Kaze W. K. Wong is a research assistant professor in the Department of Applied Mathematics and Statistics and a part-time research software engineer at the Data Science and AI Institute at Johns Hopkins University. He received his PhD degree from the Physics and Astronomy department at Johns Hopkins University in 2021, and his thesis was awarded the 2021 Gravitational Wave International Committee-Braccini Thesis Prize. After completing his PhD, he joined the Center for Computational Astrophysics at the Flatiron Institute in New York City as a Flatiron Research Fellow.
Wong has a broad research interest in many topics, centering around the interplay between deep learning and traditional methods, including but not limited to deep learning-enhanced MCMC sampling and generative modeling for heterogeneous datasets in astronomy. He is also a passionate advocate for building production-grade open-source scientific software to solve domain-specific problems.
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Meet our newest assistant research professor, whose passion for data science and software engineering is matched only by his commitment to the high jump!