Dr. Yuliya Shapovalova

Biography

Yuliya Shapovalova is an Assistant Professor at Radboud University, focusing on the fields of Data Science and Probabilistic Machine Learning. Her research encompasses various topics such as time series analysis, Gaussian processes, state-space models, and Bayesian inference. With a strong background in these advanced statistical methods, she contributes to the understanding of complex data structures and enhances predictive modeling capabilities. Dr. Shapovalova is dedicated to both teaching and research, aiming to integrate theoretical knowledge with practical applications in data science. She encourages students to explore innovative approaches in analyzing real-world datasets, fostering an environment of inquiry and critical thinking.

Research Interests

Experience