​Dr Tommi Suvitaival

Reseacher (Assistant Professor Level)

in Systems Medicine, Steno Diabetes Center

Tommi has been working as a researcher in Systems Medicine seen years. Before that he did a PhD in Machine Learning (2015), his expertise in in bioinformatics, biostatistics, information visualization and statistical programming with R. He is a senior data analyst in the team and oversees many projects. He oversees the IT, bioinformatics and data analyses pipelines in the team. See Tommi's publications in ORCID and visit his webpage.

Annette Frost Bjerre

Senior Biomedical Scientist

in Systems Medicine, Steno Diabetes Center

Annete joined the group in 2019 and she is a biomedical scientist with 30-year experience working in industry (Novo Nordisk). She is an expert in many molecular techniques and is currently developing methods for tissue sample preparation. She is also working in automation of sample preparation flows.

Dr Jin Xu

Visiting Senior Scientist, King's College London

Jin finished her PhD in metabolomics in King's College London in 2019. An expert in experimental omics and data science she started a postdoc working in data analyses in a range of projects in collaboration with Petra Proitsi who is also her mentor. She has been the recipient of many prizes like the Young Lipid Scientist by the Society of Chemical Industry for her work in transplantation. She managed both the Q-TOF in the lab in KCL and the running of the lab in KCL before joining a startup doing omics discovery. Publications in ORCID

Dr Karolina Sulek

Senior Reseacher (Associate Professor Level)

in Systems Medicine, Steno Diabetes Center

Karolina did her PhD at the Technical University of Denmark and a post-doc at the University of Auckland. Upon return to Denmark she set up a metabolomics facility at the University of Copenhagen, helping researchers at the NNF Center for Basic Metabolic Research to understand T2D and obesity through metabolomics profiling. Her interest of the omics opened the path to proteomics at NNF Center for Protein Research in the group of Clinical Proteomics led by Matthias Mann. She will apply gained knowledge within the MicrobLiver project and ODINE project a NNF Fellowship granted to her looking at multiomics in neuropathy. Karolina's publications in Google Scholar

Dr Gurjeet Kaur Virk

Postdoc, Steno Diabetes Center

Gurjeet completed her PhD in Clinical plasma proteomics for the identification of Alzheimer's disease biomarkers with the Scientia fellowship at the University of New South Wales, Sydney, Australia. Before joining Steno, she worked at the Garvan Institute of Medical Research, Australia. She is a clinical proteomics expert in targeted and non-targeted acquisition (DIA and DDA) methods. She is applying various plasma proteomics techniques to establish the next-generation proteomics pipeline in order to identify potential biomarkers of diabetes neuropathy. Her project is funded by ODINE study, a NNF award to Dr Sulek's fellowship. Google Scholar:Gurjeet Kaur

Yun Huang

PhD Candidate Visiting Systems Medicine 2022-23, Steno Diabetes Center

Yun is an expert in genetics and data science. She is investigating obesity in children from a genetic and lipids integrative point fo view. Her supervisor is Torben Hansen at the CBMR University of Copenhagen.

Asger Wretlind

PhD Candidate in Systems Medicine, Steno Diabetes Center

Asger did a Masters in biochemistry and a project in industry (Novozymes). After that he joined our team in 2018 and worked in the targeted metabolomics and lipidomics platform. His PhD project looks into individual metabolic response to diabetes treatments and investigate biomarkers that can be used to direct personalized treatment. He oversees the pipeline for lipidomics analyses with CLQ via the QTOF. Publications in ORCID

Dr Shaodong Wei

Postdoc, Steno Diabetes Center

Shaodong is an expert in data science. He did his PhD in the University of Copenhagen and after this worked as a senior data scientist in industry (Shangai, China). His project is funded by ODINE study, a NNF award to Dr Sulek's fellowship.

Visolakhon Ismoilova

PAQC MSc Candidate 22-23 Kings College London

Visola is investigating the best method to measure endocannabinoids molecules. She is extracting quantitative data and applying the FDA absolute quantitation guidelines for 25+ molecules in cerebrospinal fluid. The method will be applied in CSF samples from people with mild cognitive impairment.