Filip Schlembach (F.)

I am a PhD candidate at Maastricht University’s Department of Advanced Computing Sciences (DACS) supervised by Mark Winands and Evgueni Smirnov. My research focuses on predictive uncertainty quantification for multivariate regression and time series forecasts. More specifically, I work within the framework of Conformal Prediction applied to multivariate nonexchangeable data.

Before joining DACS as a PhD candidate I graduated with an MSc in Data Science for Decision Making at the same department in 2022. My thesis on Conformal multistep-ahead multivariate time-series forecasting won the department’s thesis award. Prior to that, I obtained a BSc in Scientific Programming from the FH Aachen, focusing on data science and machine learning.