Robert Dipietro
Director, Imaging And AI at Fieldstone Bio
Greater Boston United States
Summary
🤩
Rockstar🎓
Top SchoolRobert Dipietro is a Director of Imaging and AI with 11 years of experience translating cutting-edge machine learning research into production across biotech and cloud platforms. A Johns Hopkins PhD candidate and former MIT Lincoln Laboratory researcher, he has published and presented on surgical activity recognition, unsupervised motion learning, and long-term dependency modeling in RNNs. He has moved between research and product roles at NVIDIA and Amazon, contributing patents and deploying models for speech, vision, and autonomous systems before leading imaging/AI at Fieldstone Bio. An award-winning instructor who built and taught Hopkins' Deep Learning Lab, he blends deep technical rigor with clear pedagogy. His early work in hyperspectral imaging and nanoparticle characterization shows a longstanding strength in extracting signal from noisy, high-dimensional sensors. Colleagues rely on him to bridge academic insight and practical ML engineering for real-world imaging problems.
10 years of coding experience
16 years of employment as a software developer
Johns Hopkins UniversityMaster of Science (MS), Electrical Engineering, Master of Science (MS), Electrical Engineering at Northeastern University
Github Skills (89)
python10
deep-learning10
gpu10
ml10
neural-network10
scalable10
preprocessing10
data-science10
nvidia10
tensorflow10
feature-selection10
machine-learning10
deep-neural-networks10
numpy9
acceleration9
Programming languages (9)
Github contributions (5)
rdipietro/rdipietro.github.io
Aug 2015 - Aug 2021
Contributions:4 pushes, 1 branch in 6 years 1 month
rdipietro/miccai-2016-surgical-activity-rec
May 2016 - Jan 2019
Contributions:8 commits, 6 pushes, 2 branches in 2 years 8 months
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