Tyler Anderson

Tyler Anderson is a Computer Systems Engineer working with the Physics & X-Ray Science Computing group at LBNL. He works on offline computing for the LUX-ZEPLIN (LZ) dark matter direct detection experiment, of which is he also a member. Tyler's responsibilities include LZ's bias mitigation "salting" framework, data analysis and reconstruction software, event displays, database management, and some machine learning tasks. He is also currently interested in and researching data movement tools such as Rucio and Globus. He has a background in physics and computing, receiving his bachelors degree in Applied Physics from UC Davis in 2017, and his doctorate in Physics from Stanford University in 2023.