Dion is a PhD student in the Department of Applied Mathematics and Applied Physics. He is interested in PDEs, numerics, and their applications to climate science. He graduated from Yale-NUS (NUS: National University of Singapore) College with a Bachelor of Science and a major in Mathematical, Computational and Statistical Sciences (MCS). In his undergraduate years he mainly worked with the Unified Transform Lab to further develop the Unified Transform (Fokas) Method for solving PDEs.
See also my Github profile and ORCID.
Biography
BSc (Hons) - Mathematical, Computational and Statistical Sciences (Minor in Global Affairs), Yale-NUS College, 2021
Publications
Ho, D. J. X., & Pincus, R., 2026. Two-Streams Improved: A Physics-Guided Data-Driven Approach. Revised for J. Adv. Model. Earth Syst. Jun 2026. Preprint at doi:10.22541/essoar.176487419.97424416/v3
Ho, D. J. X., G. L. J. Rong, N. Shrivastava, H. Abichandani, P. C. Ng, and X. Miao, 2025. MS-GAGA: Metric-Selective Guided Adversarial Generation Attack,” accepted in Proc. BMVC Workshop on Privacy, Fairness, Accountability and Transparency in Computer Vision (WPFATCV), doi:10.48550/arXiv.2510.12468
Lee, G. J. R., C. Korgialas, D. J. X. Ho, P. C. Ng, X. Miao, K. N. Plataniotis, 2026. ARMOR: Agentic Reasoning for Methods Orchestration and Reparameterization for Robust Adversarial Attacks, accepted in in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Process (ICASSP).
Ho, D. J. X. and R. Pincus, 2024. Two-streams revisited: General equations, exact coefficients, and optimized closures. J. Adv. Model. Earth Syst., 16, e2024MS004504, doi:10.1029/2024MS004504
Ho, D. J. X 2024. PythonicDISORT: A Python reimplementation of the Discrete Ordinate Radiative Transfer package DISORT. J. Open Source Soft., 9, 6442, doi:10.21105/joss.06442
(This paper describes my pure Python implementation of the DISORT algorithm for solving radiative transfer problems using the discrete ordinates method.)