Gabriele Santin
Verified Expert in Engineering
Machine Learning Developer
Gabriele is an applied mathematician with ten years of experience in machine learning and computational mathematics, and in their combination to solve challenging problems in simulation and data science. He is currently interested in cracking problems involving structured data and physics-informed models, especially those related to graph machine learning.
Portfolio
Experience
Availability
Preferred Environment
Python, MATLAB, PyTorch, PyTorch Geometric (PyG), GitHub, Jupyter Notebook
The most amazing...
...project I've developed is a digital contact tracing simulator combining a mathematical forecast model with a spread simulation on a real contact network.
Work Experience
Researcher and Data Scientist
Bruno Kessler Foundation
- Developed a digital contact tracing simulator combining a mathematical forecast model with a spread simulation on a real network. The technology has been used in the creation of the work-safety startup, Tech4Safe.
- Designed and developed an open-source tutorial on PyTorch Geometric, a leading tool for implementing geometric deep learning algorithms. The video tutorials—available at https://github.com/AntonioLonga/PytorchGeometricTutorial—have 50,000 views.
- Built and executed a federated learning model for a secure training of a distributed anomaly detection system.
Researcher
University of Stuttgart
- Developed a benchmark to test uncertainty quantification methods for the reliable simulation of geophysical problems. The benchmark has been developed as the result of the collaboration between four research groups across multiple disciplines.
- Implemented a package for the training of greedy algorithms for kernel-based learning available at https://github.com/GabrieleSantin/VKOGA. The algorithms have been used in several research projects.
- Designed, analyzed, and implemented a machine learning surrogate to accelerate the flow simulation in a model of the human vascular network. The model achieved a 0.1% relative error of order and a one-million speedup factor over the full system.
Experience
Federated Anomaly Detection
Digital Contact Tracing
https://github.com/DigitalContactTracing/covid_codeEducation
Ph.D. in Computational Mathematics
University of Padova - Padova, Italy
Master's Degree in Mathematics
University of Padova - Padova, Italy
Skills
Libraries/APIs
NumPy, PyTorch, Pandas
Tools
MATLAB, GitHub
Languages
Python
Paradigms
Data Science
Platforms
Jupyter Notebook
Other
PyTorch Geometric (PyG), Machine Learning, Deep Learning, Numerical Simulations, Scientific Computing, Scientific Data Analysis, Mathematics, Research, Applied Mathematics, Optimization, Data Analysis, Algorithms, Graphs
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