I'm a postdoctoral researcher at Université de Montréal and Mila. My work lies at the intersection of machine learning and astrophysics.

I study free-floating planets (FFPs), rogue worlds not bound to any star, using gravitational microlensing. Currently, I am building a machine learning framework for detecting microlensing events using Bayesian evidence networks in tandem with fast inference using neural posterior estimation. With upcoming surveys like the Nancy Grace Roman Space Telescope in mind, this approach offers a scalable path toward real-time analysis of large astrophysical time-series datasets.

During my PhD at the University of California, Santa Cruz, I investigated the phenomenology of primordial black holes (PBHs), exploring their role as dark matter candidates and their impacts on stellar cluster evolution and early star formation. Beyond research, I have worked to develop interactive workshops to support students applying to graduate programs and research fellowships.

I am concerned about artificial intelligence as an existential threat to humanity. Whether or not you're already interested in AI safety, I highly recommend watching this short film, which is grounded in the latest AI safety research.