Gosia Weh

I hold a Ph.D. in Integrated Mathematical Oncology. My expertise lies in creating realistic mathematical models that, when combined with experimental or clinical data, explain cancer evolution and predict other complex biological processes.

🧬 Past research focus

I primarily use mathematical modeling and data analysis for my research. Because of the interdisciplinary nature of my research, I am actively collaborating with experimental biologists (and hopefully clinicians in the future). Some of my previous research focused on the following problems:

  • PhD: To understand when, why, and how specific mutation rates benefit cancers adapting to treatment. I also investigated the role of metabolic conversion in the emergence of treatment resistance, using pharmacokinetic (PK) modeling, and the limits of extrachromosomal DNA (ecDNA) during cancer evolution.
  • Research Assistant: Modeling autocatalytic enzyme kinetics and analyzing reaction kinetics databases
  • M.Sc.: Detecting causality in circadian rhythms models and data

šŸŽ“ Education & Experience

I completed a Ph.D. at the Department of Integrated Mathematical Oncology at Moffitt Cancer Center & the University of South Florida (FL, USA). I also completed M.Sc. in Mathematical Sciences from Korea Advanced Institute of Science and Technology (KAIST, South Korea), M.Sc.Eng. in Mathematical Modeling and Computation from the Technical University of Denmark (DTU, Denmark), and I worked as a research assistant at the Department of Molecular and Integrative Physiology at the University of Michigan Medical School (MI, USA).

See the CV for the complete list of professional activities.

šŸ‘©ā€šŸŽ“ Name & Pronouns

My pronouns are she/her or Dr. I’m publishing under the name Malgorzata Tyczynska Weh.