I am a postdoctoral researcher at the University of Pennsylvania as part of Mathew Madhavacheril's group. Before this, I completed my PhD under the supervision of Dick Bond and Renee Hlozek at the University of Toronto and the Canadian Institute for Theoretical Astrophysics.
My research focuses on the large-scale structure of the Universe and the study of dark matter models from particle physics. I use a mix of data analysis, numerical simulations, and analytic techniques. Below are featured research projects.
As a data-oriented cosmologist, I look to unveil distinctive dark matter properties using observations of the cosmic microwave background and galaxy surveys. A model of particular interst to me is ultralight dark matter which behaves as a wave rather than a particle and clusters differently from cold dark matter.
One of the ways with which I can make testable predictions for a cosmological model written on a black board is to translate its equations in computer language. After much debugging, this allows me to create a mock Universe which I can compare to our own.
An important component of my work is to improve the speed and accuracy of my statistical analysis through the use of parallel computing, emulators and just-in-time compiling (e.g. Numba). Writing open-source, efficient code will be essential as the amount of data available to cosmologists skyrockets in the next few years.