Iryna Yevdokymova

Iryna Yevdokymova is a full-time PhD student at the Department of Information Management and Business Systems, Faculty of Management, Comenius University Bratislava. She holds a Master's degree from Donetsk National University (2014).

Her doctoral research focuses on “Secure and Governed Agentic Business Process Automation: A Formal Framework for LLM-Driven Multi-Agent Workflows”. Her research interests include the security and governance of AI agents, large language models, multi-agent systems, formal methods for agentic workflows, and trustworthy AI.

Alongside her academic research, she has extensive professional experience in data science, machine learning, and natural language processing. Her professional background includes the development of machine learning systems, recommender systems, ranking models, production AI solutions, and machine learning pipelines. Her technical experience includes Python, PyTorch, Hugging Face Transformers, cloud-based ML infrastructure, and generative AI technologies.

Her current research aims to contribute to the development of secure, reliable, and governed AI-driven business process automation.