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Gillian Queisser

Associate Professor, Department of Mathematics
College of Science and Technology, Temple University

Short CV

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 

1990-2000 

High-School (Gymnasium) in Memmingen, Germany

Employment History

since 2015

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


2010-2015

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


2008-2010

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


2006-2008

Research Associate at the Simulation in Technology Research Group at the University of Heidelberg (Research area: Numerics and Scientific Computing)


2004-2006      

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

Funding

  • Interdisciplinary Program CellNetworks, Heidelberg
  • Baden-Württemberg Foundation funding projects in high performance computing
  • Federal Ministry of Education and Research: Neuronal Calcium Signaling
  • Federal Ministry of Education and Research: Synaptic Transmission
  • NeFF (Neuronal Coordination Research Focus Frankfurt)
  • Hessian Ministry for Science (14 months): High performance computing
  • EU-Flagship Project “Human Brain Project” Numerical Methods in Neuroscientific High Performance Computing (in collaboration with G. Wittum)
  • BMBF/NSF/NIH: Deciphering the Dynamical Microscale Structure-Function Relation of Dendritic Spines
  • National Institute of Health: US-German Collaboration toward an experimentally validated multiscale model of repetitive transcranial magnetic stimulation (rTMS)

References

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

Conference Publications

  1. Breit, M., Patirniche, D., Monteagudo, P., Weinkauf, T., Stemmler, M., Ellisman, M., Herz, A., Queisser, G. (2017) Deciphering the dynamical microscale structure-function relation of dendritic spines, CRCNS Meeting, Providence, Rhode Island
  2. Breit, M., Stepniewski, M., Queisser, G. (2017) Ultra-structural simulations of electro-chemical signals through dendritic spines, ICMS Meeting, Boulder, Colorado
  3. Queisser, G., Breit, M., Patirniche, D., Herz, A. (2016) Ultra-structural simulations of electro-chemical signals through dendritic spines, CRCNS Meeting, Paris, France
  4. Queisser, G., Breit, M., Patirniche, D., Ellisman, M., Herz, A. (2015) Numerical methods for modeling and simulation of the electrical properties of spines at an ultra-structural level, CRCNS Meeting, Seattle, Washington
  5. Breit, M., Queisser, G. (2014) A posteriori error estimator for nonlinear interface conditions discretized by Finite Volumes, Oberwolfach Report, doi: 10.4171/OWR/2014/24
  6. Wolf, S., Grein, S., and Queisser, G. (2014) NeuGen 2.0 – Automatic generation of large neuron networks using anatomical databases, Front. Neuroinf., doi: 10.3389/conf.fninf.2014.08.00098
  7. Breit M, Bengtson P, Hertle A, Bading H, Queisser G (2013) Detailed simulation of calcium signaling in 3d reconstructed neurons. Bernstein Conference 2013. doi: 10.12751/nncn.bc2013.0190
  8. Grein, S., Stepniewski, M., Reiter, S., Knodel, M.M., and Queisser, G. (2013) 1D-3D Hybrid Modelling: From Multi-Compartment Models to Full Resolution Models in Space and Time, Front. Neuroinform., doi: 10.3389/conf.fninf.2013.09.00038
  9. Grein, S., Bunse, S., Schuman, E., and Queisser, G. (2013) Long-term potentiation through calcium-mediated N-Cadherin interaction is tightly controlled by the three-dimensional architecture of the synapse, BMC Neuroscience, doi: 10.1186/1471-2202-14-S1-P321
  10. Breit, M., Bengtson, P., Hagenston, A., Bading, H., and Queisser, G. (2012) Cellular and Nuclear Morphology…and Calcium Signaling: Revealing the Interplay between Structure and Function, Front. Comput. Neurosci., doi: 10.3389/conf.fncom.2012.55.00081 
  11. Breit, M., Bading, H., and Queisser, G. (2011) Structural dynamics of the nucleus: Basis for Morphology Modulation of Nuclear Calcium Signaling and Gene Transcription. Front. Comput. Neurosci., doi: 10.3389/conf.fncom.2011.53.00172
  12. Knodel, M., Queisser, G., Bucher, D., Geiger, R., Ge, L., Grillo, A., Schuster, C., and Wittum, G. (2011) Synaptic bouton sizes are tuned to best fit their physiological performances, BMC Neuroscience, doi: 10.1186/1471-2202-12-S1-P371
  13. Breit, M., Hagenston, A., Hellwig, A., Bengtson, P., Bading, H., and Queisser, G. (2010) Three-dimensional Computational Modeling of Cellular Calcium Dynamics in Healthy and Pathological Neurons. Front. Comput. Neurosci., doi: 10.3389/conf.fncom.2010.51.00076
  14. Xylouris, K., Wittum, G., and Queisser, G. (2010) Finding the connectivity matrix of a neuron population based on their activity pattern. Front. Comput. Neurosci., doi: 10.3389/conf.fncom.2010.51.00052 
  15. Höllbacher, S., Stepniewski, M., Queisser, G., and Wittum, G. (2010) Modelling the Transmitter Dynamics on 3D-Geometries of Single Inhibitory Synapses, Front. Comput. Neurosci., doi: 10.3389/conf.fncom.2010.51.00013
  16. Queisser, G. (2009) The Morphology of Cell Nuclei Regulates Calcium Coding in Hippocampal Neurons. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.066

Teaching

2018/2019

Methods in Applied Mathematics

2018

Calculus III

2018

Mathematical Modeling

2017

Topics in Applied Mathematics

2017     

Calculus II

2016/17     

Honors Calculus III

2015/16     

Calculus I

2014/15     

Course “Modeling and Simulation I: Numerical discretization methods”

2014    

Workshop “Computational Neuroscience – From Imaging Data to Detailed Simulations”

2014     

Seminar “Modellierung and Simulation”

2014     

Research internship “Modellierung and Simulation”

2013/14     

Course “Modeling and Simulation III – Numerical applications in science”

2013     

Workshop “Computational Neuroscience”

2013     

Course “Modeling and Simulation II – Fast solvers for large systems”

2013     

Internship “Modeling and Simulation II”

2013     

Seminar “Modeling signal processing in neurons”

2012/13     

Course “Modeling and Simulation I: Numerical discretization methods”

2012/13     

Internship “Modeling and Simulation I”

2012/13     

Seminar “Modeling signal processing in neurons”

2012     

Summer School “Modeling and Simulation of Biological Systems with the Simulation System uG 4”

2012     

Workshop “Computational Neuroscience”

2012     

Course “Neuro/Bioinformatics”

2012     

Internship “Modeling and Simulation II”

2012    

Seminar “Modeling signal processing in neurons”

2011     

Course “Computational Neuroscience”

2011     

Internship “Modeling and Simulation II”

2011     

Seminar “Modellierung der Signalverarbeitung in Neuronen”

2010     

Internship “Modeling and Simulation II”

2010     

Seminar “Modeling signal processing in neurons”

2009     

Seminar “Advances in Computational Neuroscience”

2007-2009     

Substitute for the numerical mathematics courses

2008    

​Head instructor for the numerical mathematics courses