Mirko Polato
Tenure-Track Assistant Professor at Università degli Studi di Torino
Turin, Piedmont, Italy
Summary
👤
Senior🎓
Top SchoolMirko Polato is a tenure-track Assistant Professor in Computer Science at the University of Turin with a decade of experience bridging machine learning research and applied systems. He earned a PhD in Brain, Mind and Computer Science studying logic-based kernels for categorical data and collaborative filtering, and has since focused on the representation problem in recommender systems, representation learning, interpretability, and federated learning. His background includes a multi-year postdoctoral appointment at the University of Padua and a visiting stint at TU Delft, reflecting a strong mix of theoretical kernel methods and practical applications in security, finance, and process mining. Mirko combines academic rigor with hands-on development (early R&D and CAD internship experience) and a sustained teaching role in programming for mathematicians, making him adept at translating complex ML ideas into teachable, deployable solutions.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Master's degree at Università degli Studi di PadovaPerito Informatico, Perito Informatico at ITIS “Ferruccio Viola” di Rovigo
Italian, English
Github Skills (23)
simulation10
pytorch10
variational-autoencoder10
generative-adversarial-network10
autoencoder10
matrix-factorization10
python-modules10
collaborative-filtering10
federated-learning10
recommender-system10
pypi10
representation-learning9
kernel-methods9
deep-learning9
kernel5
Programming languages (2)
Github contributions (5)
makgyver/rectorch
Feb 2020 - Mar 2021
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Contributions:2 releases, 296 commits, 4 PRs in 1 year 1 month
pytorchrecommender-systemcollaborative-filteringautoencodervariational-autoencoder
makgyver/PRL
Feb 2019 - Mar 2019
Contributions:47 commits, 42 pushes, 1 branch in 1 month
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