Causal Effects of TV Advertisements
I am spending a few months at Microsoft Research NYC as a Research Intern estimating the causal effects of TV advertisements on consumer behaviors.
Explainable Artificial Intelligence
Using Bayesian teaching, the goal is to build a machine that uses examples to explain opaque models to human beings, where the examples are very small subsets of the original training data. We demonstrated the efficacy of this approach to model explanation through human experimentation via Amazon Mechanical Turk.
I designed and evaluated teaching models to make neural network image classifiers (e.g. ResNet) interpretable to human users at the category, datum, and feature levels.