United Kingdom
Hey👋🏻 I’m a PhD student in Computational Neuroscience at the University of Oxford. Previously, I studied Bioinformatics at TUM (Technical University of Munich) and LMU in Germany, and was a visiting student at UC Berkeley. I’m passionate about using computational methods to advance our understanding of how the brain works. Through coursework and research experiences, I’ve gained skills in high-dimensional data analysis, machine learning, and the mathematical modeling of biological systems.
@ Dynamical Inference Lab (PI: Steffen Schneider) Building machine learning models to better understand neural computations.
@ Theis Lab Working on: - pertpy, a framework for the analysis of large-scale single-cell perturbation experiments with deep learning models: https://pertpy.readthedocs.io/en/stable/ - ehrapy, a framework for exploratory end-to-end analysis of heterogeneous epidemiology and electronic health record data: https://ehrapy.readthedocs.io/en/stable/
@ Decision and Bayesian Computation Unit | Lab of Jean-Baptiste Masson Worked on a benchmark study for automated pose estimation pipelines for drosophila larvae as part of a behavioral prediction pipeline.
@Zielinski Lab Analyzed high-dimensional single-cell RNA sequencing data within the realm of immunology.
@ Computation in Neural Circuits Group | Lab of Prof. Dr. Julijana Gjorgjieva Investigated the impact of spontaneous activity in the retina before eye-opening on neurodevelopment, using computational techniques. Resulted in a poster presentation at the COSYNE Conference 2023.