About Us

Gillian Queisser

Professor

Director of Graduate Studies

Department of Mathematics

College of Science and Technology

Center for Microbiology and Immunology

Lewis Katz School of Medicine

Temple University

Short CV

Present and former members

Publications

1. H. Jean-Baptiste, B. Henry Megonigal, M. Shoraka, B. Utter, S. Dornblaser, S. Kazi, V. R., Deep Beeram, L. Neishloss, A. Pasyar, S. Kunapuli, V. A. Voelz, G. Queisser & B. A. Buttaro (2026) pCF10 reprograms Enterococcus faecalis biofilms to promote nonattached aggregate biofilms, oxidative stress adaptation, and spatial antibiotic protection, npj Biofilms Microbiomes (2026). https://doi.org/10.1038/s41522-026-01121-5 
2. Shoraka, M., Jean-Baptiste, H., Buttaro, B., Queisser, G. (2025) Using stochastic cellular automata to model and define sufficient conditions for the survival of Enterococcus faecalis  biofilms with the pCF10 plasmid under erythromycin treatment, PLOS Computational Biology
3. Miksis, Z., Queisser, G. (2024) A physics-informed neural network for coupled calcium dynamics in a cable neuron, International Conference on Scientific Computing and Machine Learning
4. Borole, P., Rosado, J., Neal, M., Queisser, G. (2023) Neuronal Resilience and Calcium Signaling Pathways in the Context of Synapse Loss and Calcium Leaks: A Computational Modeling Study and Implications for Alzheimer’s Disease, SIAM Journal on Applied Mathematics
5. Guan, Q., Queisser, G., Zhao, W. (2023) Weak Galerkin finite element method for second order problems on curvilinear polytopal meshes with Lipschitz continuous edges or faces, Computers and Mathematics with Applications, 148, 282-292, doi:10.1016/j.camwa.2023.08.017
6. Rosado, J., Bui, V.D., Haas, C.A., Beck, J., Queisser, G., Vlachos, A. (2022) Calcium modeling of spine apparatus-containing human dendritic spines demonstrates an “all-or-nothing” communication switch between the spine head and dendrite, PLOS Computational Biololgy, doi:10.1371/journal.pcbi.1010069
7. Guan, Q., Queisser, G. (2022) Modeling calcium dynamics in neurons with endoplasmic reticulum: Existence, uniqueness and an implicit-explicit finite element scheme, Communications in Nonlinear Science and Numerical Simulation, 109 (2022), doi: https://doi.org/10.1016/j.cnsns.2022.106354 
8. Amanda Miller, Lauren Nicastro, Shingo Bessho, Kaitlyn Grando, Aaron White, Yi Zhang, Gillian Queisser, Bettina Buttaro, and Cagla Tukel (2022) Nitrate is an environmental cue in the gut for Salmonella enterica serovar Typhimurium biofilm dispersal through curli repression and flagella activation via c-di-GMP signaling, mBio
9. Sina Shirinpour, Nicholas Hananeia, James Rosado, Christos Galanis, Andreas Vlachos, Peter Jedlicka, Gillian Queisser, Alexander Opitz (2021) Multi-scale Modeling Toolbox for Single Neuron and Subcellular Activity under (repetitive) Transcranial Magnetic Stimulation, Brain Stimulation
10. B. Buttaro, G. Queisser (2021) A Bead Movement Based Computational Framework for 3-Dimensional Analysis of Biofilm Material Heterogeneity, Journal of Visualized Experiments (172), doi:10.3791/62454
11. Queisser, G., Stepniewski, M. (2021) A subdivision based geometric multigrid method, International Journal of Computing and Visualization in Science and Engineering, doi:10.51375/IJCVSE.2021.1.2
12. Breit, M., Queisser, G. (2020) The necessary modeling detail for neuronal signaling: Poisson-Nernst-Planck and cable equation models in 1D and 3D, SIAM Journal on Applied Mathematics
13. Li, Z., Biswas, A., Finkelstein, J., Grein, S., Kapoor, Y., Milewski, M., Queisser, G. (2020) A computational model for dermal drug absorption with detailed lymphatic uptake dynamics, Journal of Pharmaceutical Sciences
