PD Dr. Kristian Unger
Deputy Head Research Unit Radiation Cytogenetics“My vision is to better understand and target oncological diseases by analyzing the molecular landscape of tumors and their microenvironment at multiple molecular levels.”
“My vision is to better understand and target oncological diseases by analyzing the molecular landscape of tumors and their microenvironment at multiple molecular levels.”
Academic Career and Research Areas
Kristian Unger is a computational biologist working in translational oncology. He combines biological knowledge with the data science methodology for the design, analysis and interpretation of multi-omics translational oncology studies. He leads the competence field “translational bioinformatics” in the research unit Radiation Cytogenetics (ZYTO) with a focus on regression-based machine learning and deep learning for the generation of prognostic models predicting clinical outcome. Kristian Unger completed his habilitation at the Medical Faculty of the LMU and has a broad and active cooperation network consisting of partners at Munich universities, national and international scientists.
Fields, skills and expertises
translational oncology computational biology head and neck cancer and glioblastoma/brain cancer machine learning cancer biology multi-omics high-performance computing single-cell, spatial and bulk omics
Publications
read more2022 Eur J Cancer
DeepClassPathway: Molecular pathway aware classification using explainable deep learning
2022 Mol Cancer
2022 Lab Invest
2022 Dev Cell
2022 Theranostics
2022 Front Oncol
2022 Radiat Oncol
2022 ACS Chem Biol
Machine Learning Classifies Ferroptosis and Apoptosis Cell Death Modalities with TfR1 Immunostaining