Nick Furlotte is a PhD-trained R&D scientist and software engineer with 13 years of experience building ML/AI-driven products at the intersection of consumer health and genomics. He led statistical genetics and health R&D at 23andMe, contributed to genomics and LLM work at Google Research, and now co-founded Devano AI to translate AI into scientific discovery and products. Comfortable moving between research and production, he has a track record of turning statistical methods into consumer-facing features and scalable ML systems. Based in San Francisco, he blends deep domain expertise in genetics with practical engineering chops and an entrepreneur’s appetite for novel product ideas. An under-the-radar strength is his long history of building custom data tooling and pipelines that tame messy biological data for real-world applications.
13 years of coding experience
12 years of employment as a software developer
Master's Degree Bioinformatics, Master's Degree Bioinformatics at University of Memphis
A fast and lightweight python-based linear mixed-model solver for use in genome-wide association studies.
Contributions:39 commits, 1 push in 2 years 6 months
python
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