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Arian Lundberg is an Assistant Professor at KTH Royal Institute of Technology specializing in medical translational cancer bioinformatics. His research focuses on inflammation-driven tumor evolution, immune–metabolic rewiring, lineage plasticity in metastatic prostate cancer, breast cancer, and Head and Neck cancers. Lundberg's work integrates multi-omics approaches with machine learning and AI-driven mechanistic modeling to uncover the inflammatory microenvironmental signals that drive tumor progression and therapy resistance. He holds a PhD from Karolinska Institute, where he concentrated on transcriptomic biomarkers for therapy stratification in breast cancer, and has completed postdoctoral training at Stanford University and the University of California, San Francisco, as well as at the Institute of Cancer Research/Royal Marsden Hospital, focusing on immune-responsive cancers and translational prostate cancer genomics. His notable contributions include the SU2C WCDT and the creation of a comprehensive multi-omics cohort of metastatic prostate cancer. Lundberg was awarded the Knut and Alice Wallenberg Data-Driven Life Science Fellowship for his work in Precision Medicine Diagnostics, which allows him to launch an independent research program at KTH. The mission of the Lundberg Lab is to uncover inflammatory and immune–metabolic signals that reshape tumor evolution in advanced prostate cancer using multi-omics and advanced AI/ML models grounded in clinical data. Research interests include inflammation-driven plasticity in metastatic prostate cancer, developing robust predictive models for survival and treatment response, mapping inflammatory metabolic cues that affect cell state trajectories, and investigating the microbiome–tumor–immune crosstalk.
KTH Royal Institute of Technology • Stockholm
Leading an independent research program focused on advanced prostate cancer.
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