Teaching

Class Materials: Tutorial 4 on Transformers and NLP In the tutorial I covered The paradigm of self-supervised learning NLP 101: language representation and statistical modelling of language Transformer architecture Transformer beyond NLP. In this notebook Transformer...

This is a class I help TA/TFed in Harvard. It covered the basic computational models and relevant mathematical tools for sensory processing, neuron excitability, memory and learning etc. Sensory encoding, decoding, dimensionality reduction; Visual system, from Retina to...

ML from scratch is a student-led tutorial / seminar series initiated by Johannes Bill and others from Jan Drugowitsch Lab at Harvard Medical School. The objective is to teach neuroscience students to learn cutting edge machine learning models by implementing them. I started...

This is a class I TAed and helped develop in Washington University in St Louis. It was the first time this course was offered, and it is now required for first year Neuroscience graduate student in WashU. It was directed by Timothy Holy, Larry Snyder, Edward Han and Alexxai...