Marta Luksza, PhD
About Me
I am a computer scientist working on topics at the interface of evolutionary biology and immunology. We apply approaches from information theory, statistical mechanics and machine learning to understand how the immune system and other biophysical phenotypes affect the evolution of viruses and cancer. Understanding their evolutionary dynamics and ways of adaptation is crucial for the design of treatments and vaccine selection.
Previously, we have developed computational methods for inference of fitness effects from genetic, phenotypic and epidemiological data for predicting the evolution of the influenza virus. The model is currently used to consult the World Health Organization vaccine strain selection. We also proposed a predictive model for therapy response of tumors evolving under strong selection from the immunotherapy. These studies have laid the groundwork for investigating personalized neoantigen vaccines for patients with various cancer types.
We are looking for highly motivated students and postdocs to join our lab and conduct research in the area of cancer or virus evolution.
Language
Position
Research Topics
Biophysics, Cancer, Computational Biology, Immunology, Infectious Disease, Influenza Virus, SARS Virus, Viruses and Virology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS], Immunology [IMM]
About Me
I am a computer scientist working on topics at the interface of evolutionary biology and immunology. We apply approaches from information theory, statistical mechanics and machine learning to understand how the immune system and other biophysical phenotypes affect the evolution of viruses and cancer. Understanding their evolutionary dynamics and ways of adaptation is crucial for the design of treatments and vaccine selection.
Previously, we have developed computational methods for inference of fitness effects from genetic, phenotypic and epidemiological data for predicting the evolution of the influenza virus. The model is currently used to consult the World Health Organization vaccine strain selection. We also proposed a predictive model for therapy response of tumors evolving under strong selection from the immunotherapy. These studies have laid the groundwork for investigating personalized neoantigen vaccines for patients with various cancer types.
We are looking for highly motivated students and postdocs to join our lab and conduct research in the area of cancer or virus evolution.
Language
Position
Research Topics
Biophysics, Cancer, Computational Biology, Immunology, Infectious Disease, Influenza Virus, SARS Virus, Viruses and Virology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS], Immunology [IMM]
