My PhD is focused on measuring the intrinsic alignment of galaxies, which is a source of potential contamination to measurements of weak gravitational lensing, but also itself an interesting tracer of galaxy evolution and cosmology. I am an active member of the Dark Energy Science Collaboration. I am also actively researching the use of machine learning methods to accelerate the inference of cosmological parameters from data.
Previously, I have also worked on developing a system to monitor transitional millisecond pulsars. My current and past research has given me experience working with large observational datasets from the Dark Energy Survey and Fermi-LAT, and I hope to have the opportunity to work with Rubin Observatory data in the near future when it is available.
My PhD is focused on measuring the intrinsic alignment of galaxies, which is a source of potential contamination to measurements of weak gravitational lensing, but also itself an interesting tracer of galaxy evolution and cosmology. I am an active member of the Dark Energy Science Collaboration. I am also actively researching the use of machine learning methods to accelerate the inference of cosmological parameters from data.
Previously, I have also worked on developing a system to monitor transitional millisecond pulsars. My current and past research has given me experience working with large observational datasets from the Dark Energy Survey and Fermi-LAT, and I hope to have the opportunity to work with Rubin Observatory data in the near future when it is available.
Outside my research, I am passionate about science communication to the general public and computing technologies, ranging from hardware and chip architecture to software and AI. My hobbies include cooking, fitness, and music.
Outside my research, I am passionate about science communication to the general public and computing technologies, ranging from hardware and chip architecture to software and AI. My hobbies include cooking, fitness, and music.