Jan Poleszczuk


Jan Poleszczuk is a Polish mathematician and biomedical engineer specializing in mathematical modeling in oncology. He is a researcher at the Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences and a laureate of the Polityka Science Award. His work concerns tumor growth dynamics, gene-expression modeling and optimization of radio- and chemotherapy.

Early life and education

Poleszczuk was born in Poland on 19 October 1986. He received his Master of Science degree in mathematical methods in biology and social sciences from the University of Warsaw in 2010, defending a thesis on modeling tumor angiogenesis and anti-angiogenic therapy based on the Hahnfeldt model.
Under the supervision of Maria Wideł and co-supervision of Urszula Alicja Foryś, he earned a Ph.D. in biocybernetics and biomedical engineering from the Silesian University of Technology in 2014 for the dissertation Mathematical modeling of cancer cell response to therapy-induced stress. He subsequently obtained a Ph.D. in mathematics from the University of Warsaw in 2015 with the thesis Exploring potential tumor growth modulating mechanisms in cells having different status of TP53 gene.
In 2020 he was awarded the habilitation in biomedical engineering by the Nałęcz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, for his work Mathematical modeling in the study of evolution and treatment of cancer with radio and immunotherapy.

Academic career

Since 2012 Poleszczuk has been affiliated with the Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences, where he works on quantitative models of tumor response to therapy and radiobiological optimization. He has also collaborated with the Maria Skłodowska-Curie National Research Institute of Oncology on mathematical and computational methods in radiotherapy planning.

Research

Poleszczuk has authored or co-authored more than 60 scientific articles indexed in MathSciNet, Zentralblatt MATH, and PubMed. His most cited works include Stochastic models of gene expression with delayed degradation published in Bulletin of Mathematical Biology and Mathematical modelling of immune reaction against gliomas: Sensitivity analysis and influence of delays.
His research integrates mathematical modeling, systems biology, and biomedical engineering to understand interactions between gene mutations and tumor growth and to improve therapeutic protocols in radiotherapy and chemotherapy.

Awards and membership