Team

Published

2026

Current

  • Leon Eyrich Jessen, Head of Lab, Associate Professor (tenured), PhD., MSc. (Eng)
  • Sol Escamilla Torres, Special Course student: “Mapping of Linear Antibody Epitopes Using High-Density Peptide Arrays in Neuroimmunology” (February 2nd 2026 → May 11th 2026) in collaboration with Bispebjerg Hospital Neurological Dept.
  • Konstantina Gkopi, Special Course student: “Inference of T-Cell Receptor Repertoires from Asthma-Related Transcriptomic Data” (February 2nd 2026 → May 20th 2026)
  • Marcel Skumantz, Special Course student: “Computational Drug Discovery and AI-Assisted Molecular Design” (February 1st 2026 → June 30th 2026) in Collaboration with DTU BRIGHT and Swaza Life Inc.

Alumni

Funded Projects

  • Sol Escamilla Torres Research Assistant: “Unravelling immunological mechanisms of unexplained graft rejection by in silico HLA epitope matching in solid organ transplantation” (April 1st 2026 → June 30th 2026)
  • Melanie Randahl Nielsen Research Assistant: “Integrative Single-Cell Analysis for Exploring Autoimmune Disease Mechanisms” (09/2023 → 09/2024)
  • Clara Drachmann PhD student: “Integrative Single-Cell Analysis for Exploring Autoimmune Disease Mechanisms” (03/2022 → 07/2023)
  • Alessandro Montemurro PhD student: “Improved Immunoinformatic Methods for Rationale T Cell Epitope Discovery” (10/2019 → 01/2023)
  • Helle Rus Povlsen PhD student: “Development of Immunoinformatics prediction methods for improved rational identification of T cell epitopes” (04/2019 → 12/2022)
  • Anna Lisa Schaap-Johansen PhD student: “Deep Learning methods for Immunotherapy” (12/2018 → 01/2023)

