Description: Exploring math and the world.
Recently finished an internship with Microsoft Research Amsterdam from August 2022 until October 2022!
PhD student at AMLab and GRAPPA in the AI4Science initiative. The goal of my research is to advance simulation-based inference (aka likelihood-free inference) so it becomes practically useful for physicists such as on inference tasks related to gravitational waveforms, multi-messenger astrophysics, the cosmic microwave background, and dark matter searches. This requires the development of new tools in implicit modeling and improved data-driven simulators. Generally, my focus is on applying deep learning to
Advised by Max Welling, Samaya Nissanke , Christoph Weniger , and Patrick Forré. I am the primary developer of a simulation-based inference library called swyft . I am also an ELLIS PhD student working with Max Welling and Gilles Louppe .