Teaching

Courses I help teach at Ben-Gurion University of the Negev, most of them on studying minds and brains with computational models, and the students I have mentored and tutored.

Courses

  • from 2026/27

    Teaching assistant

    Academic Writing

  • 2023/24, 2024/25, 2025/26 and 2026/27

    Teaching assistant

    Introduction to Computation and Cognition

    Basic approaches in computational neuroscience and machine learning: artificial neural networks for supervised, unsupervised and reinforcement learning, and Bayesian models of perception and decision-making, with Python assignments.

  • spring 2026

    Teaching assistant

    Deep Learning for Neuroscience and Cognition

    A theoretical and hands-on introduction to the main branches of modern deep learning, from convolutional networks to transformers and generative models, and their applications in neuroscience and cognition.

  • spring 2024

    Teaching assistant

    Computational Approaches to Neuroimaging

    Computational analysis of human functional magnetic resonance imaging (fMRI) data: the general linear model, machine-learning decoding, representational similarity analysis and encoding models, including artificial neural networks, applied in Python.

Students

  • –

    Mentor

    Two undergraduate research students

    In the lab: one on model–brain alignment, one on statistical modeling of neural spiking data.

  • –

    Tutor

    Academic tutoring, Dean of Students Office

    Calculus, linear algebra and statistics.