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I am a graduate student at the Department of Astrophysical and Planetary Science at the University of Colorado. I am interested in a wide range of high-energy astrophysics problems, including but not limited to black holes, accretion discs, collapsars, supernovae, compact objects, and particle dark matter. To address these problems, I performed numerical simulations, and sometimes semi-analytical calculations. I also developed my own numerical tools to solve complicated astrophysical fluid dynamic problems.

Journal Publications

Chan, H. S., Chu, M. C., & Leung, S. C. (2022). Accretion-induced Collapse of Dark Matter-admixed Rotating White Dwarfs: Dynamics and Gravitational-wave Signals. The Astrophysical Journal, 945(2), 133.

Chan, H. S., Chu, M. C., & Leung, S. C. (2022). Dark Matter-admixed Rotating White Dwarfs as Peculiar Compact Objects. The Astrophysical Journal, 941(2), 115.

Chan, H. S. (2022). On The Effects of Sub-GeV Dark Matter Particles to White Dwarfs and Thermonuclear Supernovae. Master of Philosophy dissertation. The Chinese University of Hong Kong.

Chan, H. S., Villar, A., Cheung, S. H., Ho, S., O’Grady, A. J., Drout, M. R., & Renzo, M. (2022). Searching for Anomalies in the ZTF Catalog of Periodic Variable Stars. The Astrophysical Journal, 932(2), 118.

Cheung, S. H., Villar, V.A., Chan, H. S., & Ho, S. (2021). A New Classification Model for the ZTF Catalog of Periodic Variable Stars. Research Notes of the AAS, 5(12), 282.

Chan, H. S., Chu, M. C., Leung, S. C., & Lin, L. M. (2021). Delayed Detonation Thermonuclear Supernovae with an Extended Dark Matter Component. The Astrophysical Journal, 914(2), 138.

Conference Proceedings

Chan, H. S., Cheung, S. H., Villar, A., & Ho, S. (2021). A Convolutional Autoencoder-Based Pipeline for Anomaly Detection and Classification of Periodic Variable Stars. NeurIPS 2021 Machine Learning and the Physical Sciences Workshop.

Chan, H. S., Cheung, S. H., Villar, A., & Ho, S. (2021). Searching for the Weirdest Stars: A Convolutional Autoencoder-Based Pipeline for Detecting Anomalous Periodic Variable Stars. NeurIPS 2021 Deep Generative Models and Downstream Applications Workshop

Scholastic achievements

Croucher Scholar, the Croucher Foundation 

Croucher Scholarships for Doctoral Study, the Croucher Foundation 

C.U. Boulder Department of Astrophysical and Planetary Sciences Fellowship

Graduated with First Class Honour, the Chinese University of Hong Kong