〰️ Deeply passionate about gravitational waves and probing fundamental physical phenomena at all scales using GWs. 🚀 Creator and developer of PEREGRINE, a sequential simulation based inference pipeline for gravitational waves parameter inference. 🚀 Contributor to the matched filtering source detection code AMICO, used in the Euclid telescope pipeline to detect galaxy clusters. 🎓 PhD scholar at GRAPPA, University of Amsterdam researching on : ☑️ Gravitational waves parameter inference using ML for current and third generation detections. ☑️ Fundamental physical phenomena from gravitational waves selected populations of compact binary coalescences. ☑️ Detection and identification of persistent as well as transient gravitational waves. ⏮️ MSc research at ITA, ZAH, Heidelberg on galaxy cluster detection using optimized matched filtering via AMICO. Passionate about gravity and the theory of patterns with an acute interest in building state of the art AI algorithms.