This conference will provide the opportunity for researchers in observation, theory, and numerical simulation to discuss the implications of clustering across all scales. The conference will provide a venue to compare the results of the latest simulations to analytic models and to the observed clustering of matter. Finally, the conference will provide direction for future efforts in the field of galaxy evolution and cosmology from the clustering of large-scale structure.
My study in cosmology focuses on the formation of galaxies in the large-scale structure of the Universe. Cosmology is a data-driven science. I develop the necessary software and tools that can efficiently handle these data on platforms from laptops to supercomputers, including (1) massively parallel software to solve gravity and hydrodynamics on tens of thousands of computing nodes, (2) tools to visualize density estimation of large particle datasets with hundreds of billions of particles, and (3) algorithms to understand the clustering of galaxies. I also contribute to open source data science software projects as a user developer. I strongly believe in the power of adequate tools in data-driven science research.