My name is Siddharth Satpathy, and I am a Ph.D. graduate student in the McWilliams Center for Cosmology and Department of Physics, Carnegie Mellon University (CMU). I am also a candidate for Masters in Machine Learning in Carnegie Mellon University. My research involves the investigation of the large scale structure of our Universe and the evidence of dark energy. In my research, I focus on the use of numerical and computational tools to probe large datasets of galaxies and quasars to extract information about the structure and the evolution of our Universe. I aim to finish my PhD in Astrophysics and Master’s in Machine Learning in Spring 2019.
In my coding, I predominantly use python, C and C++. I also use a lot of parallel processing, and have experience of working with high performance computing clusters. For computationally intensive tasks, I use python and the front end, machine level languages like C or C++ as the skeleton, and Cython as the bridge. Additionally, I do a lot of work with predictive analysis, clustering, imputation and prediction of data. I use various tools in machine learning and deep learning in my analyses. Some of the software that I have developed can be found at https://github.com/sidd0529.
You can find me at firstname.lastname@example.org.