Curriculum Vitae

🎓 Education

• PhD in Chemical Engineering Technology, 2023
    KU Leuven, Belgium
    Thesis title: Application of AI for complex separation systems
• Masters’ degree in Chemical Engineering, 2017
    University of Naples “Federico II”, Italy
    Thesis title: CO/H₂ production by thermochemical splitting over novel transition oxides catalysts
• Bachelors’ degree in Chemical Engineering, 2015
    University of Naples “Federico II”, Italy
    Thesis title: Microfluidic for chemical reactions

⚙️ Work experience

• Jan 2026 - Present: MSCA Postdoctoral fellow
  • TU Delft - Process Intelligence Research Group
  • Automatic process flow diagrams generation through context-aware reinforcement learning techniques.
• Oct 2025 - Dec 2025: FWO Postdoctoral fellow
  • KU Leuven - Chemical and Biochemical Reactor Engineering and Safety group
  • Design and application of physics-informed generative AI techniques for in-silico green mixture design.
• Mar 2025 - June 2025: Visiting researcher
  • University of Manchester - Chemical Engineering Department
  • Application of bayesian optimisation techniques for automatic hybrid model generation in data-scarce scenarios.
• Nov 2023 - Sept 2025: Postdoctoral Researcher
  • KU Leuven - Centre for Industrial Process Technology
  • Application of hybrid modelling techniques to process system engineering and thermodynamics.
• Dec 2019 - Oct 2023: PhD Researcher
  • KU Leuven - Centre for Industrial Process Technology
  • Supervisor: Prof. M.E. Leblebici
• Nov 2019 - Nov 2019: Business System Analyst
  • Baxter International
  • Duties included: Create and manage informatic solutions for data integrity and for lab equipment management. Design and implement artificial intelligence to improve the scientist work and ensure the data integrity for R&D.
  • Supervisor: F. Alfeo
• Sep 2018 - Oct 2018: Researcher
  • Procter & Gamble - Brussels Innovation Center
  • Duties included: I developed models to predict the filling failure condition for product with different formulation using advanced statistical methods. I designed a cloud-based software able to predict the filling flowrate for a product for different bottle sizes and various temperatures, using such models.
  • Supervisor: M. Yattara
• Feb 2018 - Aug 2018: Traineeship (Erasmus +)
  • Procter & Gamble - Brussels Innovation Center
  • Duties included: Developing models to understand and predict the failure mechanism during the filling, also using simulating techniques. Improving the efficiency of filling processes.
  • Supervisor: M. Yattara
• May 2017 - Dec 2017: Research Intern
  • University of Naples “Federico II”
  • Duties included: Design and execution of experiments, Data analysis, Thermogravimetric analysis, FTIR
  • Supervisor: Prof. A. Di Benedetto and Prof. G. Luciani

💬 Language skills

• Italian: Mother tongue
• English: Proficient