Chi-kwan Chan is a computational astrophysicist working with cutting edge technologies to advance both theoretical and observational research. He has developed new algorithms to study magnetohydrodynamic turbulence, used graphics processing units GPUs) to accelerate general relativistic ray tracing, designed cloud computing infrastructures to handle big observational data, and applied machine learning algorithms to speed uand automate data processing. Some of Chi-kwan's active projects include simulating and understanding accretion disks, capturing images of black holes, and visualizing astrophysical simulations in virtual reality. A true wildcat, Chi-kwan received his bachelors and doctoral degrees from the University of Arizona. He is also a Data Science Fellow at the UA Data Science Institute.