Media coverage

2022

ETH news: AI offers a faster way to predict antibiotic resistance

SRF Wissenschaftsmagazin: Mit Künstlicher Intelligenz schneller zum richtigen Antibiotikum

Invited Talks and Tutorials

2020

Kernel-based antimicrobial resistance prediction from MALDI-TOF mass spectra
I presented our work on kernel-based antimicrobial resistance prediction at the “Machine Learning for Global Health” workshop at ICML, 2020.
slides. video.

Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra
This proceedings presentation introduces our new paper “Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra” in OUP Bioinformatics at ISMB, 2020.
slides. video

2019

t-SNE - effective usage, avoiding pitfalls, and alternatives
I presented this tutorial to a biology-focused audience in our intradepartmental seminar at D-BSSE, ETH Zurich. The slides and code to recreate and interact with all examples are available.
slides. jupyter notebook.