We are interested in the evolution of rapidly adapting systems such as pathogens and cancer, and how is is shaped by the interference with the immune system. We combine approaches from information theory, statistical mechanics and machine learning to explore complex genetic and phenotypic datasets.
Marta Luksza is a computer scientist who works on a broad range of topics from computational and evolutionary biology. She received her PhD from Freie Universität and Max Planck Institute for Molecular Genetics in Berlin. She held a post-doctoral position at the Columbia University in New York followed by a Janssen research fellowship at the Institute for Advanced Study in Princeton. She is currently an assistant professor at the Icahn School of Medicine at Mount Sinai, the departments of Oncological Sciences and Genetics and Genomic Sciences.
A neoantigen fitness model predicts response to checkpoint-blockade immunotherapy. NATURE 551, 201.7 M. Łuksza, N. Riaz, V. Makarov, V.P. Balachandran, A. Solovyov, N.A. Rizvi, T. Merghoub, A.J. Levine, T.A. Chan, J.D. Wolchok, B.D. Greenbaum.
Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer. NATURE 551, 2017 V. P. Balachandran, M. Łuksza, J.N. Zhao, V. Makarov, R. Remark, B. Herbst, G. Askan, U. Bhanot, Y. Senbabaoglu, D.K. Wells, C. I. Ormsby Cary, O. Grbovic-Huezo, J. A. Moral, B. Medina, J. Zhang, J. Loo, J. Saglimbeni, M. Abu-Akeel, R. Zappasodi, N. Riaz, M. Smoragiewicz, Z. Larkin Kelley, O. Basturk, M. Gönen, A.J. Levine, P. J. Allen, D.T. Fearon, M. Merad, S. Gnjatic, J. D. Wolchok, R.P. DeMatteo, B.D. Greenbaum, T.A. Chan, T. Merghoub, S.D. Leach.
A predictive fitness model for influenza. NATURE 507, 2014. M. Łuksza, M. Lässig.