I am a machine learning data scientist at Apple, where I work on algorithm evaluation. Before that I was at Roche, building large language model applications for clinical development. I also spent some time in the clinical quality assurance organization, and in the statistical modeling group supporting the development of nanopore sequencers.
My background is in theoretical physics (quantum fields and strings) and I have some experience working in finance.
In my spare time, I enjoy ski touring, mountain biking and cycling, especially in the Swiss Alps where I grew up.
In this blog, I am sharing learnings from my data science and applied mathematics journey.
Get in touch
You can message me on LinkedIn.
Selected publications
- Bayesian modeling for the detection of adverse events underreporting in clinical trials
- Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning
- Using Statistical Modeling for Enhanced and Flexible Pharmacovigilance Audit Risk Assessment and Planning
- Chern-Simons Theory with Wilson Lines and Boundary in the BV-BFV Formalism