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!

Papers

Google Scholar lists all my research papers.

Reviewing

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