Tao B. Schardl is a Ph.D. candidate in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT). He is a member of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), and works in the Supertech group with Professor Charles Leiserson. His research seeks to simplify writing efficient programs for current and future computers. His previous research includes efficient parallel graph algorithms, linguistic and runtime support for deterministic parallel random-number generation and pipeline computation, and race detectors and scalability analyzers that are provably good as well as both provably and empirically efficient. Mr. Schardl received his Bachelor of Science in Computer Science and Electrical Engineering from MIT in 2009 and his Masters of Engineering in Computer Science and Electrical Engineering from MIT in 2010.