Scientific computing
I work primarily in Python for scientific analysis, visualization and pipeline development, from exploring individual observations to processing large survey catalogs. I routinely work in Linux environments and use NERSC for large datasets and computationally intensive analyses. I also use Java for software development, HTML for web content and LaTeX for scientific writing, bringing these tools together to develop research software and present its results.








