Ben Shababo
Forward Deployed ML Engineer at Modal
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBen 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.
14 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, BerkeleyFilm & Media Arts, Film & Media Arts at Temple UniversityBachelor of Science - BS Neuroscience & Behavior Computer Science Statistics, Bachelor of Science - BS Neuroscience & Behavior Computer Science Statistics at Columbia University
Github Skills (55)
pytorch10
python10
machine-learning10
stable-diffusion10
java10
gpu10
serverless10
ui-components9
client-library9
bayesian9
python-client9
audio9
nlp8
data-visualization8
data-analysis8
Programming languages (4)
Github contributions (5)
shababo/psc-detection
Jul 2015 - Jun 2019
Contributions:226 pushes, 1 branch in 3 years 11 months
tracesclampgibbsapproachgibbs-sampling
shababo/psc-detection-dist
Jul 2015 - Jul 2016
Distribution of code implementing the Bayesian PSC detection algorithm described in Merel et al, J. Neuro. Meths., 2016.
Contributions:255 commits, 1 PR, 13 pushes in 1 year
bayesian
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