Ben Shababo is a Forward Deployed ML Engineer in Berkeley with 14 years of experience applying statistics, machine learning, and computational neuroscience to build end-to-end experimental and production systems. He pairs a PhD in Neuroscience and Statistics from UC Berkeley with hands-on expertise in photonics, two-photon holographic optogenetics, and rapid prototyping to deliver integrated hardware-software solutions for biotech and academic labs. His career spans research and product roles—from building multiphoton microscopy systems at 3i to developing transformer-based image models for longevity research—plus consulting on automation, data management, and experimental design. Ben’s background in film and technical direction informs a practical, design-forward approach to complex tooling and visualization, and he often bridges wet-lab needs with scalable ML deployments. Known for translating novel scientific methods into robust pipelines, he thrives where neuroscience, optics, and machine learning intersect.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Neuroscience and Statistics, Doctor of Philosophy - PhD Neuroscience and Statistics at University of California, Berkeley
Film & Media Arts, Film & Media Arts at Temple University
Bachelor of Science - BS Neuroscience & Behavior Computer Science Statistics, Bachelor of Science - BS Neuroscience & Behavior Computer Science Statistics at Columbia University
Contributions:205 pushes, 2 branches in 4 years 2 months
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Ben Shababo - Forward Deployed ML Engineer at Modal