
Leonardo Lavagna
I'm a mathematician specialized in Data Science currently pursuing a PhD in Quantum Computing
- Sapienza University
- ResearchGate
- Github
- HackerRank
- K Kaggle
- Google Scholar
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Attending the 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing
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I’m happy to announce that we will share two contributions at the conference ICASSP 2026. The first contribution is a natural extension and enhancement of the Hybrid quantum-classical approach for anomaly detection in one-dimensional time series discussed here. The second contribution, instead, is focused on the QAOA and proposes a new variant of this quantum optimization algorithm where the standard QAOA ansatz is enhanced via a blockwise optimization strategy of its parameters and with the addition of a multi-parameterized layer before the measurements. Further details about this second contribution will be given in a subsequent announcement (I still have to update the blog!). If you are in Barcelona in the period 4-8 may we have our presentations already scheduled (see here and here), feel free to say hi! Read more
Papers related to the International Joint Conference on Neural Networks 2025
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With a little bit of delay, I wanted to announce that our contributions to the IJCNN 2025 discussed here and here have been published. Both contributions are available in the conference proceedings, in particular here and here. Read more
New Dataset available on Zenodo!
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We have just published on Zenodo the curated dataset associated to tha paper Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications The first version of the dataset is available here. Read more
Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications
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Published:
@NESYA, in collaboration with the Department of Chemistry and Technologies of Drugs and with BSP Pharmaceuticals, we have published an article about the simulation capabilities of a machine learning mixture of experts model in the production of liposomes. Code available here, with a user-friendly application here. Read more