Werner Van Geit was born in Antwerp, Belgium. He earned a Master’s degree in Informatics from the University of Ghent, focusing his thesis on building a Turing machine in a pulsed neural network computer.
As a researcher in Computational Neuroscience at the University of Antwerp, Werner studied Cerebellar Purkinje Neurons. He also developed software for automating the parameter optimization of neuronal models.
His career next took him to the Okinawa Institute of Science and Technology in Japan. Over three and a half years, he not only continued his research but also played a role in maintaining the High-Performance Computing infrastructure.
In 2011, Werner moved to Switzerland to contribute to the Blue Brain Project at the EPFL in Lausanne. There, his roles evolved from researcher and engineer in the single neuron model building pipeline to the group leader. In this position, he oversaw the creation and curation of electrical neuron models and morphologies, as well as the development and maintenance of relevant software.
In 2023, Werner joined the IT’IS Foundation as a Project Leader. His focus is on helping the development of a metamodeling framework for o2S2PARC.
| Isbister, J.B., Ecker, A., Pokorny, C., Bolaños-Puchet, S., Egas Santander, D., Arnaudon, A., Awile, O., Natali, B.Z., Alonso, J.B., Boci, E., Chindemi, G., Courcol, J.D., Damart, T., Delemontex, T., Dietz, A., Ficarelli, G., Gevaert, M., Herttuainen, J., Ivaska, G., Ji, W., Keller, D., King, J., Kumbhar, P., Lapere, S., Litvak, P., Mandge, D., Muller, E.B., Pereira, F., Planas, J., Ranjan, R., Reva, M., Romani, A., Rössert, C., Schürmann, F., Sood, V., Teska, A., Tuncel, A., Van Geit, W., Wolf, M., Markram, H., Ramaswamy, S. & Reimann, M.W. Modeling and simulation of neocortical micro- and mesocircuitry (Part II, Physiology and experimentation). eLife, 13:RP99693, 2026, doi:10.7554/eLife.99693.3 |
| Mandge, D., Tuncel, A., Jaquier, A., Kilic, I., Damart, T., Markram, H., Van Geit, W. & Ranjan, R. eFEL: electrophysiology feature extraction library. Bioinformatics, 42(6):btag328, Wren, J.(eds), 2026, doi:10.1093/bioinformatics/btag328 |
| Reimann, M.W., Bolaños-Puchet, S., Courcol, J.D., Egas Santander, D., Arnaudon, A., Coste, B., Delalondre, F., Delemontex, T., Devresse, A., Dictus, H., Dietz, A., Ecker, A., Favreau, C., Ficarelli, G., Gevaert, M., Herttuainen, J., Isbister, J.B., Kanari, L., Keller, D., King, J., Kumbhar, P., Lapere, S., Lazovskis, J., Lu, H., Ninin, N., Pereira, F., Planas, J., Pokorny, C., Riquelme, J.L., Romani, A., Shi, Y., Smith, J.P., Sood, V., Srivastava, M., Van Geit, W., Vanherpe, L., Wolf, M., Levi, R., Hess, K., Schürmann, F., Muller, E.B., Markram, H. & Ramaswamy, S. Modeling and simulation of neocortical micro- and mesocircuitry (Part I, anatomy). eLife, 13:RP99688, 2026, doi:10.7554/eLife.99688.3 |
| Reva, M., Arnaudon, A., Zbili, M., Makkeh, A., Markram, H., Goaillard, J.M. & Van Geit, W. Higher-order interactions in neuronal function: From genes to ionic currents in biophysical models. Proceedings of the National Academy of Sciences, 122(40):e2500048122, 2025, doi:10.1073/pnas.2500048122 |
