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Filip Schlembach is a PhD Candidate in the Department of Advanced Computing Sciences at Maastricht University. His research focuses on predictive uncertainty quantification, particularly in the context of multivariate regression and time series forecasts. He employs Conformal Prediction methods to analyze multidimensional nonexchangeable data. Before joining the Department of Advanced Computing Sciences, Filip completed his master’s degree in Data Science and Decision Making in 2022, where he received the Thesis Award for his outstanding master’s thesis. He is dedicated to advancing the field of data science through innovative research methodologies and the application of complex statistical techniques.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.