PhD Student

E-Mail

hugifl@get-your-addresses-elsewhere.ethz.ch

I'm interested in developing and applying machine learning methods to improve our understanding of biological systems and technologies across the domains of single-cell omics and biological engineering.

My current focus is on data from scalable CRISPR-based screening technologies like Perturb-seq, which enable precise single-gene perturbations and causal mapping of gene–cell state relationships at single-cell resolution. Here, I am developing data analysis and machine-learning methods to interpret perturbation-induced transcriptional changes and predict cellular responses.

I studied Bioinformatics and Biology at ETH Zürich. Currently, I am a shared PhD student with the Laboratory for Biological Engineering at the D-BSSE, where we are generating some of the most comprehensive single-cell perturbation datasets from the mouse brain and other tissues.

In the past, I’ve worked on a broad range of projects in academia and industry, including developing DNA-sequence models and bioinformatics pipelines, single-cell multimodal data integration, and pharmacokinetic modeling of a gene therapy in the eye.

I’m open to collaborations and to supervise student projects.