Research & Projects

So far, my research has focused on understanding how learning algorithms behave under uncertainty, especially when data labeling is imperfect, ambiguous, or weak, and on building models that are not only accurate but also reliable and well-calibrated.

Current Focus

• Machine learning under uncertainty
• Calibration of machine learning models