Paul Tiede obtained his Ph.D. degree at the University of Waterloo and Perimeter Institute in 2021. Afterward, he joined the Harvard & Smithsonian | Center for Astrophysics and the Black Hole Initiative. He is interested in the intersection of accretion modeling and statistical modeling. As a member of the Event Horizon Telescope, he has developed modeling and simulation techniques for analyzing time-variable emission or "flares" that could enable high-precision measurements of gravity. Additionally, he is a core developer of numerous software packages for the EHT written in Julia, C++, and Python.
In 2019 the Event Horizon Telescope (EHT) Collaboration produced the first image of a black hole. This talk details how Julia has been an essential tool for EHT black hole imaging and the advancement of black hole science. I will demonstrate how Julia’s features such as multiple dispatch, differentiable programming, and composability have enabled orders of magnitude performance improvement, moving black hole imaging from clusters to a single laptop.