Amedeo
Pachera.
PhD Candidate in Computer Science working at the intersection of Graph Machine Learning, Human–AI collaboration, and data management.
About
I’m a Ph.D. candidate at Université Claude Bernard Lyon 1, affiliated with the LIRIS research lab, where I work with Prof. Angela Bonifati and Dr. Andrea Mauri. I’m currently a visiting researcher at the University of British Columbia in Vancouver, hosted by Prof. Laks V. S. Lakshmanan.
My research lives at the integration of artificial and human intelligence for data-intensive applications — designing systems that are efficient, effective, and aware of people’s needs and values. Concretely, I build human-in-the-loop methods and graph neural networks that improve data quality, causal analysis, and interactive data management over property graphs, with publications at SIGMOD, VLDB, and ICDE.
Before the Ph.D. I was CTO of an Italian startup and a research fellow at Politecnico di Milano on the EU Horizon 2020 PERISCOPE project. Outside research you’ll usually find me somewhere between Lyon and Vancouver — feel free to reach out.
Research
Graph Neural Networks
Representation learning over property graphs — from estimating repair difficulty to budget-aware models that decide when to ask a human.
Human–AI Collaboration
Interactive, human-in-the-loop systems that blend automatic inference with user expertise under real-world budgets.
Graph Data Quality
Detecting and repairing inconsistencies in property graphs under denial constraints, with the people who know the data.
Causal Analysis
Efficient causal exploration and what-if reasoning directly over graph databases.