Hello everyone,
My name is
Paolo Climaco, and I am a PhD student in Mathematics at the University of Bonn. My research focuses on data-efficient machine learning regression in quantum chemistry.
Specifically, my research aims to interpret and develop model-agnostic strategies for training subset selection from a pool of unlabeled data points to improve the quality of predictions on the new data not used for training for various learning algorithms.
I'm excited to be a part of this community and look forward to discussing with fellow researchers in the field of data-efficient machine learning. Please get in touch with me with any questions or to chat about my research.
Best regards,
Paolo Cimaco