| Arnaudon, A., Reva, M., Zbili, M., Markram, H., Van Geit, W. & Kanari, L. Controlling morpho-electrophysiological variability of neurons with detailed biophysical models. iScience, 26(11):108222, Elsevier, 2023, doi:10.1016/j.isci.2023.108222 |
| Iavarone, E., Simko, J., Shi, Y., Bertschy, M., García-Amado, M., Litvak, P., Kaufmann, A.K., O'Reilly, C., Amsalem, O., Abdellah, M., Chevtchenko, G., Coste, B., Courcol, J.D., Ecker, A., Favreau, C., Fleury, A.C., Van Geit, W., Gevaert, M., Guerrero, N.R., Herttuainen, J., Ivaska, G., Kerrien, S., King, J.G., Kumbhar, P., Lurie, P., Magkanaris, I., Muddapu, V.R., Nair, J., Pereira, F.L., Perin, R., Petitjean, F., Ranjan, R., Reimann, M., Soltuzu, L., Sy, M.F., Tuncel, M.A., Ulbrich, A., Wolf, M., Clascá, F., Markram, H. & Hill, S.L. Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep. Cell Reports, 42(3):112200, 2023, doi:10.1016/j.celrep.2023.112200 |
| Reva, M., Rössert, C., Arnaudon, A., Damart, T., Mandge, D., Tuncel, A., Ramaswamy, S., Markram, H. & Van Geit, W. A universal workflow for creation, validation, and generalization of detailed neuronal models. Patterns, 4(11):100855, 2023, doi:10.1016/j.patter.2023.100855 |
| Wei, Y., Nandi, A., Jia, X., Siegle, J.H., Denman, D., Lee, S.Y., Buchin, A., Van Geit, W., Mosher, C.P., Olsen, S. & Anastassiou, C.A. Associations between in vitro, in vivo and In silico cell classes in mouse primary visual cortex. Nature Communications, 14(1):2344, 2023, doi:10.1038/s41467-023-37844-8 |
| Weise, K., Worbs, T., Kalloch, B., Souza, V.H., Jaquier, A.T., Van Geit, W., Thielscher, A. & Knösche, T.R. Directional sensitivity of cortical neurons towards TMS induced electric fields. Imaging Neuroscience, 2023, doi:10.1162/imag_a_00036 |
| Chindemi, G., Abdellah, M., Amsalem, O., Benavides-Piccione, R., Delattre, V., Doron, M., Ecker, A., Jaquier, A.T., King, J., Kumbhar, P., Monney, C., Perin, R., Rössert, C., Tuncel, A.M., Van Geit, W., DeFelipe, J., Graupner, M., Segev, I., Markram, H. & Muller, E.B. A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications, 13(1):3038, 2022, doi:10.1038/s41467-022-30214-w |
| Kanari, L., Dictus, H., Chalimourda, A., Arnaudon, A., Van Geit, W., Coste, B., Shillcock, J., Hess, K. & Markram, H. Computational synthesis of cortical dendritic morphologies. Cell Reports, 39(1):110586, 2022, doi:10.1016/j.celrep.2022.110586 |
| Nandi, A., Chartrand, T., Van Geit, W., Buchin, A., Yao, Z., Lee, S.Y., Wei, Y., Kalmbach, B., Lee, B., Lein, E., Berg, J., Sümbül, U., Koch, C., Tasic, B. & Anastassiou, C.A. Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Cell Reports, 40(6):111176, 2022, doi:10.1016/j.celrep.2022.111176 |
| Shapira, G., Marcus-Kalish, M., Amsalem, O., Van Geit, W., Segev, I. & Steinberg, D.M. Statistical emulation of neural simulators: Application to neocortical L2/3 large basket cells. Frontiers in Big Data, 5:789962, 2022, doi:10.3389/fdata.2022.789962 |
| Sáray, S., Rössert, C.A., Appukuttan, S., Migliore, R., Vitale, P., Lupascu, C.A., Bologna, L.L., Van Geit, W., Romani, A., Davison, A.P., Muller, E., Freund, T.F. & Káli, S. HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data. PLOS Computational Biology, 17(1):e1008114, Lytton, W.W.(eds), 2021, doi:10.1371/journal.pcbi.1008114 |
