Qianwen Wang

Data Visualization
Explainable Machine Learning
Human-Machine Collaboration

About me

I am Qianwen Wang (汪倩雯), a PostDoc at Gehlenborgy Lab, Harvard University. I am studying Interactive Data Visualization within the broad context of Human-Computer Interaction, envisioning interactive data visualiation as an effective approach for knowledge communication with general users. My work strives to facilitate the communication between general users and Machine Learning Models through creating interactive visual analysis systems.

I obtained my PhD degree in the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology in 2020.
I got my B.Eng Degree from Xi'an Jiaotong University in 2015. During my PhD study, I worked at the XAI GroupHKUST VisLab, under the supervision of Prof. Huamin Qu.
I have interned at Microsoft Research Asia and collaborate with researchers from MIT, University of Oxford, Tsinghua Univeristy, Microsoft Research.


  • [Jul, 2021] Gosling won the 🏆 Best Abstract Award at ISMB 2021
  • [Jul, 2021] Two papers accepted by IEEE VIS
  • [Jul, 2021] One paper accepted by ICML workshop on Interpretable Machine Learning in Healthcare (🏆 Best Paper Award)
  • [Jul, 2021] Two long talks at ISMB 2021
  • [Mar, 2021] One paper aceepted by ISMB
  • [Apr, 2021] Invited talk at PacificVis 2021 Visualization meets AI
  • [Jul, 2020] Three papers accepted by IEEE VIS
  • [May, 2020] Started my PostDoc position at Harvard University
  • [Dec, 2019] Passed my PhD thesis defense 🎉
  • [Aug-Dec, 2019] Visited the University of Oxford, hosted by Prof. Min Chen