Mahshid Helali Moghadam is a senior data scientist and research project lead at Scania R&D, Sweden. She previously served as a researcher and project lead at RISE Research Institutes of Sweden. She holds a PhD in Computer Science from Mälardalen University, Sweden, where her PhD research focused on Intelligence-Driven Software Performance Assurance. Her research interests lie in Machine learning testing, ML-driven software testing, (automotive) cybersecurity, and performance anomaly detection. She has actively contributed to major European and national research projects, including projects like TESTOMAT (Test Automation), IVVES (Verification of Evolving Systems), AIDoRt (AI in Continuous Development), InSecTT (Secure Trustable Things), and FAMOUS (Federated Anomaly Modelling). She currently leads research projects (INTERSTICE) focusing on intelligent security solutions for connected vehicles.