I am a PhD researcher at KU Leuven, working in the MeBioS Postharvest group led by Prof. Bart Nicolai.
My research is at the intersection of postharvest technology, food engineering, advanced predictive modelling, and applied data science to improve the sustainability of the food cold chain.
I focus on building a digital twin of a commercial cold storage system for pear fruit — a virtual replica of the physical system that
enables smarter control, more accurate prediction, and systematic optimisation of both fruit quality and storage operations.
This work is part of the ENOUGH Project (H2020 EU), a European initiative driving sustainable innovation across the food sector.
My Background
Driven by a passion for advancing sustainable food systems, I pursued a joint Master’s in Food Technology (Magna cum laude) at KU Leuven and Ghent University, Belgium.
My master’s thesis bridged AI and postharvest science — applying deep learning and X-ray CT imaging
to develop a non-destructive sorting technology for pears affected by internal browning disorder, translating advanced AI techniques into practical postharvest sorting solutions. Earlier, my foundation
in food science was built at the University of Technology (HCMUT-VNU), Vietnam, where I earned a B.Eng in Food Technology (First Class Honours). There, I developed core engineering competencies
in process design, quality management, and food systems.
Beyond academic research, I worked as a Chemical Engineer in the food industry, leading technology transfer & CapEx projects across multiple production lines. This industry chapter gave me a
perspective that runs from bench scale all the way to the factory floor, and a deep appreciation for what it takes to make innovation work in practice.
Outside of the professional world, I enjoy reading, watching anime, learning new things, and exploring culinary cultures around the world. My favourite Vietnamese dish is
Bún Bò Huế — a bold, spicy noodle soup from Central Vietnam that I highly recommend.
More broadly, noodles in all their forms are close to my heart. I also like staying active on the badminton court.
Research & Expertise
- Digital twins & predictive modelling — food systems monitoring, quality prediction, and operational optimisation.
- Postharvest technology & cold chain — cold storage, fruit quality management, shelf life extension, and energy efficiency.
- Food processing & engineering — process design, optimisation, and technology transfer.
- Applied data science & AI — machine learning, deep learning, statistical modelling, and uncertainty quantification.
What Drives Me
I believe the most meaningful progress in (agri)-food systems comes from bridging rigorous science with practical engineering. Whether through research, consultancy, or hands-on engineering, my goal is
to help build systems that are smarter, more efficient, and more sustainable — from the storage room to the supply chain.
If you are working on challenges at the intersection of food, technology, and sustainability, I would love to connect.
