Nolan Smyth

Nolan is a data-driven phenomenologist who uses computational techniques to probe the dark universe. He works at the intersection of machine learning and astrophysics, searching for and characterizing populations of compact objects.

Nolan is searching for free floating planets (FFPs), rogue worlds not bound to any star. Without a stellar host, the usual exoplanet detection techniques (transit, doppler etc.) are not effective. Instead, gravitational microlensing, where a planet’s gravity temporarily magnifying the light of a distant star, is the best detection method. Nolan works to optimize the sensitivity of upcoming microlensing surveys, like the one performed by the Nancy Grace Roman Space Telescope. He is also interested in searching for undetected microlensing signals in archival data.

Prior to joining Université de Montréal and Mila as a postdoctoral fellow, Nolan completed his PhD at the University of California, Santa Cruz working with Prof. Stefano Profumo. As a graduate student, Nolan investigated the phenomenology of primordial black holes (PBHs). These black holes might form in the early universe and can comprise a significant fraction of the dark matter. PBHs can also change the evolution of stellar clusters and impact the formation rates of the first stars.

Nolan is enthusiastic about strong mentorship through the process of writing. To this end, he created a series of interactive workshops in partnership with the STEM Diversity Program to work with students applying to graduate programs and high-stakes research fellowships.