Artur Jaroszewicz is a Staff Bioinformatics Scientist in San Diego with a PhD from UCLA and nearly a decade of hands-on experience building interpretable ML and deep learning models for multi-omics and epigenomics. He has repeatedly translated novel computational methods into practical workflows for liquid biopsy, cancer screening, and drug target discovery, including production-grade NGS pipelines on cloud platforms. Known for creative approaches to unsolved problems in fragmentomics and cell-free DNA, he combines strong software engineering (Python, PyTorch, Nextflow, GCP/AWS) with clear communication and mentorship. His work sits at the intersection of interpretable AI and translational human health, with publications and consortium-scale collaborations that bridge research and product.
Contributions:89 commits, 10 PRs, 64 pushes in 1 year 4 months
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