Chris Macklin is a staff computational biologist blending deep physics training with software engineering to design robust, scalable science automation. He currently leads computational biology initiatives at 10x Genomics, collaborating across disciplines to accelerate biomedical research and data-driven discovery. With a track record spanning backend and data engineering, complex systems integration, and experimental automation, he thrives in fast-paced environments that demand reliable, end-to-end solutions. His career spans roles at 10x Genomics, Amyris, Demetrix, and Berkeley Lab, anchored by a PhD in Physics from UC Berkeley and a BA in Physics from Cornell. He excels at turning complex scientific requirements into practical software infrastructure that scales from subatomic data processing to frontend tooling, enabling domain experts to move fast. Based in the San Francisco Bay Area, he brings cross-disciplinary collaboration and hands-on leadership to innovative biology and data science projects.
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