Elron Pens

Elron Pens is a doctoral researcher in the Machine Learning Group at Technical University of Berlin. His research focuses on applying deep neural networks to molecular excited state properties and fragment-based quantum chemistry methodologies. He holds dual degrees from Technische Universität Berlin: a B.Sc. in Chemistry (2018) and an M.Sc. in Chemistry (2021).

• Education:
• M.Sc. Chemistry, Technische Universität Berlin (2021)
• B.Sc. Chemistry, Technische Universität Berlin (2018)

Research interests span interdisciplinary areas combining quantum chemistry computational methods (DFT, TDDFT, QM-MM) with modern machine learning approaches like generative models. His work bridges molecular modeling and artificial intelligence to improve computational efficiency in quantum chemistry simulations.

No specific grants or awards are mentioned in the provided text. He is affiliated with the Machine Learning Group at TU Berlin, focusing on advancing computational chemistry techniques through AI integration.