Postdoctoral Research Fellow: Arvind Singh MerGoogle Scholar
Dr. Mer completed his PhD at the Max Delbrück Center for Molecular Medicine and the Free University in Berlin, Germany in the field of bioinformatics and machine learning. His research focused on developing machine learning algorithms for the prediction of protein subcellular localization. After his PhD, Arvind joined the Karolinska Institute, Stockholm as a postdoctoral fellow. During his time at the Karolinska Institute Arvind worked on breast cancer and acute myeloid leukemia patient genomic and clinical data analysis using machine learning methods. In his research work, he analyzed sample size and sequencing requirements for clinical implementation of sequencing based molecular subtyping of breast cancer patients. Combining his previous experiences in machine learning and cancer genomics, Dr. Mer's current work is focused on the prediction of molecular markers for therapeutic resistance in breast cancer.