Alessio Ansuini
Deep Learning Researcher at AREA Science Park
Rome, Lazio, Italy
Summary
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Senior🎓
Top SchoolAlessio Ansuini is a deep learning researcher and theoretical physicist with a decade of experience applying advanced ML and data-analysis techniques to questions in visual and multisensory neuroscience. He has led and contributed to projects spanning visual object discrimination, multisensory integration, neural coding, and developmental neurobiology, combining electrophysiology, behavioral data and computational modeling. At AREA Science Park he coordinates research activities at the intersection of AI and neuroscience, building on a long SISSA track record of translating deep-learning tools into interpretable models of biological vision. Proficient in Python, Matlab and parallel computing (OpenMP/MPI) and transitioning to PyTorch, he pairs high-performance computing skills with a strong theoretical background in stochastic processes and mathematical physics. Notably, his work focuses not only on fitting models but on studying representational dynamics—how internal model representations evolve over time—to better align artificial and biological networks.
10 years of coding experience
6 years of employment as a software developer
Advanced machine learning algorithms in biological vision, Advanced machine learning algorithms in biological vision at SISSA-ICTP Master in High Performance ComputingDoctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at Sapienza Università di Roma
English, Italian, French
Github Skills (8)
representations10
estimate10
python7
machine-learning6
data-science5
benchmarking3
deep-learning2
pytorch2
Programming languages (3)
Github contributions (5)
ansuini/IntrinsicDimDeep
May 2019 - Mar 2020
Code for the intrinsic dimensionality estimate of data representations
Contributions:113 commits, 1 PR, 65 pushes in 10 months
pythondimensionalityrepresentationsdata-sciencemachine-learning
ansuini/Winter_School_QSB_2018
May 2018 - Nov 2018
Contributions:51 commits, 18 pushes, 1 branch in 5 months
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