I am the principle investigator of the research group. I am also the node manager for the Lund University node in biological mass spectrometry (BioMS), a scientific director for the structural proteomics unit at the SciLifeLabs integrated structural biology (ISB) platform and one of the PI’s in the Lund University sepsis and bacterial resistance alliance (SEBRA). My main research interests are proteomics, systems biology and infectious diseases.  

My research is centered on quantitative proteomics, specifically examining the host-directed response to infections. My particular expertise lies in the hands-on application of mass spectrometry and bioinformatics analysis.

I am an assistant researcher in the IMP environment and use multi-modal mass spectrometry to answer questions related to biomarker discovery, drug repurposing, translational therapies and protein translation reprogramming in sepsis.

I am a senior researcher in the lab studying the interactions between host immunity and bacterial pathogens, with a special focus on B-cell and antibody-mediated immunity, as well as vascular responses. My objective is to elucidate new mechanisms that regulate the balance between how much damage a given pathogen can inflict (virulence) and how much damage a host can tolerate (host tolerance), to uncover new treatments to improve the clinical outcome of infections. 

I am a research associate with a special interest in cancer proteogenomics. My research revolves around the integration of genomic, transcriptomic, and proteomic technologies to define breast cancer signaling networks, cell-wide mutational repercussions, and definition of cancer-unique features to design new prognostic biomarkers and alternative therapies for clinical use. 

Senior Molecular Matchmaker Researcher: Leveraging Mass Spectrometry & AI for Antibody Innovation. Also coffee lover.

My research involves host-pathogen interactions, with a focus on biofilm-derived bacteria associated with colonization or infection and how these bacterial populations modulate innate immune cell function. I enjoy collaborative work and value the learning opportunities that come from diverse perspectives. 

I am a PhD student working on developing computational methods for the analysis of mass spectrometry data, mainly through algorithmic development and applied machine learning methods. In my research, I apply these methods to learn more about the molecular mechanisms of sepsis and to try and uncover biological signal in large scale proteomics experiments. 

I am a PhD student in the lab, interested in studying uncharacterised host-pathogen interactions, protective antibody properties, and novel vaccine design through functional proteomics and modelling. Always open to multidisciplinary collaborations.

I am a PhD student focused on developing computational workflows for characterizing the antibody–antigen interface between pathogenic bacteria and their host.

I am a PhD candidate, with a background in engineering. 

I’m a PhD student working on how to use computational methods to gain insight into complex biological systems.  My main interest lies in computational modelling, explainable AI and generative AI.

I am a PhD candidate developing novel active immunotherapies for cancer. My research integrates structural mass spectrometry, immunopeptidomics, vaccine modality design, oncology, and immunology. The current stage of the project aims to expand the mass-spectrometry toolbox for profiling polyclonal immune responses and to establish new MS-based methods for T cell epitope identification.

I am a PhD student working to advance precision medicine approaches in sepsis by integrating quantitative proteomics, cellular metabolism and immunological insights. My current research aims to identify existing drugs with repurposing potential by characterizing their proteome wide effects.