Matteo Riondato
Associate Professor Of Computer Science
Amherst, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolMatteo Riondato is an associate professor of computer science at Amherst College and visiting faculty at Brown University with two decades of experience in algorithms for knowledge discovery, data mining, and machine learning. He blends theoretical rigor with practical impact, having developed fast, statistically sound methods for pattern extraction, graph mining, and time series analysis and previously contributed as a research scientist in Two Sigma’s Labs. Matteo’s work often leverages statistical learning theory and sampling to scale inference on massive datasets, and he brings hands-on engineering experience evidenced by contributions to the well-known DeepDive project’s backend, documentation, and build infrastructure. Educated in Italy and at Brown (Ph.D.), he teaches and mentors while continuing to push on both foundational algorithms and their real-world deployment.
20 years of coding experience
BS, Information Engineering, BS, Information Engineering at Università degli Studi di PadovaMaster of Science, Computer Science, Master of Science, Computer Science at Brown UniversityLiceo Ginnasio "Tito Livio" - Padova, Italy
English, German, Italian
Stackoverflow
123reputation
3kreached
0answers
1question
Github Skills (7)
postgresql10
build-configuration9
javas8
documentation8
java8
optimization6
cplex6
Programming languages (16)
Github contributions (5)
HazyResearch/deepdive
Aug 2014 - Jan 2015
DeepDive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:95 commits, 4 PRs, 16 pushes in 5 months
Contributions summary:Matteo contributed to the documentation and website by making changes to CSS files and integrating new documentation. They also worked on merging branches and resolving conflicts to integrate documentation updates into the main development branch. The user made changes to the MLN.g file, indicating an interaction with the MLN parsing and language processing capabilities. The user also made changes related to the project's settings and build configuration, demonstrating involvement in the infrastructure and build processes.
deep-learning
rionda/tmux-config
May 2017 - Feb 2023
Contributions:43 pushes in 5 years 10 months
tmux-configtmuxneovimconfigdotfiles
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