I joined the group in 2018 for my PhD on scalable approximate Bayesian methods for image inverse problems. I defended my PhD in 2022 and started postdoctoral research after that.  My current research interests are the exploration of efficient Bayesian methods to train Spiking Neural Networks (SNNs) and the use these methods solve Quantum imaging problems, such as neuromorphic imaging, and single photon avalanche diode arrays (SPAD) based image problems. More info on my homepage.