Student Projects

  • Golnaz Rezaee, Erasmus+ Research Intern: “Towards ML-Driven Explainable Mapping of T-Cell Receptor Repertoire Signatures in Autoimmune Disease Phenotypes” (October 1st 2025 → March 1st, 2026)
  • William Hagedorn-Rasmussen, Master Thesis student: “Machine Learning-Driven Deconvolution of Superantigen-TCR Interactions in Atopic Dermatitis Using Single-Cell TCRomics” (August 25th 2025 → January 25th 2026) in collaboration with LEO Foundation Skin Immunology Research Center
  • Amanda Jimenez, Master Thesis student: “Inferring Functional Gene Networks from Giga-Scale Single-Cell Perturbation Data” (August 25th 2025 → January 25th 2026) in collaboration with Novo Nordisk A/S
  • Sofie Bruun, Master Thesis student: “Investigating the Impact of DNA Damage on Ribosomal DNA Variation” (September 3rd 2025 → February 18th 2026) in Collaboration with The Danish Cancer Society
  • John Vinh Quang Tran, Master Thesis student: “Identification of important features for capsular contracture using machine learning and network analysis” (September 1st, 2025 → February 1st, 2026) in Collaboration with UCPH Skin Immunology Research Center
  • Jakob Sandfort Ytte, Bachelor Thesis student: “Graph-Guided PCA Compression for Interpretable Modeling of Childhood Asthma from RNA-seq Data” (September 1st 2025 → December 7th, 2025)
  • Amalie Schultz-Nielsen, Special Course student: “Identification and analysis of T-Cell Receptor Data in Atopic Dermatitis” (February 3, 2025 → May 12, 2025) in collaboration with LEO Foundation Skin Immunology Research Center
  • Emilie Sophie Ragnhild Sonne, Bachelor Thesis student: “Comparative Analysis of Methods for Clustering of T-cell Receptors” (September 2, 2024 → December 20, 2024)
  • Huiyu Xie, Master Thesis student: “Applications of Probabilistic Modelling for Profiling Human T-cell Repertoires in Cancer” in collaboration with Department of Molecular Medicine (MOMA), AUH (August 26, 2024 → January 26, 2025)
  • Oscar Lauritz Møberg, Master Thesis student: “Towards Precision Immuno-profiles using Graph Neural Networks for Modelling single cell RNAseq-data” (August 26, 2024 → January 26, 2025) in collaboration with DTU Compute
  • Huiyu Xie, Special Course student: “Applications of profile Hidden Markov Models for Automated Data Driven QC of T-cell Receptor Sequence Data” (June 6, 2024 → August 23, 2024)
  • Jonathan Dragestad Møller, Special Course student: “Multi-modal analysis of isoforms in cancer” (February 1, 2024 → June 14, 2024)
  • William Hagedorn-Rasmussen, Special Course student: “Applied Biostatistics with Tidy Modelling” (January 29, 2024 → May 31, 2024)
  • Ana Pastor Mediavilla, Special Course student: “Multi-modal analysis of isoforms in cancer” (January 29, 2024 → May 19, 2024)
  • Cathrine Lind, Special Course student: “Connecting non-data Literate Stakeholders to Data using R and Shiny: A case study using Cardio Vascular Disease” (September 18, 2023 → November 6, 2023)
  • Bernat Godayol Farran, Master Thesis student: “Sub-gene level re-analysis of proteomics data” (August 28, 2023 → February 28, 2024)
  • Mikkel Swartz, Master Thesis student: “Sub-gene level re-analysis of proteomics data” (August 28, 2023 → January 28, 2024)
  • Signe Marcussen, Special Course student: “Characterisation of T-cell Receptors of Malignant T-cells in Cutaneous T-cell Lymphoma” (August 28, 2023 → December 14, 2023) in collaboration with LEO Foundation Skin Immunology Research Center
  • Mathias Nørgaard Stokholm, Master Thesis student: “Integration of longitudinal single-cell RNAseq datasets into a comprehensive reference map to allow automatic annotation of cells generated in stem cell to beta cell protocols.” (August 7, 2023 → February 7, 2024) in collaboration with Novo Nordisk A/S
  • Angeliki Kallia Spentza, Special Course student: “Comparative Analysis of Single Cell- and Bulk RNAseq Sequencing Data” (February 24, 2023 → June 22, 2023)
  • Sarah Rosenberg Asmussen, Special Course student: “Using Deep Generative Neural Networks to Model the T-cell Receptor Repertoire” (January 30, 2023 → May 26, 2023) in collaboration with Evaxion Biotech A/S
  • Mathias Grøn Therp, Special Course student: “Mapping Chemicals to Adverse Outcome Pathways” (January 30, 2023 → May 9, 2023) in collaboration with Novo Nordisk Foundation Center for Protein Research
  • Aldis Helga Björgvinsdóttir, Master Thesis student: “Exploratory Study of Metabolomics and Kidney Function in the UK Biobank Population: Insights from Type 2 Diabetes Stratification” (January 23, 2023 → June 23, 2023) in collaboration with Steno Diabetes Center Copenhagen
