Yulia P.

Yulia P. is an accomplished AI and machine learning expert with extensive experience in leading technology innovation and applied AI initiatives across various reputable organizations. Currently serving as AVP and Lead AI Engineer at Chubb since September 2025, Yulia previously excelled as the Machine Learning Innovation Lead at RBC Borealis, where efforts focused on enhancing mortgage client retention through experimentation frameworks. Yulia's tenure at Thomson Reuters spanned several roles, culminating as Director of Technology Innovation, managing a team to implement AI/ML roadmaps and improve workflows. Significant contributions also include senior data scientist roles at Stora Enso and Thomson Reuters, where Yulia led efforts in ML automation, process automation, and data visualization. Yulia's academic credentials include a PhD in Scientific Computing from the University of Jyväskylä and a PhD in Discrete Mathematics and Cybernetics from Saint Petersburg State University, complemented by an Adjunct Professorship in Environmental Economics from the University of Helsinki.