Aaron Adcock is a Research Engineering Manager and Tech Lead at Meta AI in New York with a decade of experience bridging academic research and large-scale production ML systems. He leads research engineering teams at FAIR after several years building machine learning and platform solutions for Facebook’s Locations team, combining hands-on engineering with people and technical leadership. Aaron holds a PhD in Electrical Engineering from Stanford, where his research applied computational topology to medical imaging and network structure—an uncommon theoretical lens he still brings to practical problems like distributed graph algorithms and tree-structure analysis. His early work scaling parallel algorithms at national labs and implementing production-ready graph partitioning in Giraph speaks to a strong background in high-performance, distributed computation. Colleagues describe him as someone who translates deep math and systems knowledge into robust, scalable infrastructure and research prototypes that make complex ideas producible.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Texas Tech University
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Stanford University
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Aaron Adcock - Research Engineering Manager Tech Lead at Meta AI