My name is Yu-Chia Chen and I am a 5th year PhD student advised by professor Marina Meilă at the University of Washington (UW). My research interests are in manifold learning, geometric data analysis and temporal graph modeling, with applications in Molecules dynamics simulation and Astronomy.


I interned in the Consumer Data and Analytics group at Microsoft during 2018 summer. We worked on modeling large scale temporal networks by dynamic stochastic block model and its extension to causal impact on dynamic social networks. The paper was accepted to KDD’19.

I got my B.S. in Physics at National Taiwan University (NTU) in June 2015. I was honored to work with professor Yang-Fang Chen on bio-inspired random laser.

Please check out my CV here.


  • Jun 2020 Machine learning internship at Facebook, Seattle, WA.
  • Dec 2019 Presenting at NeurIPS’19, Vancouver, Canada (12/08/19 – 12/14/19).
  • Aug 2019 Presenting at KDD’19, Anchorage, AK (08/04/19 – 08/08/19).