Dr Poulami Somanya Ganguly

Profile

I am a Postdoctoral Research Assistant working on mathematical models of cancer evolution with Dr Weini Huang.

I am currently investigating the role of extrachromosomal DNA (ecDNA) in cancer. ecDNA are small circular genetic elements in the cell nucleus that have been observed to carry oncogenes in human cancer cells. My research aims to model the evolutionary dynamics of ecDNA, using both first-principles models and data-driven methods, to better understand how these elements influence cancer progression and treatment resistance. I am part of the eDyNAmiC team funded by Cancer Grand Challenges. 

Prior to joining Queen Mary I completed a PhD in applied mathematics at Leiden University and CWI Amsterdam, where my research was in the area of inverse problems and convex optimization. I hold Master's degrees in theoretical physics and biophysics from the University of Cologne and University College London, respectively.

Research interests

Inverse problems, machine learning, dynamical systems, evolutionary biology

Publications

Conference papers

• Ganguly, P. S., Lucka, F., Hupkes, H. J., & Batenburg, K. J. (2020). Atomic super-resolution tomography. In Combinatorial Image Analysis: 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16–18, 2020, Proceedings 20 (pp. 45-61). Springer International Publishing

Journal articles

• Ganguly, P. S., Lucka, F., Kohr, H., Franken, E., Hupkes, H. J., & Batenburg, K. J. (2022). SparseAlign: a grid-free algorithm for automatic marker localization and deformation estimation in cryo-electron tomography. IEEE Transactions on Computational Imaging, 8, 651-665
• Ganguly, P. S., Pelt, D. M., Gürsoy, D., De Carlo, F., & Batenburg, K. J. (2021). Improving reproducibility in synchrotron tomography using implementation-adapted filters. Journal of Synchrotron Radiation, 28(5), 1583-1597
• Leuschner, J., Schmidt, M., Ganguly, P.S., Andriiashen, V., Coban, S.B., Denker, A., Bauer, D., Hadjifaradji, A., Batenburg, K.J., Maass, P. and van Eijnatten, M., (2021). Quantitative comparison of deep learning-based image reconstruction methods for low-dose and sparse-angle CT applications. Journal of Imaging, 7(3), p.44
• Ray, R.P., Ganguly, P.S., Alt, S., Davis, J.R., Hoppe, A., Tapon, N., Salbreux, G. and Thompson, B.J., (2018). Apical and basal matrix remodeling control epithelial morphogenesis. Developmental cell, 46(1), pp.23-39
• Alt, S., Ganguly, P., & Salbreux, G. (2017). Vertex models: from cell mechanics to tissue morphogenesis. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1720), 20150520

Teaching assistantships

• Numerical Mathematics for undergraduate students, Leiden University (2022)
• Classical Theoretical Physics for undergraduate students, University of Cologne (2015)

Research