Marta Luksza, PhD Email Marta Luksza
- ASSISTANT PROFESSOR | Oncological Sciences
- ASSISTANT PROFESSOR | Genetics and Genomic Sciences
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.
For inquires about positions please contact Estefani Flores: email@example.com
Bioinformatics, Biophysics, Cancer, Infectious Disease, Influenza Virus, Viruses and Virology
PhD, Free University & Max Planck Institute for Molecular Genetics
Łuksza M, Riaz N, Makarov V, Balachandran VP, Hellmann MD, Solovyov A, Rizvi NA, Merghoub T, Levine AJ, Chan TA, Wolchok JD, Greenbaum BD. A neoantigen fitness model predicts tumour response to checkpoint blockade immunotherapy. Nature 2017 11; 551(7681).
Balachandran VP, Łuksza M, Zhao JN, Makarov V, Moral JA, Remark R, Herbst B, Askan G, Bhanot U, Senbabaoglu Y, Wells DK, Cary CI, Grbovic-Huezo O, Attiyeh M, Medina B, Zhang J, Loo J, Saglimbeni J, Abu-Akeel M, Zappasodi R, Riaz N, Smoragiewicz M, Kelley ZL, Basturk O, Gönen M, Levine AJ, Allen PJ, Fearon DT, Merad M, Gnjatic S, Iacobuzio-Donahue CA, Wolchok JD, DeMatteo RP, Chan TA, Greenbaum BD, Merghoub T, Leach SD. Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer. Nature 2017 11; 551(7681).
Morris DH, Gostic KM, Pompei S, Bedford T, Łuksza M, Neher RA, Grenfell BT, Lässig M, McCauley JW. Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology. Trends in microbiology 2018 Feb; 26(2).
Luksza M, Lässig M. A predictive fitness model for influenza. Nature 2014 Mar; 507(7490).
Łuksza M, Lässig M, Berg J. Significance analysis and statistical mechanics: an application to clustering. Physical review letters 2010 Nov; 105(22).
Łuksza M, Kluge B, Ostrowski J, Karczmarski J, Gambin A. Two-stage model-based clustering for liquid chromatography mass spectrometry data analysis. Statistical applications in genetics and molecular biology 2009; 8.
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Dr.Luksza did not report having any of the following types of financial relationships with industry during 2017 and/or 2018: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
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