David Wissel

I am a PhD student shared between the Boeva Lab at ETH Zurich and the Robinson Lab at the University of Zurich.

I hold a Master’s in Statistics from ETH Zurich and a Bachelor’s in Business Administration from the Free University of Berlin. My current research interests are in long-read RNA-seq (primarily benchmarking of methods and technologies, some data analysis) and survival analysis (calibration and how to improve it, interpretability, methods for high-dimensional omics datasets).

I will be on the job market in 2027 and am actively considering roles across quantitative finance, bioinformatics and ML across the EU and the UK.

news

Jun 09, 2026	I have submitted my doctoral thesis, titled “Characterizing the limits of multi-omics survival models and long-read transcriptomics for precision medicine”. My defense will take place in hybrid mode in Zurich at the beginning of July.
May 05, 2026	We have a new preprint, Building computational benchmarks: an Omnibenchmark reimplementation of a single-cell preprocessing pipeline evaluation, led by Atreya, out on bioRxiv. We reimplement a single-cell RNA-seq preprocessing pipeline benchmark as a showcase of Omnibenchmark.
Apr 04, 2026	We have a new preprint, Benchmarking long-read RNA-seq across modalities, methods, and sequencing depth in iNeurons, joint work with Gianfranco, out on bioRxiv. We sequenced a Fragile X case-control dataset to benchmark bulk- and single-cell long-read RNA-seq methods and technologies.
Feb 25, 2026	Our paper A systematic benchmark of high-accuracy PacBio long-read RNA sequencing for transcript-level quantification, joint work with Madison, is now out in Genome Biology. We introduce a new WTC11 endothelial cell differentiation dataset to evaluate the performance of high-depth PacBio Kinnex bulk RNA-seq for transcript quantification.
Jan 01, 2026	Hello world! Only shortly before finishing my PhD, I finally managed to set up my personal website and will be tracking any news going forward (and papers also retroactively).