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

Sample Topics and Relevant Papers

Here are some of our latest papers that I am currently most excited about.

Algorithmic Recourse

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

Uncertainty Quantification Individual Predictions

• Predictive Multiplicity in Classification
• Predictive Multiplicity in Probabilistic Classification

Personalization in Machine Learning

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

Machine Learning Systems with Human Interventions

• Participatory Personalization in Classification
• Classification with Conceptual Safeguards

Interpretable Machine Learning Models

• Learning Optimized Risk Scores
• Learning Optimized Predictive Checklists

Other Topics

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

• Selective Classification
• Rankings, Consensus, and Preference Aggregation
• Measuring and Mitigating Cognitive Bias in Human-AI Systems
• Learning under Label Noise, Dataset Shifts, and Underspecification
• Active Learning, Labelling, and Data Annotation