  • Melanie Randahl Nielsen, Master Thesis student: “Machine Learning-Driven Diagnostics for Psoriatic Arthritis Based on Single-Cell Transcriptomics Data” (January 2, 2023 → June 2, 2023)
  • Casper Rasmussen, Master Thesis student: “Use of L1000 Expression Data to Elucidate Biological Mechanisms” (January 2, 2023 → January 17, 2024) in collaboration with Novo Nordisk A/S
  • Daniel Caleb Romero Yianni, Special Course student: “Decoding Metabolic Disease using Single-Cell Technologies, Genomics and Data Science” (September 15, 2022 → February 15, 2023) in collaboration with Novo Nordisk Foundation Center for Basic Metabolic Research
  • William Hagedorn-Rasmussen, Bachelor Thesis student: “Exploring CD8+ T-cell Specificities using Single Cell Immune Profiling with an Outlook to Reproducible Bio Data Science” (August 29, 2022 → January 13, 2023)
  • Alban Laus Obel Slabowska, Master Thesis student: “Single-cell deconvolution for spatial-transcriptomics data to extrapollate cell-types on Visium Spatial Gene Expression 10x Genomics technology images” (August 22, 2022 → January 22, 2023) in collaboration with Novo Nordisk A/S
  • Dominik Rafacz, Special Course student: “Design and Implementation of Automated Immuno-Sequence Redundancy Handling to Improve Input to Machine Learning Models” (January 31, 2022 → May 9, 2022) in collaboration with Medical University of Bialystok
  • Esben Vestergaard Øyan, Special Course student: “Applications of Graph Theory in Immuno Research” (January 3, 2022 → January 21, 2022)
  • Christian Holm Johansen, Special Course student: “Antibody sequence analysis” (August 30, 2021 → December 31, 2021) in collaboration with Novo Nordisk A/S
  • Jacob Korslund Schlander, Bachelor Thesis student: “Exploration of Applications of Graph Theory for Exploring Molecular Level Immunity” (August 30, 2021 → December 3, 2021)
  • Signe Marcussen, Bachelor Thesis student: “Application of Machine Learning for mapping TCR::pMHC Specificities using High Throughput Single Cell Immune Profiling Data” (August 30, 2021 → December 3, 2021)
  • Lucille Augusta Green, Bachelor Thesis student: “Application of Machine Learning for mapping TCR::pMHC Specificities using High Throughput Single Cell Immune Profiling Data” (August 30, 2021 → December 3, 2021)
  • Frederik Steensgaard Gade, Special Course student: “Scientific Writing: Paper on the CrediSite Method” (August 30, 2021 → December 3, 2021)
  • Andreea Teodora Bejenariu, Bachelor Thesis student: “Exploration of TCR::pMHC Specificities using High Throughput Single Cell Immune Profiling Data” (February 1, 2021 → July 15, 2021)
  • Frederik Steensgaard Gade, Bachelor Thesis student: “Bayesian Inference of Amino Acid Level Geno-/Phenotype Correlation in Protein Multiple Sequence Alignments” (February 1, 2021 → June 24, 2021)
  • Sule Altintas, Special Course student: “Post-GWAS Analysis of IL6 Levels” (January 4, 2021 → January 24, 2021) in collaboration with Steno Diabetes Center Copenhagen
  • Laia Meseguer Monfort, Master Thesis student: “Post-GWAS Analysis on Atrial Fibrillation Patients” (August 24, 2020 → January 24, 2021) in collaboration with Department of Biomedical Sciences, UCPH
  • Cecilie Agerlin Møller, Master Thesis student: “Development of a QSAR model related to endocrine disruption” (August 24, 2020 → January 24, 2021) in collaboration with DTU National Food Institute
  • Frederik Steensgaard Gade, Special Course student: “Bioinformatics of amino acid level geno-/phenotype correlation” (August 3, 2020 → August 21, 2020)
  • Maarten Marijn van Elst, Special Course student: “Exploring Receptor Sequence Diversity of CD4+/CD8+ T-cells” (February 3, 2020 → May 12, 2020)
  • Clara Drachmann, Special Course student: “Scientific Article Writing: Paper on the NetMHCcons method” (December 6, 2019 → December 6, 2019)
  • Cecilia Bang Jensen, Master Thesis student: “Designing a clinical bioinformatics framework for molecular characterization of glioblastoma multiforme” (November 4, 2019 → April 4, 2020)
  • Clara Drachmann, Bachelor Thesis student: “The Development of a Consensus Method for Improved Prediction of MHC-I Peptide Binding and Antigen Presentation” (February 4, 2019 → June 14, 2019)
  • Søren Steenstrup Zeeberg, Bachelor Thesis student: “Dimensionality Reduction Techniques in Malaria Immunology and Pathogenesis Research” (February 4, 2019 → June 14, 2019)
  • Sebastian Nymann Deleuran, Bachelor Thesis student: “Integration of RNASeq Expression Data for Improved Prediction of MHC Class I Antigen Presentation” (February 4, 2019 → June 3, 2019)
  • Jakob Hartvig Stiesmark, Bachelor Thesis student: “Large-scale in silico Screening of MHC class II Mediated Immunogenicity of Aero Allergens” (February 4, 2019 → June 3, 2019) in collaboration with COPSAC