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.
10 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