Lukas Theo Schmitt

• RNA-Sequence differential expression analysis, whole genome sequencing structural variants analysis • Transposon integration assay sequencing analysis • Cas9 base editor guide RNA design pipeline development

Managed two small teams performing directed evolution to produce enzymes for genome editing, this included reporting progress and solving problems. Led a small team developing a high throughput directed evolution process and developed apps interfacing Benchling API to increase the efficiency of workflows, the project increased throughput by 4 times compared to the original manual method. Improved reliability and throughput of nanopore sequencing based assay with optimized cloning process, automation of the multi-step sequence data processing, data preparation for generative AI, writing SOPs, training and managing of personal.

Computational biology PhD-Student in Buchholz group. HiFi Pacbio long-read sequencing of directed evolution libraries of DNA editing enzymes (Recombinases), development of a generative deep learning algorithm for the prediction of recombinases for novel target sites, lab evaluation of the algorithm results, and performing directed evolution of recombinases for improved activity on novel target site. Inception and establishment of a high throughput pooled assay for the quantification and sequencing of DNA editing enzymes using nanopore sequencing (DEQSeq). Meta-genomics screen for the identification of new tyrosine site specific recombinases.

Processcing of bulk and single cell RNA sequence data to perform the training of machine learning algorithms to detect the pluripotency state of IPSCs

Focus on human genomics and molecular biology