Joseph Gatto
Machine Learning Scientist at Abridge
Hanover, New Hampshire, Other
Summary
👤
Senior🎓
Top SchoolJoseph Gatto is a machine learning scientist and computer vision researcher with eight years of experience bridging academic research and applied autonomy, currently advancing ML products at Abridge. He previously developed Mars rover technologies and interpretable ML methods at NASA JPL and worked on perception stacks for self-driving cars at Columbia University, bringing deep domain knowledge in autonomous navigation. Matriculating to a Ph.D. program at Dartmouth after a Magna Cum Laude CS degree from Columbia, he focuses on making learned systems both performant and interpretable. Notably, his background spans government labs, NSF-funded projects, and industry, giving him a rare blend of research rigor and product-minded engineering.
8 years of coding experience
3 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at Dartmouth CollegeB.A., Computer Science, Magna Cum Laude, B.A., Computer Science, Magna Cum Laude at Columbia University in the City of New York
Github Skills (106)
sentence10
multilingual10
sentence-embeddings10
roberta10
electra10
word-embeddings10
similarity10
sentence-similarity10
nlp9
python9
deep-learning9
graph-convolutional-networks9
lifecycle9
pytorch9
artificial-intelligence9
Programming languages (4)
Github contributions (5)
JosephGatto/Simplified-Restricted-Boltzmann-Machines
Jan 2018 - Jun 2020
Contributions:9 commits, 8 pushes, 1 branch in 2 years 5 months
JosephGatto/josephgatto.github.io
Nov 2019 - Jan 2020
Contributions:72 pushes in 2 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.