Mark Goldwater is a PhD candidate at the MIT/WHOI Joint Program specializing in applying machine learning, signal processing, and communication theory to scale ocean acoustic monitoring. With eight years of hands-on experience across WHOI, MIT Lincoln Laboratory, and Olin College, he builds and deploys ML-backed detection pipelines—ranging from CNNs for whale call spectrograms to SDR experiments for drone detection. His work bridges theory and field systems, combining firmware/SDR, C/C++ control code, and Python/TensorFlow models to turn large passive acoustic datasets into actionable environmental insights. Co-advised by experts in ocean acoustics, he contributes to interdisciplinary labs (OASL, MARS) and has published rapid findings while presenting at professional acoustics meetings. Notably, he has practical experience integrating communications hardware and signal-processing algorithms to make research reproducible and operational in noisy, real-world maritime environments.
8 years of coding experience
3 years of employment as a software developer
Newton North High School
Doctor of Philosophy - PhD, Electrical Engineering and Computer Science & Ocean Engineering, Doctor of Philosophy - PhD, Electrical Engineering and Computer Science & Ocean Engineering at Massachusetts Institute of Technology
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at Franklin W. Olin College of Engineering
Contributions:3 pushes, 1 branch, 1 comment in 1 year 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.