# Jan Poleszczuk

Jan Poleszczuk (born 19 October 1986) is a Polish mathematician and biologist known for his contributions in mathematical biology.

## Early life and education

Poleszczuk was born on 19 October 1986. In June 2010, he graduated from Warsaw University's Faculty of Mathematics, Informatics and Mechanics with a Master of Science in mathematical methods in biology and social sciences based on the thesis "Modeling of tumor angiogenesis and antiangiogenic therapy on the basis of Hahnfeldt et al. mode".

## Academic career

Under supervision of Maria Wideł and coadvisor Urszula Alicja Foryś, Jan Poleszczuk defended the Ph.D. in Biocybernetics and Biomedical Engineering at Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, based on dissertation: "Mathematical modeling of cancer cell response to therapy induced stress" February 2014, Next, under supervision of Urszula Alicja Foryś with coadvisor Maria Wideł, he defended the Ph.D. in Mathematics at Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, based on thesis ""Exploring potential tumor growth modulating mechanisms in cells having different status of TP53 gene"" in December 2015.
Since February 2012, he has been a research fellow at the Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences.
On 2020-06-26, his dissertation Mathematical modeling in the study of evolution and treatment of cancer with radio and immunotherapy was presented to the scientific council of the Maciej Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. He was habilitated in the field of engineering sciences, discipline of biomedical engineering, receiving the degree of doctor of science.

## Contributions

His publications are listed in various data bases. The author and co-author of more than 60 scientific articles. Most of the works are interdisciplinary. The most cited works are in the area of mathematical modeling of gene expression Stochastic models of gene expression with delayed degradation, immune reaction Mathematical modelling of immune reaction against gliomas: sensitivity analysis and influence of delays.
As a mathematician working in the field of oncology, he supports biologists, medical doctors, physicists and chemists. His aim is to understand how gene mutations interact and how they affect cancer growth. His work is focused on increasing the effectiveness of existing therapies (radiotherapy and chemotherapy), which may improve the situation of many more patients more quickly than with new targeted drug therapies with limited effects. In radiotherapy, he created a model aimed at selecting, from among many metastases, this tumor in the patient's body, the irradiation of which will maximize the overall effectiveness of the therapy. He also used mathematical and computer methods to calculate and propose radiation therapy plans to harm the cancer as much as possible but preserve healthy tissues and organs. He is currently working on improving the dosage of chemotherapy so that it does not result in tumor resistance to treatment in relapses. He is member of Polish Mathematical Society (Treasurer for years 2017–2020), Polish Radiation Research Society, Society for Mathematical Biology and American Association for Cancer Research.