Research

Recent focus Summertime project! I am currently exploring the potential of superivised AI models to recognize changes in the TME permitting selection for resistant cancer clones.

Previous research My previous research spanned across many areas of mathematical and computational biology, from stochastic modeling of circadian networks to cancer evolution. See pulications for the reference

Selected publications

• The adaptive state determines the impact of mutations on evolving populations
  Proceedings of the National Academy of Sciences (PNAS), 2025
  Tyczyńska Weh M., Kumar P., Marusyk V., Marusyk A., Basanta D.
  Publisher (PNAS / DOI) · PubMed · Preprint (bioRxiv)

• Branched germline cysts and female-specific cyst fragmentation facilitate oocyte determination in mice
  Proceedings of the National Academy of Sciences (PNAS), 2023
  Ikami K., Shoffner-Beck S., Tyczyńska Weh M., Schnell S., Yoshida S., Diaz Miranda E.A., Ko S., Lei L.
  Publisher (PNAS / DOI) · Free full text (PMC) · PubMed

• Hunting ε: The origin and validity of quasi-steady-state reductions in enzyme kinetics
  SIAM Journal on Applied Dynamical Systems, 2021
  Eilertsen J., Tyczynska M.A., Schnell S.
  Publisher (SIAM / DOI) · Preprint (arXiv, PDF)

In preparation (as listed on CV)

• Selection for mutator phenotype in novel environments
• CYP3A4-mediated metabolic acceleration as an environmental resistance mechanism to targeted therapies
• Dual effect of ecDNA during tumor initiation and progression