Academic interests
- Mathematical oncology
- Biostatistics
- Knowledge-driven machine learning
- Computational biology
- Systems medicine
- Personalized cancer medicine
Courses taught
- MF9130E - Introductory course in statistics, UiO
- IMB9270 - Quantitative biology, or mathematics is biology's next microscope, UiO
- FYS4715 – Biological physics, UiO
- MF9270 - Quantitative biology, or mathematics is biology’s next microscope, UiO
- SS2014 - Biology and mathematics of vascular development, TU Dresden
- WS2013/14 - Computational systems biology of cancer, TU Dresden
- WS2012/13 - Principles of cancer development: Mechanisms and mathematical models, TU Dresden
- SS2012 - Biology and mathematics of brain tumors, TU Dresden
Higher education and employment history
- Research Associate, Oslo Centre for Biostatistics and Epidemiology, University of Oslo and Oslo University Hospital, Norway, 2016-....
- Research Associate, Department for Innovative Methods of Computing, Center for High Performance Computing, TU Dresden, Germany, 2012-2015.
- Junior leader and co-coordinator of GlioMath-Dresden project, TU Dresden, Germany, 2012-2014.
- PhD in Mathematical and Computational Biology (Advisors: Prof. M.A. Herrero and Prof. J.M. Perez-Pomares), Department of Applied Mathematics, Complutense University of Madrid, Spain, 2012.
- MSc in Physics and Mathematics - Biomathematics, University of Granada, Spain, 2008.
- MSc in Mathematical Research - Applied Mathematics, Complutense University of Madrid, Spain, 2007.
- Bachelor in Mathematics, University of Málaga, Spain, 2005.
Main Collaborations
- Vessela Kristensen, Department of Medical Genetics, Oslo University Hospital, Norway (personalized breast cancer medicine).
- Jasmine Foo and Kevin Leder, University of Minnesota, USA (cancer modeling)
- Aleix Prat and Fara Brasó-Maristani, Hospital Clínic Barcelona (predictive biomarkers for breast cancer treatment).
- Kjetil Taskén and Jorrit Enserink, Institute for Cancer Research, Oslo University Hospital (modeling of drug response heterogeneity).
- Pedro Lind, Sergiy Denysov and Heine Olsson Aabø, Department of Computer Science, OsloMet (reinforcement learning for cancer treatment decision making).
- Tugba Akman Yildiz, Department of Computer Engineering at the University of Turkish Aeronautical Association, Ankara (optimization of aromatase inhibitor treatment in breast cancer)
Publications