Summary
Tobias Meissner is a director-level leader in cancer genomics and biomedical data science with 11 years of experience building precision oncology programs that integrate clinical, genomic, and outcomes data. Based in Sioux Falls, he has driven EHR integration, AI/LLM solutions for unstructured clinical text, and a Precision Oncology Database & Registry to support real-world evidence and survivorship research in a rural community cancer center. His background spans hands-on assay development, multi-omics analysis, and tool development from academic labs at Scripps and Heidelberg to operationalizing analytics and PowerBI reporting for clinical decision-making. As an adjunct and clinical assistant professor, he blends translational research and education with pragmatic deployments that reduce manual effort and improve data quality. He’s known for turning n-of-1 sequencing insights into actionable treatment recommendations and for championing multimodal data fusion to refine predictive models across the cancer care continuum. Notably, his career traces a rare mix of wet-lab assay experience, algorithm development, and system-level implementation in community oncology settings.
11 years of coding experience
16 years of employment as a software developer
Dr. sc.hum. (PhD) Internal Medicine Nuclear Medicine Human Genetics, Dr. sc.hum. (PhD) Internal Medicine Nuclear Medicine Human Genetics at Heidelberg University
Bioinformatics (BSc), Bioinformatics (BSc) at University of Applied Sciences Bingen
German, English