A gallery of the people involved as well as research new from iCOPE, here you find the description of iCOPE employees to identify your collaborators.
Current Activities & Accomplishments: David Gisselsson Nord is a clinician-researcher focused on understanding how cancer cells develop resilience against current ontological treatments. He has identified one of the most common mechanisms by which cancer cells alter their genome through repeated breakage of chromosomes with eroded telomeres. More recently, his team identified four fundamental evolutionary trajectories by which cancer cells compete with each other and evolve towards a higher degree of malignancy. Today David Gisselsson Nord coordinates the Swedish national effort to implement whole genome sequencing to improve diagnostics and treatment of childhood cancers. He divides his time between clinical work as a pediatric pathologist and research. His research combines high-resolution genomics on clinical samples with mathematical modeling and methods from species evolution. By this approach, his team produces detailed maps of how clones replace each other over space and time, with the main purpose to trace the ancestry of metastatic relapse. David Gisselsson Nord received the 2014 Fernström Prize to Promising Young Investigators, the 2017 SIOP Award for Translational and Basic Research and the 2020 Med. Dr. Axel Hirsch Prize in Pathology. Future plans: To find new strategies to prevent and manage relapse in children with cancer. In particular, his team aims to find better ways to sample and genetically analyze tumors for precision cancer medicine. They also aim to find novel treatment concepts for refractory disease based on evolutionary principles. Education and supervisor: David Gisselsson Nord is a clinical specialist in pathology with a background in clinical genetics. He received his PhD under the supervision of professor Nils Mandahl, a pioneering cancer cytogeneticist. Work Experience & Background: David Gisselsson received his pathology education at Lund University Hospital in Sweden with training in fetal pathology at Rigshospitalet in Copenhagen. He has also been a visiting scientist or research fellow at Brigham and Women’s Hospital/Harvard Medical School (2000-2001), the University of Hong Kong (2003), and the Johns Hopkins Medical Institues (2007).
Current Activities & Accomplishments: Rikke L. Nielsen is a joint postdoc in the data disease intelligence (DDI) group at the Technical University of Denmark (DTU) lead by Ramneek Gupta and at the department of Pediatrics and Adolescent Medicine, Rigshospitalet lead by Kjeld Schmiegelow. Rikke’s research interests are on clinical translational bioinformatics. She is experienced using GWAS, machine learning and data integration of genetics and clinical characteristics including both single time point and longitudinal data. iCOPE research projects: • Exploring the germline-somatic continuum in childhood acute lymphoblastic leukemia (ALL). • Machine learning models to guide thiopurine/methotrexate therapy of ALL during maintenance therapy. • Methodology development using polygenic risk scores and machine learning approaches for clinical prediction models. Rikke is participating in the iCOPE leadership programme 2020-2021. Future plans: With a background in computational biology, my current research is focused on developing and applying methodologies to integrate heterogenous types of data, genetics and longitudinal irregular data into machine learning models for prediction of clinical outcomes such as drug and disease response. Supervisors: iCOPE supervisors are Ramneek Gupta (DTU) and Kjeld Schmiegelow (Rigshospitalet). Work Experience, Education & Background: • 2020 – 2023, Joint Postdoc at Department of Health Technology, Technical University of Denmark (50%) and at the Department of Pediatrics and Adolescent Medicine, The University Hospital Rigshospitalet, Copenhagen (50%). • 2016 – 2020, PhD student in bioinformatics. Dual PhD degree Department of Health Technology, Technical University of Denmark and the University of Chinese Academy of Sciences (UCAS). • 2016, Research Assistant, Center for Biological Sequence Analysis, Technical University of Denmark. • 2013 – 2016, MSc Engineering, Biotechnology (Cand.Polyt), Technical University of Denmark. • 2010 – 2013, BSc Engineering, Human Life Science Engineering, Technical University of Denmark.