About Us

Gillian Queisser

Professor, Department of Mathematics

College of Science and Technology, Temple University


Short CV

Employment history

since 2024

Professor at the Department of Mathematics, Temple University, Philadelphia, PA, USA

2015-2024

Associate Professor at the Department of Mathematics, Temple University, Philadelphia, PA, USA

2010-2015

W1-Professor at the Department of Computer Science and Mathematics, Goethe University Frankfurt, Germany

2008-2010

Independent Research Group Leader of the Computational Neuroscience Research Group at the Cluster of Excellence CellNetworks, University of Heidelberg, Germany

2006-2008

Research Associate at the Simulation in Technology Research Group, University of Heidelberg, Germany

2004-2006

Research Assistant at the Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany

Education

2006-2008

PhD thesis at the Ruprecht-Karls University of Heidelberg in the area of Numerical Mathematics and Scientific computing

2006

Diploma thesis in Applied Mathematics

2001-2006

Diploma studies of Mathematics at the Ruprecht-Karls University of Heidelberg


Present and former members

Postdoctoral Researchers
  • Qingguang Guan
  • Zachary Miksis
Graduate Researchers
  • Piyush Borole
  • Markus Breit
  • Stephan Grein
  • Brandi Henry
  • Zhi Li
  • James Rosado
  • Madison Shoraka
  • Martin Stepniewski
Undergraduate Researchers
  • Isreal Ben Aron
  • Andrew Boyle
  • Michael Bennet
  • Liam Chambers
  • Roman Danylyshyn
  • Thuc Duong
  • Craig Fox
  • Zach Goldstein
  • Dylan Hake
  • Brandi Henry
  • Brandon Hugger
  • Kshitiz Malhotra
  • Bogdan Nagirniak
  • Logan Neishloss
  • Amy Ollomani
  • Calin Pescaru
  • Emily Russell
  • Christina Serova
  • Shreya Shah
  • Jason Stahl
  • Ethan Steinberg
  • Noah Williams

Publications

  1. 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
  2. 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
  3. 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
  4. 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 
  5. 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
  6. 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
  7. 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
  8. 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
  9. Queisser, G., Stepniewski, M. (2020) A subdivision based geometric multigrid method, Computing and Visualization in Science
  10. 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
  11. 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)
  12. 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)
  13. 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
  14. 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
  15. Breit, M., Stepniewski, M., Hoffer, M., Queisser, G. (accepted for publication) NeuroBox: Computational Mathematics in Multiscale Neuroscience
  16. Mörschel, K., Breit, M., Queisser, G. (2017) Generating neuron geometries for detailed three-dimensional simulations using AnaMorph
  17. 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
  18. 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
  19. 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
  20. Queisser, G. (2013) Transcriptional Control Dysfunction, Modeling, Encyclopedia of Computational Neuroscience, DOI 10.1007/978-1-4614-7320-6_717-3
  21. 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
  22. Jungblut, D., Queisser, G., Wittum, G. (2011) Inertia Based Filtering of High Resolution Images Using a GPU Cluster. Comp. Vis. Sci. 14:181-186
  23. Queisser, G., Wittum, G. (2011) A method to investigate the diffusion properties of nuclear calcium. Biol. Cybern., 105(3-4):211-216
  24. 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
  25. 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
  26. Queisser, G. (2009) A Mathematical Calcium-Induced Calcium-Release Model, Il Nuovo Cimento C, Vol. 32:1
  27. 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
  28. 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.