Foundation for future science
Over the past years, the Digital R&D team has worked on building a foundation for data collection and data sharing across different research departments in Chr. Hansen. This is something many companies find themselves doing, since new innovation relies on the ability to not only generate data, but also to collect and learn from it. The Digital R&D team consists of senior department manager, Camilla Petersen, Lasse Ludvigsen and Marie-Catherine Le Bihan.
The Digital R&D team works closely with the laboratories in Chr. Hansen to find the best solutions for digitalization. The labs generate a lot of data, so the lab technicians and scientists need a simple and automated data collection method that will enable them to use their time more efficiently – actually doing science and not sorting through data. Over the years, this has become a reality in Chr. Hansen, and we continue to improve. Lasse explains his role in this process:
“My overall responsibility is to create a foundation for my colleagues in form of a solid IT infrastructure. I make sure bits and bytes can flow across safely and quickly. Before we can begin to discuss AI, digital twins etc., it requires a solid digital foundation and understanding.”
Digital trends and challenges
AI, machine learning, digital twins and automation are some of the dominating market trends within digital R&D that the team is working on optimizing and incorporating in Chr. Hansen. Common for these trends is the great impact they will have on the science labs. Marie-Catherine elaborates on these effects:
“By interacting with domain experts in R&D, data science is allowing us to unravel the full potential of data: reducing redundancy in experiments, optimizing work processes, easing data consumption, communicating efficiently by mastering data storytelling and performing in silico experiments through predictive models and AI.
To support unleashing the full potential of data, more and more robots find their way into Chr. Hansen’s laboratories, and experiments are scaled down to microliters (one million of a liter), which generates lots of data. This enables them to do thousands of experiments at the same time, increasing the efficiency of data generation.
For such digitalized R&D to work, the team needs a highway for the huge amounts of data to travel from the equipment to the storage and to the advanced analytics setup processing the data. The Digital R&D team provides this highway in form of a LabNet – a centralized storage of data available to all data scientists from the lab or remote enabling them to set up experiments and extract insights from data independent of time and place, ultimately freeing up time to do what they do best.
Another project that the team is currently working on is Scibite, a project about semantic text search that aims to structure otherwise unstructured data to make it readable and fit for machine learning. Through algorithms and access to data, the program is able to generate more accurate results by understanding the searcher’s intent, query context and the relationships between words.
Diversity bridging IT and R&D
The team members have different backgrounds, and this gives each of them a unique view point and understanding of the work they do in Digital R&D. Camilla stresses that what makes her team so great is the ability to use each other’s expert knowledge and competences to better understand and create the right solutions:
“We have different expertise areas covering a wide range of strengths. We are not all focusing on staying on top of everything, which is why we use each other a lot for sparring, and we partner up with other teams to continuously learn more and create the solutions needed.”
The team diversity really helps bridge IT and R&D. With Lasse’s understanding of technology and processes within IT and Marie-Catherine’s extensive knowledge as a data scientist and their collaboration with other R&D functions, the team has an impressive competence catalog, which enables them to have a 360 degree understanding of the digital research and development solutions needed to innovate for a sustainable future.
The future of Digital R&D
When looking to the future, Camilla has no doubt that her team will be expanding. She looks forward to welcoming new, unique talents who can bring their own competencies and knowledge to the team and become part of the continuous process of optimizing data and enabling increasingly scalable science:
“The future within Digital R&D will continue to be full of changes and interesting challenges, and it is all about investing in the ability to change, so we are ready to act on the opportunities tomorrow brings.”
The team will continue to work with automation processes, machine learning, AI and digital twins, and optimization of these, as the Chr. Hansen scientists move along with new innovative processes. The foundation that the team works on will be the ground stone for the continuous digitalization that Chr. Hansen will meet in the future.