Prospective Applicants

Thank you for your interest in my research group!

If you’re interested in working together, please skim the list below or my research page to see what I work on. Find some papers that look interesting and read their abstracts. Pick one paper and read it fully. If you’re still interested, please complete one of the forms below:

• Prospective Postdoctoral Researchers
• Prospective PhD Students
• Visiting Student Researchers

Topics

Some of the topics that we are currently working on include:

• Selective Classification
• Aggregating and Eliciting Human Preferences
• Measuring and Mitigating Cognitive Biases in Human-AI Systems
• Learning under Label Noise, Dataset Shifts, and Underspecification
• Active Learning, Labeling, and Data Annotation

Here are some papers that I am most excited about.

Machine Learning Systems with Human Interventions

• Participatory Personalization in Classification
• Classification with Conceptual Safeguards

Algorithmic Recourse

• Actionable Recourse in Linear Classification
• Prediction without Preclusion: Recourse Verification with Reachable Sets

Personalization

• When Personalization Harms Performance
• On the Epistemic Limits of Personalized Prediction

Uncertainty Quantification for Individual Predictions

• Predictive Multiplicity in Classification
• Predictive Multiplicity in Probabilistic Classification

Interpretable Machine Learning

• Learning Optimized Risk Scores
• Learning Optimized Predictive Checklists