🔬 research

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Research interests

My research interests mainly revolve around machine learning (ML), where I focus on:

  • 🎯few-shot learning: how can we transfer ML model task knowledge to related tasks, efficiently?
  • 🤖automated machine learning: how can we reduce human input in ML model design & training?
  • 🎲probabilistic modeling: how can we incorporate uncertainty in modeling data processes?

Previously, I have also worked on research and published in the area of 💡analog circuit design. So, you could say I am really a full-stack researcher from silicon hardware up to AI software!


Google Scholar lists all my research papers.


I am a regular reviewer, for the following venues: AISTATS, AutoML, Pre-registration Workshop at NeurIPS, IEEE TPAMI, AutoML Workshop at ICML, Nature Digital Medicine, Swiss Machine Learning day