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ONDERZOEK IN DE KIJKER<br />

INDUSTRY OR ACADEMIA?<br />

THE ANSWER IS BOTH<br />

Every year, Flanders Innovation & Entrepreneurship (VLAIO- Vlaams<br />

Agentschap Innoveren en Ondernemen) provides funding for doctoral and postdoctoral<br />

research in close collaboration with a Flemish company. In 2019, thirty<br />

Baekeland-mandates (PhD) were submitted in collaboration with an academic<br />

promotor from KU Leuven. Nineteen projects were approved amounting to a<br />

success rate of 63%. We caught up with André Carlos Munoz Lopez (Ghent<br />

Technology Campus), current Baekeland mandate –holder.<br />

Could you introduce your research project?<br />

After an initial pre-doctoral phase at the KU Leuven research<br />

group, BioTeC+, I am now in my second year of PhD supported<br />

by a Baekeland mandate from VLAIO. The project plan was<br />

developed during that pre-doctoral phase and successfully<br />

defended in front of a mixed academia-industry jury. The scope<br />

of my research falls within the framework of Industry 4.0. It aims<br />

at developing novel methods for data-driven modelling, control,<br />

and optimization of chemical production processes. I use data that<br />

is continuously generated at the production sites of Janssen<br />

Pharmaceutica (Johnson & Johnson) to construct mathematical<br />

models for a better understanding, controlling and optimizing their<br />

processes. My PhD research contributes to a more efficient<br />

production of medicines to meet the volumes required for the<br />

patients but also, and more importantly, to the quality standards<br />

of those medicines.<br />

What was your motivation to collaborate with a company?<br />

As a student finishing my studies in chemical engineering, I was<br />

intrigued by science and research. Having the opportunity to<br />

contribute to novel ideas and developments to the understanding<br />

of a given phenomenon, and building new possibilities to exploit<br />

that understanding to improve human life, is something that<br />

attracts many young students. But as a rather practical person,<br />

with a strong feeling for engineering, I was also aware that<br />

transformations do not occur from one moment to the next by<br />

themselves. Someone needs to put the effort in bringing powerful<br />

ideas and technologies to practice in order to demonstrate their<br />

benefits and limitations in the real world. I am quite sure that<br />

many others before and after me, had and will face the same<br />

question: Industry or Academia? Well, with this Baekeland<br />

mandate, the answer is both.<br />

Which type of work do you perform at which location?<br />

What I love about the Baekeland formula is that, today, I share an<br />

office with my colleagues from KU Leuven –BioTeC+: an<br />

internationally recognized research group at Ghent Technology<br />

Campus, founded by Professor Jan Van Impe and with over 25<br />

years of research experience in model-based design, monitoring,<br />

optimization, and control of (bio)chemical conversion processes.<br />

Tomorrow, I will sit at my desk at Janssen Pharmaceutica, the<br />

largest pharmaceutical company in Belgium. With my colleagues at<br />

the university, I have the opportunity to discuss fundamental topics<br />

related to process modelling, monitoring and optimisation, while<br />

with my colleagues from industry I contribute to the continuous<br />

improvement of production processes to bring medicines to the<br />

patients.<br />

What will be the tangible outcomes from your research?<br />

Towards the end of my PhD, my goal is to have developed novel<br />

and broadly applicable approaches for data-driven modelling of<br />

(bio) chemical production processes. These will have been validated<br />

directly on the production of medicines and will have resulted in<br />

significant improvements that guarantee meeting the stringent<br />

quality standards. Meanwhile, I have already obtained significant<br />

progress in this direction. For example, I have developed a new<br />

method to train tensor-based models that result in more informative<br />

models that allow a more robust identification and factorization of<br />

the system variability. The more interpretable data-driven models<br />

help engineers to identify the root cause for deviations, monitor the<br />

processes and offers the opportunity for continuous improvement<br />

of these processes. The application of this methodology to a largescale<br />

spray-drying unit used in the commercial production of an<br />

Active Pharmaceutical Ingredient has resulted in a benefit to<br />

Janssen Pharmaceutical in fault identification and quality prediction.<br />

Similar applications in other production lines are currently ongoing,<br />

with objectives such as process optimisation and real time release.<br />

Iason Passaris<br />

www.vlaio.be/nl/subsidies-financiering/<br />

baekeland-mandaten<br />

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