Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Personal Trivia
A few fun facts about me
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
experience
Research Intern
Causal Inference Research Intern, Signal Labs, June – August 2026 · Chicago, IL
Causal discovery on real-world observational data, and the use of LLM-elicited background knowledge as priors for structure learning.
publications
CPIExtract: A software package to collect and harmonize small molecule and protein interactions
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: Piras, Andrea, et al. "CPIExtract: A software package to collect and harmonize small molecule and protein interactions." bioRxiv (2024).
Paper Page | Download Paper
Relational Causal Discovery with Latent Confounders
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.
Paper Page | Download Paper | Download Bibtex
Narratives in the 2024 Moldovan Presidential Election: Stance, Coordination, and Influence
Published in IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2026
Quantifies coordinated amplification and heterogeneous peer influence in multi-platform election discourse under latent homophily, combining causal proxy modeling with network exposure embeddings.
software
CPIExtract
A software package to collect and harmonize small molecule and protein interactions
teaching
Teaching Assistant
University Course, University of Illinois Chicago, Department of Computer Science, 2025
Teaching Assistant for Graduate Course CS418 - Introduction to Data Science.