Summary
Daniel Braas is an Associate Director and translational biomarker scientist with nearly two decades of experience designing hypothesis-driven studies and building quantitative assay pipelines for preclinical and clinical settings. He has deep expertise in LC-MS/MS development and CLIA-regulated assay production, plus hands-on mastery of RT-qPCR, flow cytometry, PET/CT and high-throughput cell viability platforms. Daniel has led and scaled a university core that quantified 200+ small molecules and generated significant service revenue while collaborating with 70+ labs, and he has transitioned those capabilities into industry roles optimizing drug biomarkers and automating assays. A quantitative analyst proficient in R, he builds multi-omics statistical pipelines and software for PQ/QC automation that bridge wet lab work with production informatics. His publication record (51 papers, >3,500 citations) and history of supervising cross-disciplinary teams underline his ability to translate complex biology into validated, clinic-ready assays. Based in Madison, WI, he combines deep mechanistic knowledge of cancer and immune metabolism with practical experience managing CRO partnerships and clinical biospecimen programs.
9 years of coding experience
13 years of employment as a software developer
Ph.D. Chemistry / Molecular Biology, Ph.D. Chemistry / Molecular Biology at University of Münster
High school, High school at Mariengymnasium Jever
University of California, Los Angeles
German, English