Group Members

Nick obtained his undergraduate degree in Physics from the University of Oxford in 2012, and then his PhD in Systems Approaches to Biomedical Sciences in 2016. He moved to Utrecht in the Netherlands in 2017 to work with Piet Gros, where he obtained an EMBO long-term fellowship and worked on analysing disorder in macromolecular structures. He then obtained a Veni Fellowship and moved to the Free University of Amsterdam to work with Tom Grossmann on modelling heterogeneity in macromolecular data. He is now a SciLifeLab DDLS Fellow at Linköping University in Sweden, and he is interested in all things disordered.

Lena obtained her undergraduate degree in Biomedicine from Umea University 2017. She then worked on her PhD in Biochemistry in the group of Ronnie Berntsson at the same university between 2017-2022. Since she was the first PhD student in the Berntsson lab, she was part of setting up several methods for the group. Lena was also teaching during her PhD and has been the chair of one of the PhD councils at Umea University. She burns for scientific outreach and has both made a video pitch and been part of the European Researchers’ Night. Lena is now a Postdoc in the Data-Driven Determination of Macromolecular Structures (D3MS) group, where she is excited to take a dive into the dynamic world of macromolecules.

Ying, also known as Kelly, earned her first Master’s degree in Computer Science from Royal Melbourne Institute of Technology in 2012, and her second Master’s degree in Statistics and Machine Learning from Linköping University in 2022. With extensive experience as a web programmer, she has developed a deep passion for programming and a strong curiosity for uncovering insights from data. Ying is now a doctoral student in the Data-Driven Determination of Macromolecular Structures (D3MS) group, and everything about biology makes her feel fresh and excited.

Nic earned his Bachelor’s degree in Biochemistry from the University of Toledo in 2016. After graduating he worked in the lab of Timothy Mueser. He then ventured to Seattle, where he immersed himself in the world of crystallography at UCB Pharma and contributed to the Structural Genomics Consortium SSGCID. While there, he earned a Master’s degree in Bioinformatics from the University of Maryland in 2021. Today, as a doctoral student, Nicholas is fueled by a profound passion for harnessing modern computational and machine learning techniques to further our understanding in structural biology.

Ylva is in her final year of engineering studies at Linköping University, pursuing a Master’s in Chemical Biology with a particular focus on Computer Science and Statistics/Machine Learning. While studying, she has accumulated several years of experience as a teaching assistant in programming, where she found great delight in both teaching and learning about coding. Ylva loves problem-solving, particularly when she can use and develop computational tools for the job, and is happy to combine this with everything macromolecular as a Research Assistant in the Data-Driven Determination of Macromolecular Structures (D3MS) group.