Zǐwēi Huáng 黃子威
Employment
Since 2023
Scientific Developer at Berens Lab, Hertie Institute for AI in Brain Health, University of Tübingen.
Current Projects
Neuronal morphology
- skeliner A lightweight Python neuronal mesh skeletonizer.
- pywarper Conformal mapping-based warping of retina neuronal morphologies with Python based on and improved upon the MATLAB implementations (Sümbül, et al. 2014)..
Biophysical modeling
- jaxley-mech a library of ion channels and synapses for biophysical neuron models, built on jaxley See also: Deistler et al. (2024) .
Statistics
- pycircstat2 a rework of the Python package for circular statistics;
2022-2023
Postdoc at Berens Lab, focused on predicting stroke rehabilitation using statistical modeling.
Education
2016-2022
Ph.D. in Neuroscience, supervised by Philipp Berens, at the University of Tübingen, Germany. I developed RFEst, a Python toolbox for neuronal receptive field estimation See also: Huang et al. (2021) . I also studied dendritic signal integration in various types of mouse retinal ganglion cells in collaboration with Yanli Ran, et al.
2013-2015
M.Sc in Neuroscience at the Norwegian University of Science and Technology (NTNU), Norway. Completed my thesis on two-population grid cell network See also: Dunn, et al. (2017) at the Kavli Institute for Systems Neuroscience under the supervision of Benjamin Dunn.
2009-2013
B.Sc in Applied Psychology at the Guangdong University of Foreign Studies, China.
Publication
See: Semantic Scholar