Teaching



Coursera Specialization in Machine Learning

Read more about it here.


Stat 548 / CSE 547: Machine Learning for Big Data

University of Washington
Lecturer, Spring 2015.


Stat 548 / CSE 547: Machine Learning for Big Data

University of Washington
Lecturer, Winter 2014.


Stat 527: Nonparametric Regression and Classification

University of Washington
Lecturer, Spring 2013.


Stat 592: Statistics for Big Data

University of Washington
Lecturer, Winter 2013.


Stat 431: Statistical Inference

The Wharton School, University of Pennsylvania
Lecturer, Fall 2011.


6.438: Algorithms for Estimation and Inference

Massachusetts Institute of Technology
Teaching Assistant, Fall 2008.


6.437: Inference and Information

Massachusetts Institute of Technology
Teaching Assistant, Spring 2008


COS597C: Bayesian Nonparametrics

Princeton University
Guest Discussant, Fall 2007


Cambridge-MIT Institute: Switch-Mode and Radio-Frequency Electronics

Massachusetts Institute of Technology
Student Lecturer for Preparation Courses, Fall 2003, 2004, 2005