CV

PhD

University of Liège

AI in Power Distribution Networks

• Reinforcement Learning
• Power Systems
• Optimization Methods

Master

Polytechnic University of Turin

Data Science and Engineering

• Machine Learning
• Big Data Analytics
• Statistical Modeling

Bachelor

Tongji University

Computer Science Engineering

• Reinforcement Learning
• Autonomous Systems
• Software Engineering

Bachelor

Polytechnic University of Turin

Computer Science Engineering

• Mathematics
• Physics
• Software Engineering

PhD Researcher - AI for Power Networks

University of Liège

Developing AI-driven solutions for power grid stability in the renewable energy transition. Research includes topology identification, hosting capacity analysis, and reinforcement learning for active grid control.

• Designed algorithms for low-voltage network topology identification
• Developed fair reinforcement learning for PV active control
• Optimized phase reconfiguration in distribution networks

AI & Backend Developer Intern

Morecognition

Engineered ML pipeline for upper-limb movement classification from IMU/EMG sensors and built scalable backend infrastructure for physiotherapy analytics platform.

• Developed real-time movement classification system
• Built REST API for exercise data management

Java Junior Developer

INTESA

Contributed to full-stack development of company website, optimizing database performance and enhancing user interface components.

• Optimized SQL queries to improve database response time
• Developed both back-end (Java) and front-end (JavaScript, HTML, CSS) components
• Deployed and maintained production website

Overvoltage Forecast & Active Control in Medium-Voltage Grid

Master's thesis comparing ML models for overvoltage risk prediction and implementing RL agent for generator control

• Compared Random Forest, CNN and RNN models for voltage forecasting
• Implemented Deep Reinforcement Learning agent for real-time grid control
• Successfully mitigated voltage violations with minimal energy curtailment

Autonomous Navigation with RL

Bachelor's thesis on collision avoidance systems using reinforcement learning

• Simulated UE4 environment
• LiDAR-based navigation
• Zero-shot transfer learning

Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks

Development of equitable control strategies for photovoltaic systems in low-voltage networks

Phase Reconfiguration for Power Distribution Networks with High DERs Penetration

Research on optimizing phase configuration in distribution networks with high renewable energy penetration

Combined PV-EV-HP Hosting Capacity Analysis of a Belgian Low-Voltage Distribution Network

Comprehensive analysis of renewable energy integration limits in residential distribution networks

Competitive Research Grant

University of Liège

€2,300 grant to fund Master's thesis development in Belgium

AI Competition 2nd Place

Achieved 2nd place securing €500 prize among numerous participants

Full Exchange Scholarship

Tongji University

€6,500 scholarship for exchange year at Tongji University, ranking in top 21% of applicants