About Synapdeck

Campbell's background runs the gamut from Latin teacher to research chemist. A long-time Anki user, he found the platform too unintuitive and clunky for his sixth-grade Latin students, decided the time had come for something different, and wrote the whitepaper for Synapdeck.

Connor Harris studied mathematics and physics at Harvard University, graduating in 2016. As a fellow at the Manhattan Institute for Policy Research, he wrote on a wide variety of subjects including education policy, which stimulated his interest in spaced repetition. He’s used SRS for purposes including learning half a dozen foreign languages and about the same number of computer languages, cramming for firefighting certification exams and, most recently, getting less hopeless at combat sports.

Alexis is a systems engineer with expertise that spans from compiler design to machine learning infrastructure to embedded firmware to distributed systems. She's previously worked on problems as varied as automated program synthesis and mathematical modeling in quantitative finance and maintaining and improving major open source build infrastructure, and brings that base of broad experience and endless curiosity to her work at Synapdeck.

She architects our technical platform with an emphasis on correctness and performance—principles learned from building systems where getting the math wrong costs money and compiler bugs break everyone's day. Alexis has a BS in Computer Science from UC Davis and believes most software would work better if people spent less time arguing about frameworks and more time thinking about invariants.