Ido Nachum joined the Department of Statistics at the University of Haifa in 2024. He began his career as an aerospace engineer in RAFAEL Ltd. (Atuda military service) while completing his MSc in pure math (2015, Technion), studying measured group theory. In his PhD (2019, Technion), he studied statistical learning questions through the lens of information theory and was a postdoctoral researcher in the School of Computer Science at EPFL, focusing on mathematical questions that arise from artificial neural computation.

• Nachum I.,  Shafer J.,  Weinberger T.,  Gastpar M.  Fantastic Generalization Measures are Nowhere to be Found.  ICLR 2024.  https://arxiv.org/abs/2309.13658
• Nachum I., Hazla J., Gastpar M., Khina A.  A Johnson–Lindenstrauss Framework for Randomly Initialized CNNs.  ICLR 2022.  https://arxiv.org/abs/2111.02155
• Bassily R., Moran S., Nachum I., Shafer J., Yehudayoff A.  Learners that Use Little Information. ALT2018. https://arxiv.org/abs/1710.05233