Day 1 — 12 March 2026

Time Activity Speakers/chairs
09:00–09:45 Registration with coffee and fika  
09:45–10:15 Opening remarks  
10:15–11:30 Session 1: Metagenomics & Microbiome Tânia Carneiro Peniche, Biel Garcias Puigserver
Keynote 10:15-10:40 “The microbiota-gut-brain axis in epilepsy” Stefanie Prast-Nielsen (Karolinska Institute)
Keynote Gothenburg 10:40-11:05 “The making of a pathogen” Astrid von Mentzer (University of Gothenburg)
11:05-11:17 T01 “Regulation of a tripartite Toxin Antitoxin system in the honeybee intestinal bacteria Apilactobacillus kunkeei” Héléna Vassilieff (Uppsala University)
11:18-11:30 T02 “STRIKE-T2D: Strain-level Interpretation of Key Effectors in Type 2 Diabetes” Chuqing Sun (University of Gothenburg)
11:30–12:00 Break  
12:00–13:15 Session 2: Translational Research Linnéa Ögren, Markus Lindberg
Keynote 12:00–12:25 “Accelerating rare disease diagnostics through multidisciplinary collaboration” Ann Nordgren (Karolinska Institute and University of Gothenburg)
Keynote Gothenburg 12:25–12:50 “Genomic insights into small intestine neuroendocrine tumours” Erik Larsson Lekholm (University of Gothenburg)
12:50-13:02 T03 “Plasma Protein Biomarkers of Treatment-Induced Brain Injury in Children with Primary Brain Tumors” Dea Gogishvili (Uppsala University)
13:03-13:15 T04 “Deciphering Heterogeneity in Acute Myeloid Leukemia to Understand the Mechanisms of Disease Progression and Immune Interactions Using Single-Cell RNA-Sequencing” Sadiksha Adhikari (University of Helsinki)
13:15-14:15 Lunch Break  
14:15–15:30 Session 3: Single-cell Technologies Hana Komic, Alice Schiller
Keynote 14:15-14:40 “The dawn of clinical spatial technologies” Joakim Lundeberg (KTH Royal Institute of Technology)
Keynote Gothenburg 14:40-15:05 “Integrative single-cell approaches in diabetes” Joan Camunas (University of Gothenburg)
15:05-15:17 T05 “NOX2-driven macrophage reprogramming enhances breast cancer metastasis” Mustafa Kaya (University of Gothenburg)
15:18-15:30 DDLS - Approaching the Halfway Mark Margit Mahlapuu (DDLS Cell & Molecular Biology Research Area Lead, University of Gothenburg)
15:30–16:00 Group photo and break with fika  
16:00–17:30 Poster session  
17:30–22:00 Mingle dinner and social event  

Day 2 — 13 March 2026

Time Activity Speakers/chairs
08:30–09:00 Welcome coffee  
09:00–11:15 Parallel workshops  
  Academic writing
(Antarktis room)
Richard La Bontee (University of Gothenburg)
  Visualising science
(Europa room)
Emilia Ståhlbom (Sectra)
  Data management
(Wallenbergsalen)
Maria Thorson (University of Gothenburg)
  Bacterial Genomics
(Sydamerika room)
Kaisa Thorell (University of Gothenburg)
11:15–11:45 Break with fika  
11:45–13:00 Session 4: Multi-omics data integration Adam Dziulko, Klara Esbo
Keynote 11:45–12:10 “Advancing multi-omics data integration through tool development” Ana Conesa (CSIC)
Keynote Gothenburg 12:10–12:35 “Integrative Multi-Omics Frameworks for Understanding the Molecular Mechanism of Cardiometabolic Disease Progression” Muhammad Arif (University of Gothenburg)
12:35-12:47 T06 “A bimodal framework for reliable and accessible acute leukemia machine learning classification using gene expression and DNA methylation data” Mariya Lysenkova Wiklander (Uppsala University)
12:48-13:00 T07 “Sex chromosomes from raw data, and the tools to get you there” Nikos Tsardakas Renhuldt (Lund University)
13:00–14:00 Lunch  
14:00–15:15 Session 5: Cancer Genomics Tobias Österlund, Danel Olaverri Mendizabal
Keynote 14:00-14:25 “A multi-omics approach for dissecting pathogenic and drug resistance mechanisms in hematological malignancies” Caroline Heckman (University of Helsinki)
Keynote Gothenburg 14:25-14:50 “Clonal hematopoiesis - a precursor for hematological malignancies” Abhishek Niroula (University of Gothenburg)
14:50-15:02 T08 “TrackTx: Statistical Mapping of Functional Genomic Landscapes Through Divergent Transcription Analysis” Serhat Aktay (KTH Royal Institute of Technology)
15:03-15:15 T09 ”Read-Level Methylation Analysis of cfDNA Using Targeted EM-seq for CNS Tumor Classification” Ryan SY Kwan (University of Gothenburg)
15:15–15:45 Break with fika  
15:45–17:00 Session 6: Machine Learning and AI Alan Bäckerholm, Kerryn Elliott
Keynote 15:45–16:10 “AI and machine learning for aging and neurodegenerative disease” Jacob Vogel (Lund University)
Keynote Gothenburg 16:10–16:35 “When Models Spill Secrets: Auditing Data Leakage” Fazeleh Hoseini (AI Sweden)
16:35-16:47 T10 “Leveraging mass spectrometry data for predicting chemical persistence and mobility” Yingxiao Yan (Stockholm University)
16:48-17:00 T11 “Bringing Self-Explaining Neural Networks to Genomics: A Study on RNA Secondary Structure Type Prediction” Andrea Salinetti (KTH)
17:00–17:15 Poster prizes and closing remarks