Florian Schmidt

Background

About Florian Schmidt

Driving innovation in computational immunology, machine learning, and single-cell multi-omics to advance next-generation TCR therapies. Award-winning PhD holder in computational biology, with impactful contributions to T-cell specificity prediction, drug response prediction, scRNA-seq analysis software development, and machine learning driven integrative multi-omics for elucidation of gene regulation. Internationally experienced scientist with academic and industry expertise—plus a creative twist as a freelance yoga teacher and model train dealer. Publicly available research from ImmunoScape includes T-cell specificity prediction from multi-omics phenotypes (https://doi.org/10.1016/j.celrep.2023.113250) and peptide loading predictions from epitope sequence only (https://doi.org/10.1093/bioadv/vbaf037). Selected previous work: Single-cell RNA-seq analysis software (https://doi.org/10.1186/s12859-021-04028-4, https://doi.org/10.1093/nar/gkab632), detection of prognostic markers for prediction of immunotherapy response (https://doi.org/10.1182/blood.2022017295) and several algorithms to investigate gene regulation (e.g. TEPIC (https://github.com/SchulzLab/TEPIC)).