Ole Schulz-trieglaff is an experienced computer scientist and staff scientist at Illumina UK with 14 years in algorithms, machine learning and bioinformatics. He builds production-grade C++, Python and R software for mining high-throughput genetic data, including substantial contributions to the widely used Manta structural-variant caller where he improved de novo assembly and partial-alignment support. Trained with a PhD in Computer Science and an MSc from Edinburgh, he brings rigorous research-led thinking to industrial algorithm development across teams in the US, Europe and Australia. Comfortable in multinational, cross-disciplinary teams, he pairs deep algorithmic insight with pragmatic engineering to move complex genomics methods into reliable pipelines. Outside work he helps grow the local data-science community as a volunteer organizer for PyData Cambridge.
Structural variant and indel caller for mapped sequencing data
Role in this project:
Back-end Developer & Bioinformatics Engineer
Contributions:109 commits in 7 months
Contributions summary:Ole contributed to the Manta bioinformatics tool, focusing on its assembly component. Their commits reflect work on the `SVLocusAssembler`, including its methods for extending contigs, calculating alignment scores, and processing reads in a de novo assembly process. The user was also involved in integrating the `SVLocusAssembler` with the broader Manta framework, specifically in the context of analyzing structural variants. They focused on modifying existing methods, integrating a new bam streamer interface and adding support for partial alignments within the assembly logic.
Contributions:8 pushes, 1 branch in 6 years 2 months
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