Chia-Hung is a PhD of Network Science graduated from Northeastern University, United States. His graduate research explored how network science, as an abstraction of complex system modeling, can unveil novel or strengthen existing understanding of theories of biological evolution. He also collaborated with colleagues to expand network science toolkits to model complex systems, including general guidelines of message passing approaches and network reconstruction from time series data. Recently, Chia-Hung grows interests in deep learning application of anomaly detection and self-supervised representation for biomedical signals.
PhD in Network Science, 2021
Northeastern University, United States
BS in Physics, 2015
National Tsing Hua University, Taiwan
New preprint out on bioRxiv! Here we propose a mathematical framework to model the evolution of gene regulatory networks and find that speciation naturally emerges.
I am greatful to be part of this international collaboration published in Science, where we analyzed association between COVID-19 cases and real-time human mobility in China.
Today I passed my dissertation proposal and became a PhD candidate of Network Science!!!
Yang C.-H. & Scarpino S. V. (2021). bioRxiv: 2021.12.03.471063
McCabe S., Torres L., LaRock T., Haque S. A., Yang C.-H., Hartle H., Klein B. (2020). Journal of Open Source Software, 6(62), 2990.
Yang C.-H. & Scarpino S. V. (2021). bioRxiv: 2021.04.11.439376
Yang C.-H. & Scarpino S. V. (2020). bioRxiv: 2020.06.12.147322
Kraemar M. U. G., Yang C.-H., Gutierrez B., Wu C.-H., Klein B., Pigott D. M., Open COVID-19 Data Working Group, Plessis L. D., Faria N. R., Li R., Hanage W. P., Brownstein J. S., Layan M., Vespignani A., Tian H., Dye C., Cauchemez S., Pybus O. G., & Scarpino S. V. (2020). Science 368(6490): 493-497