Published in (Submission, waiting for review) Bioinformatics Journal, 2025
Developed a pipeline to extract Compound-Protein Interaction (CPI) data from multiple sources and integrate them, to create augmented dataset to improve the performance of machine learning models.
Recommended citation: https://www.biorxiv.org/content/10.1101/2024.07.03.601957v1.
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Published in Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Introduced RelFCI, an algorithm extending FCI to relational data with latent confounders and non-i.i.d. assumptions.
Recommended citation: Negro, Matteo, Andrea Piras et al. "Relational Causal Discovery with Latent Confounders." The 41st Conference on Uncertainty in Artificial Intelligence.
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A software package to collect and harmonize small molecule and protein interactions
University Course, University of Illinois Chicago, Department of Computer Science, 2025
Teaching Assistant for Graduate Course CS418 - Introduction to Data Science.