William Levine

William Levine has a diverse work experience in various roles and industries. William most recently worked as a Machine Learning Engineer at Qeexo starting in 2017. Prior to that, they were a Research Assistant at Carnegie Mellon University from 2009 to 2016, where they worked on particle physics collaborations and developed a modified nearest neighbors algorithm for signal-background separation. Additionally, in 2015, William worked as a Student Developer at the Ruby Science Foundation, where they simplified the installation process for the NMatrix linear algebra library for Ruby.

William Levine completed their Bachelor's Degree in Physics at the University of Virginia from 2005 to 2009. Following that, they pursued their Doctor of Philosophy (Ph.D.) in Physics at Carnegie Mellon University, which they successfully received in 2016.