About Informatics

The Informatics Unit applies cutting edge technology to support cutting edge science. The unit consists of a multi-disciplinary team with diverse specialties in software, computational biology and data engineering. The team is geographically dispersed between the University of California San Diego (UCSD) and Technical University of Denmark (DTU).

Our mission is to develop systems that turn big data into contextualized knowledge. With these systems, we can establish deep insights for humans and machines, augmenting their ability in solving some of our world’s greatest challenges for a healthier and sustainable future.

A global team to solve global problems


Informatics UCSD DTU

Supporting a research group of over 300 scientists from University of California, San Diego (UCSD) and Technical University of Denmark (DTU), the Informatics Unit is leading a digital transformation utilising the combined power of software engineering, computational biology, and data engineering, with FAIR data principles as a fundamental enabler.


FAIR data principles are a set of guiding principles to make data findable, accessible, interoperable and reusable. They are an important pre-requisite for being able to derive the maximum value from research data for humans and machines.


Our goal is to make FAIR an integral part of our culture making sure that we can generate the maximum return on our research investment.


From big data to smart data with AI

The unit has established an Integrated Informatics Platform that supports the entire data value chain - from data, to information, to knowledge, to wisdom. Since true wisdom can only be achieved with an efficient integration of prior knowledge, we have made knowledge management an integral part of our platform.


Knowledge is the output of our research and the input to our research. It is, therefore, essential that we manage it well and give it special attention. While a lot of tools have been developed for data analytics, the management of knowledge is typically less sophisticated and established. Knowledge is mostly shared in an unstructured format, making it difficult for humans and computers to consume, understand quickly and integrate with prior work. We have thus developed a software product called Lifelike that aims to solve this problem with machine learning, natural language processing and knowledge graphs, allowing researchers and machines to work together efficiently. The goal is to equip researchers with the most complete knowledge, available at their fingertips, and to provide machines with the ability to incorporate prior knowledge into algorithms, bringing machine intelligence closer to human intelligence.


An intelligent infrastructure

The Integrated Informatics Platform includes a suite of integrated software modules, a combination of off-the shelf and custom developed systems, supporting laboratory data management, computational modeling, data analytics and knowledge management. The underlying system infrastructure incorporates a multi-cloud environment, various database types, data lakes, a centralised data warehouse and an enterprise knowledge graph.


With an infrastructure similar to a digital mind and a suite of tools that incorporate analysis techniques from black box artificial intelligence (AI) to white box mechanistic modeling, we have a solid foundation for the development of a cognitive analytics platform.



Lea Mette Madsen Sommer
Research Data Manager
DTU Biosustain
+45 93 51 89 95