Talks

• Video and slides from a guest lecture on speech recognition and graph transformer networks for the NYU Deep Learning course.
• Slides for a talk on models for end-to-end speech recognition.
• Slides for a talk on arrhythmia detection.
• A long talk on the first version of Deep Speech (video, slides).

Tutorials

• The Stanford Unsupervised Feature Learning and Deep Learning tutorial.
• A general intro to neural networks delivered at Stanford in 2013.

Teaching

In the past I TA'd for the following courses:

• Stanford CS221, AI: Principles and Techniques, Fall 2013
• Stanford CS221, AI: Principles and Techniques, Summer 2013
• Stanford CS229, Machine Learning, Fall 2012

Awards

• Best Paper at UAI 2021 for Measuring Data Leakage in Machine-Learning Models with Fisher Information
• Nvidia 2017 Graduate Fellowship