Marek is an interdisciplinary researcher focused on mechanistic interpretability, AI safety, and Bayesian ML, with a background in natural language processing.

He completed an MSc in Advanced Computer Science at the University of Oxford in 2025 with a distinction. At Oxford's Machine Learning for Global Health Lab, he worked as a research assistant and wrote his dissertation on conformal prediction for neural machine translation.

His work has been recognised with the AACL Area Chair Award (2023), Best Paper at AfricaNLP (ICLR 2023 Workshop), and First Prize at the Asia Student Supercomputer Challenge (2021). He has presented at Supercomputing Frontiers Europe (2020, 2021).