Research Summary
Research Summary
Overview
Description
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build fair and interpretable models that can aid human decision-making?
2. How to ensure that models and their explanations are robust to adversarial attacks?
3. How to train and evaluate models in the presence of missing counterfactuals?
4. How to detect and correct underlying biases in human decisions and algorithmic predictions?
These questions have far-reaching implications in domains involving high-stakes decisions such as criminal justice, health care, public policy, business, and education.
1. How to build fair and interpretable models that can aid human decision-making?
2. How to ensure that models and their explanations are robust to adversarial attacks?
3. How to train and evaluate models in the presence of missing counterfactuals?
4. How to detect and correct underlying biases in human decisions and algorithmic predictions?
These questions have far-reaching implications in domains involving high-stakes decisions such as criminal justice, health care, public policy, business, and education.
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