Teaching

Currrent and Upcoming Teaching

• 2026Spring

  Generalization and Causality in Biohealth (STATS 354)

  Stanford University

• Present2015

  Coursera Machine Learning Specialization

  A sequence of courses introducing machine learning from a hands-on, intuitive perspective.

Teaching History

• 2026Spring

  Generalization and Causality in Biohealth

  Stanford University

• 2026Winter

  Introduction to Machine Learning (CS 229)

  Stanford University

• 2024Winter

  Introduction to Machine Learning (CS 229)

  Stanford University

• 2023Fall

  Machine Learning for Sequence Modeling (CS 229B / STATS 232)

  Stanford University

• 2023Spring

  Modern Applied Statistics: Learning II (STATS 315B)

  Stanford University

• 2022Fall

  Intro to Time Series (STATS 207/307)

  Stanford University

• 2022Spring

  Modern Applied Statistics: Learning II (STATS 315B)

  Stanford University

• Fall2021

  Intro to Time Series (STATS 207/307)

  Stanford University

• Spring2018

  Intro to Machine Learning (CSE/STAT 416)

  University of Washington

• Winter2017

  Machine Learning (CSE 446)

  University of Washington

• Spring2015

  Machine Learning for Big Data (CSE 547 / STAT 548)

  University of Washington

• Spring2014

  Nonparametric Regression and Classification (STAT 527)

  University of Washington

• Winter2014

  Machine Learning for Big Data (CSE 547 / STAT 548)

  University of Washington

• Spring2013

  Nonparametric Regression and Classification (STAT 527)

  University of Washington

• Winter2013

  Statistics for Big Data (STAT 592)

  University of Washington

• Fall2011

  Statistical Inference (STAT 431)

  The Wharton School, University of Pennsylvania