformal prediction has been accepted at ICML 2025!
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| Mar 1, 2025 |
Giving a guest lecture on graph deep learning for time series processing in Prof. Reihaneh Rabbany’s Network Science course at McGill University.
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| Feb 13, 2025 |
New preprint with Imperial College London on learning to reconstruct global atrial fibrillation dynamics from sparse measurements!
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| Feb 1, 2025 |
I will be working on my SNSF project at the University of Oxford with Prof. Michael Bronstein.
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| Dec 4, 2024 |
I will be giving a tutorial on graph deep learning for time series processing at the LoG Italy meetup in Siena.
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| Nov 27, 2024 |
Had an amazing time presenting our tutorial at LoG 2024!
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| Aug 1, 2024 |
Exciting news! The Swiss National Science Foundation has awarded funding for my project!
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| Jul 17, 2024 |
I have successfully defended my PhD thesis!
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| May 3, 2024 |
Our method for hierarchical graph-based forecasting has been accepted at ICML 2024.
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| Apr 18, 2024 |
I delivered a talk on graph deep learning for time series to the Oxford Networks and Society Group.
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| Jan 16, 2024 |
Our paper on multivariate virtual sensing has been accepted at ICLR 2024.
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| Oct 10, 2023 |
New paper putting together what we’ve learned on graph deep learning for time series forecasting!
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| Sep 24, 2023 |
New paper accepted at NeurIPS 2023, see you back in NOLA!
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| Aug 3, 2023 |
Our paper on graph learning has been accepted for publication in JMLR!
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| Jun 7, 2023 |
I will be giving a tutorial on graph-based time series processing at ECML PKDD 2023, see you in Turin!
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| Mar 9, 2023 |
I will be spending 6 months in Prof. Danilo Mandic’s lab at Imperial College London!
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| Dec 3, 2022 |
Our paper on scalable STGNNs won the best paper award at the TGL workshop at NeurIPS!
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| Nov 18, 2022 |
Our paper has been accepted at AAAI23!
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| Sep 30, 2022 |
Our new paper has been accepted at NeurIPS 2022, see you in New Orleans!
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| Jan 20, 2022 |
Our paper got accepted at ICLR 2022!
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| Oct 11, 2021 |
One paper accepted for publication in JMLR!
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