Dr Kristen Feher

Dr Kristen Feher

Research Fellow (B) (with PhD)

SAIGENCI

College of Health

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Dr. Kristen Feher is a computational researcher in the Sweeney Lab at SAiGENCI. She has a particular interest in the intersection of technology and computational biology, as well as cell signalling. In the Sweeney lab, Dr. Feher is computationally investigating mRNA decay, with a particular focus on the NF-kB signalling pathway. In addition, she works on spatial transcriptomics methodology as well as supporting the lab in data analysis.Prior to joining SAiGENCI, she worked as a computational scientist in the lab of Prof. Kat Gaus within Single Molecule Science at UNSW, analysing Single Molecule Localisation Microscopy imaging data of T cell receptor clustering response after activation. Prior to joining UNSW, she worked with Toralf Kaiser in the Flow Cytometry Core at the German Rheumatism Research Centre (DRFZ) in Berlin, in a commercial collaboration with A.P.E. Gmbh, a laser and electronics OEM. This collaboration investigated novel flow cytometry hardware, including calibration and pulse shape cytometry for label free cell analysis and sorting.

Year Citation
2024 Tan, C. W., Chen, J., Liu, N., Bhuva, D. D., Blick, T., Monkman, J., . . . Davis, M. J. (2024). In situ single-cell profiling sheds light on IFI27 localisation during SARS-CoV-2 infection. EBioMedicine, 101, 105016-1-105016-4.
DOI Scopus5 WoS4 Europe PMC5
2024 Bhuva, D. D., Tan, C. W., Salim, A., Marceaux, C., Pickering, M. A., Chen, J., . . . Davis, M. J. (2024). Library size confounds biology in spatial transcriptomics data. Genome Biology, 25(1), 99-1-99-10.
DOI Scopus9 WoS12 Europe PMC32
2024 Filipe, E. C., Velayuthar, S., Philp, A., Nobis, M., Latham, S. L., Parker, A. L., . . . Cox, T. R. (2024). Tumor Biomechanics Alters Metastatic Dissemination of Triple Negative Breast Cancer via Rewiring Fatty Acid Metabolism. Advanced Science, 11(23), 2307963-1-2307963 -21.
DOI Scopus15 WoS14 Europe PMC13
2021 Feher, K., Graus, M. S., Coelho, S., Farrell, M. V., Goyette, J., & Gaus, K. (2021). K-Neighbourhood Analysis: A Method for Understanding SMLM Images as Compositions of Local Neighbourhoods. Frontiers in Bioinformatics, 1, 14 pages.
DOI
2021 Kage, D., Heinrich, K., Volkmann, K. V., Kirsch, J., Feher, K., Giesecke-Thiel, C., & Kaiser, T. (2021). Multi-angle pulse shape detection of scattered light in flow cytometry for label-free cell cycle classification. Communications Biology, 4(1), 11 pages.
DOI Scopus7 WoS8 Europe PMC6
2020 Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., Popien, J., & Kaiser, T. (2020). Response to Parks et al.: Multispectral Flow Cytometry: Unaddressed Issues and Recommendations for Improvement. Cytometry Part A, 97(12), 1278.
DOI
2020 Coelho, S., Baek, J., Graus, M. S., Halstead, J. M., Nicovich, P. R., Feher, K., . . . Gaus, K. (2020). Ultraprecise single-molecule localization microscopy enables in situ distance measurements in intact cells. Science Advances, 6(16), 9 pages.
DOI Scopus61 WoS57 Europe PMC44
2020 Giesecke-Thiel, C., Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., & Kaiser, T. (2020). Response to: Comments on the publication “Determination of Background, Signal-to-Noise, and Dynamic Range of a Flow Cytometer: A Novel Practical Method for Instrument Characterization and Standardization” by Giesecke et al.. Cytometry Part A, 97(4), 429-430.
DOI
2019 Feher, K., Halstead, J. M., Goyette, J., & Gaus, K. (2019). Can single molecule localization microscopy detect nanoclusters in T cells?. Current Opinion in Chemical Biology, 51, 130-137.
