Keven Ren

Alumni

University of Melbourne

Biography

Simulating + modeling the rare, luminous high z galaxies/quasars and investigating the properties of these objects. PhD in Computational Astrophysics with a quantitative background. Simulations with extensive statistical analysis. Building informed models to bridge the gap between theory and observations. Keen interest in a wide range of technology - machine learning (sklearn, tensorflow) both signals and vision; enabling data accessibility with interactive webapps (dash, react/js)