Teaching

PhD, MSc thesis and internships

I am currently hiring PhD students. If you are interested in machine learning robustness, reliability, and reasoning, please feel free to get in touch with me or send an application here. Additionally, I have several master thesis proposals available in Trustworthy Machine Learning such as:

  • Model Selection with Limited Labeled Data (aka Active Model Selection)
  • Model Selection for Large Language Models (LLMs)
  • Reasoning Abilities of LLMs
  • Graph Neural Networks Explainability with Knowledge Reasoning (to be co-advised with Sebastijan Dumančić)
  • Synthetic Data Generation and Valuation using Knowledge Graphs (to be co-advised with Sebastijan Dumančić)
  • Robust Game-theoretical Data Valuation (using Shapley, Banzhaf indices and as such)

Slightly bit more theoretical topics:

  • Revisiting Berry-Esseen Theorem: Finite-sample Convergence Bounds for Sum of IID Random Variables
  • Modeling Click-through Rates in Social Networks with Bounded-Martingales

TU Delft students may find more information on these projects at https://projectforum.tudelft.nl/.

Current courses

At TU Delft, I am (will be) teaching the following courses:

  • CS4220 Machine Learning (Quarter 2, 2023/2024)
  • Generative Modeling (Quarter 4, 2024/2025)

Past courses

I previously served as a teaching assistant for the following courses at ETH Zurich:

  • 252-0535-00L Advanced Machine Learning (autumn semester)
  • 252-0220-00L Introduction to Machine Learning (spring semester)