Martin Michajlow

Martin Michajlow is a doctoral researcher in the Machine Learning Group at TU Berlin since June 2024. His research explores the intersection of machine learning and quantum chemistry, with a focus on molecular systems modeling. He holds a B.Sc. in Mathematics from Saarland University (2018) and an M.Sc. in Mathematics from TU Berlin (2024), both completed under academic supervision.

Education:

• Bachelor of Science in Mathematics, Saarland University (2018)
• Master of Science in Mathematics, Technical University of Berlin (2024)

Research interests include developing equivariant graph neural networks for atomic/molecular property prediction, geometric deep learning applications in chemistry, and message passing neural networks for molecular dynamics simulations. Current projects emphasize improving computational efficiency and predictive accuracy in quantum chemistry through advanced ML architectures.

No scientific awards or grants have been documented in the available information. He has no listed advisees at this time.

Labs/Teams: Core member of TU Berlin's Machine Learning Group, collaborating on interdisciplinary AI+chemistry projects.