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Assistant Professor in Artificial Intelligence with a strong interest in Reinforcement Learning and Computer Vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Genoa
Data Scientist
June 19, 2026 – Present
matteotortora.github.io
November 8, 2024 – Present
matteotortora.github.io — GitHub repository
View ProjectDRL-4-Early-Stress-Detection
July 25, 2023 – July 26, 2023
DRL-4-Early-Stress-Detection — GitHub repository
View ProjectMATNet
March 26, 2023 – October 2, 2025
Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting
View ProjectPyTrack
May 29, 2022 – January 16, 2025
a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction
View Projectmsc-thesis
May 18, 2020 – May 18, 2020
Deep Reinforcement Learning for fractionated adaptive radiotherapy in non-small cell lung cancer
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards research-oriented and academic data science problems, which aligns well with roles requiring deep analytical thinking and problem-solving. The diversity of projects (forecasting, computer vision, reinforcement learning, medical applications) indicates adaptability and a broad interest within the data science domain. However, the lack of team-based or industry-specific projects makes it difficult to assess collaboration and business acumen.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.