Mark Murphy
Neural Engineer at Starfish Neuroscience
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMark Murphy is a neural engineer and systems architect with 12 years of experience building implantable brain-computer interfaces and the infrastructure that powers them. He has led end-to-end system design and deployment—from Neuralink’s core compute, storage and security platforms to Precision Neuroscience’s first chronic wireless BCI—and now advances neural interfaces at Starfish Neuroscience. Adept across physics, bioinformatics, firmware and backend engineering, he bridges wet-lab constraints and production-grade software, often shipping solutions that span hardware, firmware, and cloud. He also contributes pragmatic fixes to open-source tooling (e.g., improving S3 byte-range handling in the moto library), revealing a detail-oriented approach to edge cases. Based in Seattle, he teaches and empowers teams to operate at the frontier of neuroscience technology while retaining a hacker’s curiosity for unconventional solutions.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science Engineering, Bachelor of Science (B.Sc.), Computer Science Engineering at The Ohio State UniversityHigh School Diploma,, High School Diploma, at Walsh Jesuit High School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
aws-s310
boto10
aws10
amazon-s310
python10
s3-bucket10
testing10
Programming languages (7)
Github contributions (5)
getmoto/moto
Jun 2015 - Jun 2015
A library that allows you to easily mock out tests based on AWS infrastructure.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 1 PR in 1 day
Contributions summary:Mark primarily focused on improving the behavior of S3 range requests within the Moto library. They fixed issues related to byte-range interpretation, specifically handling suffix ranges and edge cases. Their contributions involved modifying the responses and adding tests to cover various scenarios, including those with out-of-bounds ranges. The work centered on refining how the library handles S3's byte-range functionality.
awsbotoec2s3
Cellular-Longevity/status
Oct 2021 - May 2022
Contributions:717 pushes, 2 branches, 10 comments in 7 months
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