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 finished her Master of Science in Engineering - Chemical Biology from Linköping University in 2024, with a finishing thesis in Bioinformatics. During her studies she spent a great deal of time working as a teaching assistant in programming, and as a research assistant in the D3MS group. She is now excited to utilise her experiences as a doctoral student in the group, where she hopes to further her knowledge in everything machine learning and structural biology related.

Alexander received his Bachelor’s degree in Molecular Biology and his Master’s degree from the Graz University of Technology, where he specialized in structural bioinformatics. Being interested in computers and programming, he worked as a scientific software developer and gained experience with building and maintaining scientific software platforms. Recently, he decided to dive into structural bioinformatics and is now pursuing a Ph.D. investigating the diversity of protein states using deep learning as part of the Data Driven Life Science (DDLS) program. Alexander is jointly supervised by Björn Wallner and Nicholas Pearce.