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Chia-Hung Yang (楊嘉鴻)

PhD, Network Science

Biography

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.

Interests

  • Machine Learning
  • Artificial Intelligence
  • Complex Systems
  • Network Science
  • Evolution

Education

  • PhD in Network Science, 2021

    Northeastern University, United States

  • BS in Physics, 2015

    National Tsing Hua University, Taiwan

Experience

 
 
 
 
 

Research Assistant

Emergent Epidemics Lab, Northeastern University

Sep 2017 – Present Boston, MA, United States
Formulated a population genetic modeling approach for the evolution of gene regulatory network
 
 
 
 
 

Research Assistant

Network Science Institute, Northeastern University

Sep 2016 – Aug 2017 Boston, MA, United States
Developed a mechanistic model to elucidate a widely observed temporal pattern in ecological and finacial systems
 
 
 
 
 

Research Assistant

Department of Physics, National Tsing Hua University

May 2014 – Jun 2015 Hsinchu, Taiwan
Analyzed and predicted the characteristic length scale of pattern formation in interacting prey-predator systems

News

10 / 30 / 2020

Happy to see the birth of this preprint on arXiv about the netrd Python library and huge thanks to the team!

06 / 12 / 2020

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.

03 / 27 / 2020

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.

12 / 13 / 2019

Today I passed my dissertation proposal and became a PhD candidate of Network Science!!!

Publications

A family of fitness landscapes modeled through gene regulatory networks

Yang C.-H. & Scarpino S. V. (2021). bioRxiv: 2021.12.03.471063

netrd: A library for network reconstruction and graph distances

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.

The ensemble of gene regulatory networks at mutation-selection balance

Yang C.-H. & Scarpino S. V. (2021). bioRxiv: 2021.04.11.439376

Reproductive barriers as a byproduct of gene network evolution

Yang C.-H. & Scarpino S. V. (2020). bioRxiv: 2020.06.12.147322

The effect of human mobility and control measures on the COVID-19 epidemic in China

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