Winners of a Sapienza Research Call 2024-2025
Published:
@NESYA Andrea Ceschini and I have won a ~5k€ Sapienza Research Call “AQUA-QLEAR: Achieving Quantum Utility and Advantage through Quantum Learning for Enhanced and Accelerated Results”.
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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Papers related to the International Joint Conference on Neural Networks 2025
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Published:
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
Simplified Zenodo Dataset on Kaggle!
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Published:
I have just published a simplified version of the dataset we recently published on Zenodo (see here), also on Kaggle. The simplified version is available 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