Short Biography:

Tyler Chang is a Senior Software Engineer in the San Francisco Bay Area, and an independent researcher in numerical optimization, algorithms, and scientific machine learning. He was formerly a postdoc at Argonne National Laboratory, and before that he was the Cunningham doctoral fellow at Virginia Tech, where he completed his Ph.D. in Computer Science. He has published over 30 peer-reviewed research papers on multiobjective optimization, scientific machine learning, high-performance computing, numerical algorithms, and various applications thereof. He is also the lead developer and (co)maintainer of several open source projects, including ParMOO and DelaunaySparse. His research interests include approximation theory, blackbox optimization, computational geometry, and high-performance computing.

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