Johan Vanderhaegen
Hardware Architecture And Algorithms Lead at Precision Neuroscience
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolJohan Vanderhaegen is a hardware architecture and algorithms lead with 9 years of focused experience in analog circuit design and analog-to-digital converters, currently driving neural interface hardware at Precision Neuroscience from Cupertino. He spent nearly a decade at Google leading analog/mixed-signal IC design teams, shipping ADCs, sensors, clocking and power IPs into SoCs and delivering electrochemical sensor ASICs from prototype to production. Johan combines academic rigor—PhD and MS from UC Berkeley and long-standing lecturing for EE240C—with hands-on industry execution, bridging architecture, IC design, packaging, test, and firmware integration. Earlier leadership at Bosch and long-term research at Berkeley’s BWRC underpin a career that spans research, management, and productization. He’s served on ISSCC’s ITPC, reflecting peer recognition in the solid-state circuits community. Known for translating challenging analog-system constraints into manufacturable IP, he brings both deep circuit-level insight and practical system delivery experience.
9 years of coding experience
10 years of employment as a software developer
PhD Electrical Engineering and Computer Sciences, PhD Electrical Engineering and Computer Sciences at University of California, BerkeleyEngineering degree Electrical Engineering, Engineering degree Electrical Engineering at KU Leuven
Github Skills (25)
analyzer10
binaries10
homebrew10
administration10
command-line-tool10
macos10
cli10
lexer9
yacc9
static-analysis9
static-code-analysis9
python9
parser9
linter9
code-analysis9
Programming languages (3)
Github contributions (5)
chipsalliance/homebrew-verible
Apr 2021 - Oct 2021
Contributions:18 commits, 12 PRs, 4 pushes in 6 months
johanvdhaegen/homebrew-tools
Mar 2019 - Mar 2025
Contributions:236 releases, 1333 PRs, 1134 pushes in 6 years 1 month
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