Prof. Dr. Roland Schwarz
Prof. Dr. Roland Schwarz
Fellow
Fellow | BIFOLD
Principle Investigator | Professor for Computational Cancer Biology, Center for Integrative Oncology (CIO), Cancer Research Center
Cologne Essen (CCCE), University of Cologne, Germany
| 2016 | Prize of the Berlin Brandenburg Academy of Science for Cancer Research |
| 2010 – 2016 | Junior Research Fellowship, Wolfson College, University of Cambridge |
| 2013 | Finalist EMBL Outstanding Postdoc Award |
- Cancer Genomics
- Regulatory Genomics
- Data Science
- Machine Learning
- Artificial Intelligence
- Big Data
Improved identification of cancer mutational processes
Xiaoxi Pan, Khalid AbdulJabbar, Jose Coelho-Lima, Anca-Ioana Grapa, Hanyun Zhang, Alvin Ho Kwan Cheung, Juvenal Baena, Takahiro Karasaki, Claire Rachel Wilson, Marco Sereno, Selvaraju Veeriah, Sarah J. Aitken, Allan Hackshaw, Andrew G. Nicholson, Mariam Jamal-Hanjani, TRACERx Consortium, Charles Swanton, Yinyin Yuan, John Le Quesne & David A. Moore
The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma
Jan-Michel Heger, Julia Mattlener, Jessica Schneider, Philipp Gödel, Noëlle Sieg, Fabian Ullrich, Richard Lewis, Teodora Bucaciuc-Mracica, Roland F. Schwarz, Daniel Rueß, Maximilian I Ruge , Manuel Montesinos-Rongen, Martina Deckert, Tobias Blau, Nadine Kutsch, Hyatt Balke-Want, Jonathan Weiss, Kerstin Becker, H. Christian Reinhardt, Michael Hallek, Peter Borchmann, Bastian von Tresckow, Sven Borchmann
Entirely noninvasive outcome prediction in central nervous system lymphomas using circulating tumor DNA
Thomas B. K. Watkins, Emma C. Colliver, Matthew R. Huska, Tom L. Kaufmann, Emilia L. Lim, Cody B. Duncan, Kerstin Haase, Peter Van Loo, Charles Swanton, Nicholas McGranahan, Roland F. Schwarz
Refphase: Multi-sample phasing reveals haplotype-specific copy number heterogeneity
Tom L. Kaufmann, Marina Petkovic, Thomas B. K. Watkins, Emma C. Colliver, Sofya Laskina, Nisha Thapa, Darlan C. Minussi, Nicholas Navin, Charles Swanton, Peter Van Loo, Kerstin Haase, Maxime Tarabichi, Roland F. Schwarz
MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution
An overview of the current state of research in BIFOLD
Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.
Cloud computing contributes to cancer research
PCAWG, the largest cancer research consortium in the world, has set itself the task of improving our understanding of genetic mutations in tumors. A new study by the international research group, to which researchers in BIFOLD senior researcher Dr. Roland Schwarz’ group at the Max Delbrück Center for Molecular Medicine (MDC) substantially contributed, is now being published in the journal Nature.