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 primary research seeks to develop algorithms, data structures, and runtimes that allow programmers to write deterministic, efficient parallel programs. His previous research includes developing a work-efficient parallel breadth-first search algorithm and an efficient parallel bag data structure, designing a theoretical framework for analyzing Cilk programs with nonconstant-time reducer hyperobjects, developing runtime mechanisms to support deterministic parallel random-number generation, and designing linguistic and runtime support for on-the-fly pipeline parallelism. 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.