Teaching
- Hands-on Uncertainty Analysis and Calibration for LLMs2026
A hands-on lab I designed and taught for the researchers and students in the Uncertainty-Aware Conversational AI track of the JSALT 2026 summer school. It covers uncertainty measures for LLMs, how to evaluate them, and calibration, and ends with a competition: predicting whether the model's answer is correct on a hidden test set.
- Head Course Assistant, Johns Hopkins University2023 –
Course Assistant for Gateway Computing: Python (2023 – 2025), Introduction to Optimization (2025 –), and Machine Learning (2025). Head Course Assistant for Machine Learning since 2026.