Natalie Cygan
Software Engineer, Brain Interfaces at Neuralink
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolNatalie Cygan is a software engineer specializing in brain–computer interfaces with eight years of experience and a blend of CS and electrical engineering training from Stanford. She currently builds neural interface software at Neuralink after progressing from intern roles there and at Google, bringing hands-on systems and embedded experience to high-risk, high-reward product development. Comfortable across firmware-adjacent stacks and research-grade engineering, she focuses on reliable, safety-minded software that bridges biological signals and compute. Based in Palo Alto, she pairs academic rigor from her MS in EE with practical mentorship experience as a long-time CS section leader. Her personal ethos—"putting brains in computers and computers in brains"—reflects a rare combination of curiosity about neuroscience and expertise in production software. Colleagues note she thrives on the intersection of experimental hardware and scalable software systems, often solving problems that require both circuit-level intuition and clean code.
8 years of coding experience
2 years of employment as a software developer
International Baccalaureate Diploma, International Baccalaureate Diploma at Denton High SchoolMaster of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at Stanford University
English, French
Github Skills (56)
raspberry-pi-pico10
open3d10
visualization10
rendering10
volume-rendering10
odometry10
computer-graphics10
mesh-processing10
asciidoc9
postgresql-database9
pytorch9
python9
cluster-computing9
machine-learning9
opengl9
Programming languages (7)
Github contributions (5)
cygann/umbelt-sw
Jul 2021 - Jan 2023
A haptic sensory substitution platform
Contributions:26 reviews, 94 commits, 21 PRs in 1 year 6 months
substitutionhapticpythonsensory-substitution
cygann/cygann.github.io
Jul 2019 - Jul 2021
Contributions:28 pushes, 1 branch in 2 years
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