| Iavarone, E., Yi, J., Shi, Y., Zandt, B.J., O'Reilly, C., Van Geit, W., Rössert, C., Markram, H. & Hill, S.L. Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons. PLOS Computational Biology, 15(5):e1006753, Lytton, W.W.(eds), 2019, doi:10.1371/journal.pcbi.1006753 |
| Migliore, R., Lupascu, C.A., Bologna, L.L., Romani, A., Courcol, J.D., Antonel, S., Van Geit, W.A.H., Thomson, A.M., Mercer, A., Lange, S., Falck, J., Rössert, C.A., Shi, Y., Hagens, O., Pezzoli, M., Freund, T.F., Kali, S., Muller, E.B., Schürmann, F., Markram, H. & Migliore, M. The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow. PLOS Computational Biology, 14(9):e1006423, Public Library of Science San Francisco, CA USA, 2018, doi:10.1371/journal.pcbi.1006423 |
| Masoli, S., Rizza, M.F., Sgritta, M., Van Geit, W., Schürmann, F. & D'Angelo, E. Single neuron optimization as a basis for accurate biophysical modeling: The case of cerebellar granule cells. Frontiers in Cellular Neuroscience, 11, 2017, doi:10.3389/fncel.2017.00071 |
| Amsalem, O., Van Geit, W., Muller, E., Markram, H. & Segev, I. From neuron biophysics to orientation selectivity in electrically coupled networks of neocortical L2/3 large basket cells. Cerebral Cortex, 26(8):3655-3668, Oxford University Press, 2016, doi:10.1093/cercor/bhw166 |
| Van Geit, W., Gevaert, M., Chindemi, G., Rössert, C., Courcol, J.D., Muller, E.B., Schürmann, F., Segev, I. & Markram, H. BluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience. Frontiers in Neuroinformatics, 10(17), 2016, doi:10.3389/fninf.2016.00017 |
| Markram, H., Muller, E., Ramaswamy, S., Reimann, M.W., Abdellah, M., Sanchez, C. .A., Ailamaki, A., Alonso-Nanclares, L., Antille, N., Arsever, S., Kahou, G.A. .A., Berger, T.K., Bilgili, A., Buncic, N., Chalimourda, A., Chindemi, G., Courcol, J.D., Delalondre, F., Delattre, V., Druckmann, S., Dumusc, R., Dynes, J., Eilemann, S., Gal, E., Gevaert, M.E., Ghobril, J.P., Gidon, A., Graham, J.W., Gupta, A., Haenel, V., Hay, E., Heinis, T., Hernando, J.B., Hines, M., Kanari, L., Keller, D., Kenyon, J., Khazen, G., Kim, Y., King, J.G., Kisvarday, Z., Kumbhar, P., Lasserre, S., Le Bé, J.V., Magalh\~aes, B.R.C., Merchán-Pérez, A., Meystre, J., Morrice, B.R., Muller, J., Mu\~noz-Céspedes, A., Muralidhar, S., Muthurasa, K., Nachbaur, D., Newton, T.H., Nolte, M., Ovcharenko, A., Palacios, J., Pastor, L., Perin, R., Ranjan, R., Riachi, I., Rodríguez, J.R., Riquelme, J.L., Rössert, C., Sfyrakis, K., Shi, Y., Shillcock, J.C., Silberberg, G., Silva, R., Tauheed, F., Telefont, M., Toledo-Rodriguez, M., Tränkler, T., Van Geit, W., Díaz, J.V., Walker, R., Wang, Y., Zaninetta, S.M., DeFelipe, J., Hill, S.L., Segev, I. & Schürmann, F. Reconstruction and simulation of neocortical microcircuitry. Cell, 163(2):456-492, 2015, doi:10.1016/j.cell.2015.09.029 |
| Ramaswamy, S., Courcol, J.D., Abdellah, M., Adaszewski, S.R., Antille, N., Arsever, S., Atenekeng, G., Bilgili, A., Brukau, Y., Chalimourda, A., Chindemi, G., Delalondre, F., Dumusc, R., Eilemann, S., Gevaert, M.E., Gleeson, P., Graham, J.W., Hernando, J.B., Kanari, L., Katkov, Y., Keller, D., King, J.G., Ranjan, R., Reimann, M.W., Rössert, C., Shi, Y., Shillcock, J.C., Telefont, M., Van Geit, W., Villafranca Diaz, J., Walker, R., Wang, Y., Zaninetta, S.M., DeFelipe, J., Hill, S.L., Muller, J., Segev, I., Schürmann, F., Muller, E.B. & Markram, H. The neocortical microcircuit collaboration portal: A resource for rat somatosensory cortex. Frontiers in Neural Circuits, 9:44, Frontiers Media SA, 2015, doi:10.3389/fncir.2015.00044 |
