Deep6 AI
Lane Barlow is a Staff Software Engineer at Deep 6 AI. Lane plays a crucial role in architecting improvements in Deep 6's FHIR enrichment pipeline with a recent focus on cost reduction and improved observability. Lane has also held previous positions in the software engineering field, such as Senior Software Engineer at DataSense Analytics and Twine Analytics, where Lane significantly contributed to the development of backend features and tools utilized by data scientists to deliver insights to industry leaders. Lane holds a Bachelor's Degree in Mathematics and Computer Science from UC San Diego.
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Deep6 AI
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Deep6 AI finds more, better-matching patients for clinical trials in minutes rather than months by using artificial intelligence on clinical data.