Hello, I'm Dillon.
Astrophysicist. Race Strategist. Python Enthusiast.
Hello, that's me!
I'm a 26 year old PhD student at University of Pennsylvania in Astrophysics and Cosmology. I'm driven to understand the dynamics of the cosmos and the nature of Dark Energy.
I work with extremely large datasets on a regular basis and imploy state of the art machine learning, statistical tools, and image analysis to make statements about the universe.
I am also passionate about analysis, vizualization, and manipulation of large datasets across other disciplines.
High performance computing
Extensive experience with high performance computing on clusters. Parallelization on both CPU and GPU clusters. Additionally worked in efficiency optimization and large file data transfer techniques.
I have worked as lead strategist for the Dyson Racing Team, Bentley Racing Team and Oryx Racing Team. This has envolved developing a suite of live data analysis and strategy tools that optimize risk and facilitate quick and informed decision making. Live data stream ingestion and vizualization. Additionaly I work as part of a gravitational wave (GW) followup team which optimizes use of the Dark Energy Camera for detection of GW Sources
Large Datasets, Data Analysis/ Visualization
I work on a daily basis with the Dark Energy Survey database of over 4 petabytes of images. Data reduction, manipulation, transfer, and precision anlysis using state of the art statistical tools. Develop custom algorithims for simulating and making measurements of the astrophysical data.
I employ a number of machine learning algorithms in my daily work, specifically neural networks to perform object classification and detection. I have extended deep learning neural networks on datasets outside of astrophysics.