| Van Geit, W., De Schutter, E. & Achard, P. Automated neuron model optimization techniques: A review. Biological Cybernetics, 99(4-5):241-251, 2008, doi:10.1007/s00422-008-0257-6 |
| Van Geit, W., Achard, P. & De Schutter, E. Neurofitter: A parameter tuning package for a wide range of electrophysiological neuron models. Frontiers in Neuroinformatics, 1:89, Frontiers, 2007, doi:10.3389/neuro.11.001.2007 |
| Cassarà, A.M., Neufeld, E., García Ordóñez, J. & Van Geit, W. \mkbibemphIn silico safety and performance assessment of vagus nerve stimulation with metamodeling-based uncertainty/variability quantification. In Abstract Collection of the 34th Annual Computational Neuroscience Meeting (CNS*2025), Florence, Italy, July 5–9, 2025, 54:S66—S67, Journal of Computational Neuroscience |
| García Ordóñez, J., Van Geit, W., Cassarà, A.M., Neufeld, E. & Kuster, N. ID\# 1906120 Intelligent Meta-Modeling and Rapid Stimulation Predictors Enable In-Silico Energy and Performance Optimization of Bioelectronic Implants. In Proceedings of the North American Neuromodulation Society 28th Annual Meeting (NANS 2025), Orlando, Florida, USA, January 30–February 01, 2025, 28(7):S124, Neuromodulation: Technology at the Neural Interface, doi:10.1016/j.neurom.2025.08.233 |
| Neufeld, E., Van Geit, W., García Ordóñez, J., Cassarà, A.M. & Kuster, N. Biophysics-based surrogate modeling for neural interface optimization, activity mapping, and closed-loop control of electroceuticals. In Proceedings of the 6th International Brain Stimulation Conference, Kobe, Japan, February 23–26, 2025, 18:296-297, Brain Stimulation, doi:10.1016/j.brs.2024.12.246 |
| Ordóñez, J.G., Newton, T.H., Cassarà, A.M., Van Geit, W., Neufeld, E. & Kuster, N. Intelligent metamodeling for rapid neural interface optimization through enhanced activation prediction. In Abstract Collection of the Swiss Society for Neuroscience 25th Annual Meeting (SSN 2025), Lausanne, Switzerland, February 6–7, 2025, pages 127 |
| Tharayil, J.J., Cassarà, A.M., Lloyd, B., Farcito, S., Kuster, N., Neufeld, E., Reimann, M. & Van Geit, W. Insights on neural sensing from biophysically-detailed models of neural circuits. In Proceedings of the 6th International Brain Stimulation Conference, Kobe, Japan, February 23–26, 2025, 18:296, Brain Stimulation, doi:10.1016/j.brs.2024.12.245 |
| Van Geit, W., Bujard, C., Bisgaard, M.R., Crespo-Valero, P., Neufeld, E. & Kuster, N. o²S²PARC as a computational neurosciences platform: advanced metamodelling for optimizing stimulation selectivity, power efficiency and intelligent control. In Abstract Collection of the Swiss Society for Neuroscience 25th Annual Meeting (SSN 2025), Lausanne, Switzerland, February 6–7, 2025 |
| Van Geit, W., García Ordóñez, J., Bisgaard, M.R., Bujard, C., Crespo-Valero, P., Neufeld, E. & Kuster, N. Extending o²S²PARC with advanced meta-modelling for computational neuroscience. In Abstract Collection of the Zentrum für Neurowissenschaften Symposium 2025 (ZNZ Symposium 2025), Zurich, Switzerland, September 11, 2025 |
