Novel Ion Suppression-Based MS Approach (IS-MS) for Identification of Liquid Samples: Wine as a Case Study
Hi, I'm David.
I build robust and interpretable models for real-world problems, drawing on machine learning (trustworthy AI, self-supervised learning, adversarial methods) and quantitative social science (econometrics, algorithmic fairness).
Open to collaborations, supervising master’s theses, and
opportunities at DDMind.
How I like to
work.
News
- Our paper on ion-suppression mass spectrometry appeared in Analytical Chemistry.
- New preprint: Read the Paper, Write the Code, on agentic reproduction of social-science results.
- New post: Building an Order Book from Scratch.
- First prize at the Swiss AI Safety Prize for Synthetic Cancer.
Selected publications
All publicationsRead the Paper, Write the Code: Agentic Reproduction of Social-Science Results
Synthetic Cancer: Augmenting Worms with LLMs