Michael Paciullo
@map9959
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Work Experience
Scientific Computing Intern
Flatiron Institute•  May 2023 - Present
Flatiron Institute, Scientific Computing Core Implemented and benchmarked parallel high-performance large matrix decompositions with CUDA and SYCL Improved LDL^T factorization performance with high-performance GPU computing by up to 150x over CPUs (https://github.com/map9959/ldlt-benchmark) Communicated results to an interdisciplinary work environment to improve organizational performance
Software Engineer
Columbia University Internet Real Time Lab•  June 2019 - August 2019
Measured voice delay in the P.25 audio codec with Python and C, helped debug and rebuild adelay, a program written in C that calculates the delay between two audio channels in a single file, wrote a paper and submitted to the Regeneron Science Talent Search.
Education
New York University (NYU), New York
Computer Science, BA•  August 2020 - Present
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