Sonia-Florina Horchidan

Sonia-Florina Horchidan is a doctoral researcher at the KTH Royal Institute of Technology in Stockholm, Sweden. She is affiliated with the Division of Software and Computer Systems within the School of Electrical Engineering and Computer Science (EECS), working under the supervision of Associate Professor Paris Carbone in the Data Systems Lab. Her academic activities include teaching assistant roles for courses in distributed systems and data storage paradigms.

Research Focus:

• Graph Databases
• Machine Learning on Graphs
• Stream Processing
• Federated Learning with Privacy Guarantees
• Approximate Query Processing via ML
• Serverless Streaming Graph Analytics

Scientific Contributions: Her recent publications at venues like EDBT, VLDB, and AI4DB explore intersections between graph data management and machine learning. Key themes include ML inference optimization in streaming systems, privacy-preserving health data forecasting, and innovative graph query execution models.

Honors & Service:

• Co-authored Best Paper at DEEM 2022
• Best Paper Award at VLDB 2023 PhD Workshop
• Program Committee Member, aiDM 2024
• Reproducibility Committee Member, ACM SIGMOD/PODS