| Gemar, V., Wolfart, L., Alashqar, A., Hu, Z., García Ordóñez, J., Eskovier, B., Newton, T.H., Van Geit, W., Neufeld, E., Kuster, N. & Rowald, A. Optimizing targeted spinal cord stimulation to improve lower limb motor function in a digital twin population. In Abstract Collection of the Annual Meeting of the Society for Neurosciences Annual Meeting (Neuroscience 2024), Chicago, IL, USA, October 05–09, 2024 |
| Neufeld, E., Tharayil, J., Cassarà, A.M., Bolt, S., Van Geit, W. & Kuster, N. Shining light on compound action potential recording and electrical impedance tomography for the closed-loop control of bioelectronic devices. In Abstract Collection of the Federation of European Neuroscience Societies (FENS) Forum 2024, Vienna, Austria, June 25–29, 2024 |
| Van Geit, W., Bujard, C., Bisgaard, M.R., Crespo-Valero, P., Neufeld, E. & Kuster, N. Advanced metamodelling on the o²S²PARC computational neurosciences platform facilitates stimulation selectivity and power efficiency optimization and intelligent control. In Abstract Collection of the Federation of European Neuroscience Societies (FENS) Forum 2024, Vienna, Austria, June 25–29, 2024 |
| Barros-Zulaica, N., Kanari, L., Sood, V., Rai, P., Arnaudon, A., Shi, Y., Mandge, D., Van Geit, W., Zbili, M., Reva, M., Boci, E., Perin, R., Pezzoli, M., Benavides-Piccione, R., DeFelipe, J., Mertens, E., De Kock, C., Segev, I., Markram, H. & Reimann, M.W. A detailed model for understanding the human neocortex. bioRxiv, 2026, doi:10.64898/2026.01.29.702592 |
| Guidon, M., Kaiser, D., Iavarone, E., Anderegg, S., Bisgaard, M., Bujard, C., Cassarà, A.M., Crespo-Valero, P., Drobuliak, M., Fasse, A., Hrytsuk, Y., Karimi, F., Maiz, O., Neagu, A., Newton, T., Ordonez, J., Oetiker, T., Pascual, I., Querido, J., Regel, S.J., Steiner, M., Van Geit, W., Zhuang, K., Weitz, A., Chavannes, N., Kuster, N. & Neufeld, E. Shaping a collaborative, sustainable, accessible, and reproducible future for computational modeling. bioRxiv, 2025, doi:10.1101/2025.06.12.656959 |
| Isbister, J.B., Ecker, A., Pokorny, C., Bola\~nos-Puchet, S., Egas Santander, D., Arnaudon, A., Awile, O., Barros-Zulaica, N., Blanco Alonso, J., Boci, E., Chindemi, G., Courcol, J.D., Damart, T., Delemontex, T., Dietz, A., Ficarelli, G., Gevaert, M., Herttuainen, J., Ivaska, G., Ji, W., Keller, D., King, J., Kumbhar, P., Lapere, S., Litvak, P., Mandge, D., Muller, E.B., Pereira, F., Planas, J., Ranjan, R., Reva, M., Romani, A., Rössert, C., Schürmann, F., Sood, V., Teska, A., Tuncel, A., Van Geit, W., Wolf, M., Markram, H., Ramaswamy, S. & Reimann, M.W. Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation. bioRxiv, 2023, doi:10.1101/2023.05.17.541168 |
| Buccino, A.P., Damart, T., Bartram, J., Mandge, D., Xue, X., Zbili, M., Gänswein, T., Jaquier, A., Emmenegger, V., Markram, H., Hierlemann, A. & Van Geit, W. A Multi-Modal Fitting Approach to Construct Single-Neuron Models with Patch Clamp and High-Density Microelectrode Arrays. bioRxiv, 2022, doi:10.1101/2022.08.03.502468 |
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https://orcid.org/0000-0002-2915-720X
