Summary
John Ksander is a machine learning engineer and computational researcher with a PhD in cognitive neuroscience and nearly a decade of hands-on experience applying ML, reinforcement learning, and biophysical modeling to defense, neuroscience, and autonomy problems. He has a strong track record in high-performance computing—designing and optimizing GPU/CPU-parallelized multi-agent RL codebases and HPC pipelines that power large-scale fMRI and simulation studies. At Scientific Systems he led projects that brought RL and compact deep-learning diagnostics onboard constrained underwater vehicles and decoded mission state from network traffic, while also managing teams and customer relationships. His background in psychophysiology and brain modeling gives him a rare ability to translate complex biological signals into robust, interpretable models for real-world autonomous systems. Now based in Boston and currently at Prodege, he combines research rigor with production-minded engineering to deliver efficient, explainable ML for resource-constrained platforms.
9 years of coding experience
11 years of employment as a software developer
High School Diploma, High School Diploma at St. John's Prep
Bachelor of Science - BS, Psychology, Bachelor of Science - BS, Psychology at University of Massachusetts Amherst
Doctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at Brandeis University