Busra Cagirici is a computational biologist and founder with a decade of experience turning high-dimensional single-cell and multimodal genomics into mechanistic, translational insights. She led analytical strategies at Stanford Medicine for large longitudinal patient cohorts—integrating scRNA-seq, CITE-seq, CyTOF and clinical metadata—to reveal immune states tied to disease severity, work that contributed to Nature Immunology and Nature Communications. At the USDA she engineered ML tools (including G4Boost) and benchmarking frameworks that outperformed prior methods, and she now commercializes G4Boost through Pattern Science for oncology target prioritization. Skilled in building scalable, reproducible pipelines (Scanpy, HPC/SLURM, Docker) and applying ML for patient stratification and biomarker discovery, she bridges computation and bench with a strong record of mentoring and cross-disciplinary collaboration. Based in California, she also teaches plant science and advises capstone projects, bringing real-world datasets into the classroom to train diverse future scientists.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Molecular Biology, Genetics and Bioinformatics, Doctor of Philosophy - PhD, Molecular Biology, Genetics and Bioinformatics at Sabanci University
Bachelor of Science (BSc), Molecular Biology and Genetics, Bachelor of Science (BSc), Molecular Biology and Genetics at Bilkent University
Master of Science - MS, Biomedical Sciences and Engineering, Master of Science - MS, Biomedical Sciences and Engineering at Koç University
Contributions:8 commits, 12 pushes, 1 branch in 1 year
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