Marco Salathe
Research Scientist at Berkeley Lab
Albany, California, United States
Summary
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Rockstar🎓
Top SchoolMarco Salathe is a research scientist and physicist with eight years of applied experience and over a decade working with radiation detection and high-purity germanium detectors across academic and national-lab environments. Based at Berkeley Lab, he blends experimental nuclear-physics expertise with software engineering, machine learning, computer vision and SLAM to build urban-capable radiation detection systems. He brings strong data analytics and programming chops demonstrated by hands-on embedded/ROS work integrating IMU/GPS sensors, where he optimized timing, covariance handling and message synchronization. Comfortable moving between hardware, field deployment and algorithm development, he has a track record of adopting new technologies to turn complex detector physics into practical, production-ready systems. Trained at Heidelberg and EPFL with international research stints, he pairs deep technical rigor with pragmatic engineering.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Heidelberg UniversityMaster's degree, Physics, Master's degree, Physics at EPFL (École polytechnique fédérale de Lausanne)Exchange, Physics, Exchange, Physics at National University of Singapore
English, German, French
Stackoverflow
242reputation
13kreached
7answers
8questions
Github Skills (18)
c-language10
gps10
imu10
system-integration10
sensor-fusion10
cprogramming-language10
ros10
sys9
embedded9
ruby-on-rails6
xcode6
afnetworking6
google-chrome6
font-awesome6
css6
Programming languages (11)
Github contributions (5)
dawonn/vectornav
Jul 2021 - Jan 2022
ROS Interface for the VectorNav IMU/GPS
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:1 review, 17 commits, 11 PRs in 6 months
Contributions summary:Marco primarily contributed to the ROS interface for the VectorNav IMU/GPS sensor. Their work focused on refining the integration, specifically addressing issues related to data rate synchronization and ensuring that the ROS messages accurately reflected sensor readings. The user updated external dependencies and optimized the message handling logic, including ensuring covariance matrix filling and implementing time-stamp adjustments for improved data alignment within ROS.
gpsimurosvectornav
cosama/vasapy
Jul 2020 - Jun 2026
Contributions:1 release, 31 pushes, 4 branches in 5 years 11 months
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