
About me
I'm Nishant - a computational neuroscientist and research engineer with a PhD from Radboud University at the Donders Institute. My work sits at the intersection of single-neuron electrophysiology, neuromodulation, and scalable machine learning pipelines for high-dimensional biological data.
During my PhD, I developed analysis frameworks to study how neuromodulatory inputs shape cell-type-specific information transfer in cortical circuits. I also worked on reproducible open-source workflows and FAIR data practices through an MSCA-funded secondment at the Netherlands eScience Center.
I'm currently exploring roles in academia, industry R&D, and research engineering where I can contribute to computational modelling, neural data analysis, and robust scientific infrastructure.
Recent publications
*Joshi, N.*, van Der Burg, S., Celikel, T., & Zeldenrust, F. (2025). Neuronal identity is not static: An input-driven perspective, PLOS Computational Biology, 21, e1013821, doi:10.1371/journal.pcbi.1013821
View source →*Joshi, N.*, Yan, X., ..., Celikel, T., & Zeldenrust, F. (2026). Neuromodulatory Control of Cortical Function: Cell-Type Specific Regulation of Neuronal Information Transfer, bioRxiv, doi:10.1101/2026.03.04.669845v1
View source →Connect
You can find me on GitHub, LinkedIn, or via Google Scholar.