Research

I am a current PhD student at the Institute for Adaptive and Neural Computation, University of Edinburgh supervised by Dr. Matthias Hennig. My research interests lie at the intersection of computational neuroscience and machine learning. In my research, I mainly focus on improving and applying deep generative models, analysing large-scale extracellular recordings, and developing novel software tools for running and benchmarking automated spike sorters.

News

• New paper: SpikeForest: reproducible web-facing ground-truth validation of automated neural spike sorters.
• New paper: SpikeInterface, a unified framework for spike sorting.
• I was awarded a travel grant to attend NeurIPS.
• Our paper Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference was accepted at NeurIPS 2019.
• I attended the Machine Learning Summer Series (MLSS) 2019 in London.