14. K. Malhotra, T. Hunter, B. Henry, Y. Ishmail, P. Gaddameedi, S. Tursi, Ç. Tükel, M. Hoffer, B. Buttaro, G. Queisser (2020) Development of a new bead movement based computational framework shows curli amyloids reduce bead mobility in biofilms, Journal of Bacteriology
15. Grein, S., Queisser, G. (2020) Density Visualization Pipeline: A tool for cellular and network density visualization and analysis. Frontiers in Computational Neuroscience, DOI: 10.3389/ fncom.2020.00042 (link: https://www.frontiersin.org/articles/10.3389/fncom.2020.00042/abstract)
16. Breit, M., Stepniewski, M., Hoffer, M., Queisser, G. (2019) NeuroBox: Computational Mathematics in Multiscale Neuroscience. Computing and Visualization in Science, DOI: 10.1007/ s00791-019-00314-0 (link: https://rdcu.be/bGNBU)
17. Breit, M. Kessler, M., Stepniewski, M., Vlachos, A., Queisser, G. (2018) Spine-to-Dendrite Calcium Modeling Discloses Relevance for Precise Positioning of Ryanodine Receptor-Containing Spine Endoplasmic Reticulum. Nature Scientific Reports 8:15624. DOI: 10.1038/s41598-018-33343-9
18. Breit, M., Queisser, G. (2018) What is required for neuronal calcium waves? A numerical parameter study, Journal of Mathematical Neuroscience 8:9.DOI:10.1186/s13408-018-0064-x
19. Breit, M., Stepniewski, M., Hoffer, M., Queisser, G. (accepted for publication) NeuroBox: Computational Mathematics in Multiscale Neuroscience
20. Mörschel, K., Breit, M., Queisser, G. (2017) Generating neuron geometries for detailed three-dimensional simulations using AnaMorph
21. Breit, M., Stepniewski, M., Grein, S., Gottmann, P., Reinhardt, L., Queisser, G. (2016) Anatomically Detailed and Large-Scale Simulations Studying Synapse Loss and Synchrony Using NeuroBox. Frontiers in Neuroanatomy. 8:10. DOI: 10.3389/fnana.2016.00008
22. Knodel, M.M., Geiger, R., Ge, L., Bucher, D., Grillo, A., Wittum, G., Schuster, C.M., Queisser, G. (2014) Synaptic Bouton Properties Are Tuned to Best Fit the Prevailing Firing Pattern. Front. Comput. Neurosci. 8:101. DOI: 10.3389/fncom.2014.00101
23. Grein S, Stepniewski M, Reiter S, Knodel M and Queisser G (2014). 1D-3D Hybrid Modelling – From Multi-Compartment Models to Full Resolution Models in Space and Time. Front. Neuroinform. 8:68. DOI: 10.3389/fninf.2014.00068
24. Queisser, G. (2013) Transcriptional Control Dysfunction, Modeling, Encyclopedia of Computational Neuroscience, DOI 10.1007/978-1-4614-7320-6_717-3
25. Wolf, S., Grein, S., Queisser, G. (2012) Employing NeuGen 2.0 to automatically generate realistic morphologies of hippocampal neurons and neural networks in 3D. Neuroinformatics, DOI 10.1007/s12021-012-9170-1
26. Jungblut, D., Queisser, G., Wittum, G. (2011) Inertia Based Filtering of High Resolution Images Using a GPU Cluster. Comp. Vis. Sci. 14:181-186
27. Queisser, G., Wittum, G. (2011) A method to investigate the diffusion properties of nuclear calcium. Biol. Cybern., 105(3-4):211-216
28. Queisser, G., Wiegert S., and Bading, H. (2011) Structural dynamics of the nucleus: Basis for Morphology Modulation of Nuclear Calcium Signaling and Gene Transcription. Nucleus. DOI: 10.4161/nucl.2.2.15116
29. Xylouris, K., Queisser, G., and Wittum, G. (2011) A Three-Dimensional Mathematical Model of Active Signal Processing in Axons. Comp. Vis. Sci. 13(8): 409-418
30. Queisser, G. (2009) A Mathematical Calcium-Induced Calcium-Release Model, Il Nuovo Cimento C, Vol. 32:1
31. Wittmann, M., Queisser, G., Eder, A., Wiegert, J.S., Bengtson, C.P., Hellwig, A., Wittum, G., and Bading, H. (2009) Synaptic Activity Induces Dramatic Changes in the Geometry of the Cell Nucleus: Interplay Between Nuclear Structure, Histone H3 Phosphorylation, and Nuclear Calcium Signaling. The Journal of Neuroscience 29(47):14687-14700
32. Queisser, G., Wittmann, M., Bading, H., and Wittum, G. (2008) Filtering, reconstruction, and measurement of the geometry of nuclei from hippocampal neurons based on confocal microscopy data. Journal of Biomedical Optics 13, 014009.