DOI Scopus10 WoS10 Europe PMC9
2019 Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., Popien, J., & Kaiser, T. (2019). Corrigendum: Multispectral flow cytometry: The consequences of increased light collection: Multispectral Flow Cytometry (Cytometry Part A, (2016), 89, 7, (681-689), 10.1002/cyto.a.22888). Cytometry Part A, 95(7), 803-804.
DOI Scopus1 WoS1 Europe PMC1
2017 Giesecke, C., Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., & Kaiser, T. (2017). Determination of background, signal-to-noise, and dynamic range of a flow cytometer: A novel practical method for instrument characterization and standardization. Cytometry Part A, 91(11), 1104-1114.
DOI Scopus27 WoS22 Europe PMC18
2016 Feher, K., von Volkmann, K., Kirsch, J., Radbruch, A., Popien, J., & Kaiser, T. (2016). Multispectral flow cytometry: The consequences of increased light collection. Cytometry Part A, 89(7), 681-689.
DOI Scopus21 WoS18 Europe PMC16
2015 Kühn, K., Obata, T., Feher, K., Bock, R., Fernie, A. R., & Meyer, E. H. (2015). Complete mitochondrial complex I deficiency induces an up-regulation of respiratory fluxes that is abolished by traces of functional complex I. Plant Physiology, 168(4), 1537-1549.
DOI Scopus95 WoS95 Europe PMC81
2014 Feher, K., Kirsch, J., Radbruch, A., Chang, H. D., & Kaiser, T. (2014). Cell population identification using fluorescence-minus-one controls with a one-class classifying algorithm. Bioinformatics, 30(23), 3372-3378.
DOI Scopus26 WoS25 Europe PMC19
2014 Feher, K., Lisec, J., Römisch-Margl, L., Selbig, J., Gierl, A., Piepho, H. P., . . . Willmitzer, L. (2014). Deducing hybrid performance from parental metabolic profiles of young primary roots of maize by using a multivariate diallel approach. Plos One, 9(1), 9 pages.
DOI Scopus20 WoS18 Europe PMC17
2012 Feher, K., Whelan, J., & Müller, S. (2012). Exploring multicollinearity using a random matrix theory approach. Statistical Applications in Genetics and Molecular Biology, 11(3), 35 pages.
DOI Scopus2 WoS2 Europe PMC2
2011 Jürchott, K., Guo, K. T., Catchpole, G., Feher, K., Willmitzer, L., Schichor, C., & Selbig, J. (2011). Comparison of metabolite profiles in U87 glioma cells and mesenchymal stem cells. Biosystems, 105(2), 130-139.
DOI Scopus7 WoS7 Europe PMC7
2011 Feher, K., Whelan, J., & Mller, S. (2011). Assessing modularity using a random matrix theory approach. Statistical Applications in Genetics and Molecular Biology, 10(1), 36 pages.
DOI Scopus4 WoS3 Europe PMC1

Year Citation
2012 Feher, K., Jürchott, K., & Selbig, J. (2012). Tailored strategies for the analysis of metabolomic data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7223 LNCS (pp. 82-89). Springer Berlin Heidelberg.
DOI

Year Citation
2019 Feher, K., Kaiser, T., Von Volkmann, K., & Wolf, S. (2019). 10337975, Method and system for characterizing particles using a flow cytometer. US.

Year Citation
2021 Feher, K. (2021). Comparing single cell datasets using DensityMorph.
DOI
2018 Coelho, S., Baek, J., Graus, M., Halstead, J., Nicovich, P., Feher, K., . . . Gaus, K. (2018). Single molecule localization microscopy with autonomous feedback loops for ultrahigh precision.
DOI

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor Using Machine Learning to identify non-coding markers of disease in Indigenous Australians Doctor of Philosophy Doctorate Full Time Miss Sehaj Kaur Dhariwal
2025 Co-Supervisor Using Machine Learning to identify non-coding markers of disease in Indigenous Australians Doctor of Philosophy Doctorate Full Time Miss Sehaj Kaur Dhariwal

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