Sara Achour is an Assistant Professor jointly appointed in Computer Science and Electrical Engineering at Stanford, specializing in programming languages, compilers, and runtimes that help end-users harness emerging analog and nontraditional computing platforms. With a PhD track at MIT and over a decade of research and industry experience including internships at Qualcomm and HP, she combines deep systems and language design expertise with practical hardware-aware concerns. She co-founded Unconventional AI to translate academic advances into applied research and tools for analog computing, signaling a commitment to bridging theory and impact. Based in Redwood City, her work uniquely focuses on making analog behaviors accessible to everyday developers rather than just specialists.
12 years of coding experience
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Massachusetts Institute of Technology
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Sara Achour - Assistant Professor at Unconventional AI