About me
The biology is the hard part.
Currently, I am working on giving agents the capabilities to analyse real biological data and replicate experiments. We put the statistics first: we do not need to write every t-test from scratch, but rather show them the right context so that they can reach the right conclusions. Alongside it, I write and maintain open-source packages β MCPR, plotly.repel and CodeDjinn.
In brief
- 2026β AI & bioinformatics, BigOmics Analytics, Lugano
- 2024β26 Postdoctoral researcher, Boeck Lab, Basel β deep learning for microscopy
- 2017β22 PhD, University of Cambridge β Floto Lab
- 2014β16 MSc Molecular Biology & Biotechnology, University of Groningen β Honours College
The full record lives on Google Scholar and LinkedIn.
Recent News
- I joined BigOmics in Lugano, CH to develop their AI capabilities. [01-02-26]
- My PhD main thesis work was published in Nature Microbiology. [24-11-25]
- I joined the Boeck Lab in Switzerland to develop a automatic image analysis pipeline to track antibiotic killing with microscopy. [01-01-24]
- I joined the Bryant Lab to develop lung-on-a-chip for the study of chronic infection. [09-01-23]
- I was awarded the Sandpit Cambridge Infectious Diseases award (Β£10.000) in cooperation with Felicity Crawsay-Williams, Daniel Bulh, TomΓ‘s Kappes and Pei-Yu Hsieh to develop smart probiotic therapies. [14-02-22]
