Resume [download]

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PhD candidate in Statistics, University of Illinois, Urbana Champaign, IL  Sep 2016 – Present

  • Research Interest: image data processing, active semi-supervised learning, differential privacy

Bachelor of Science in Mathematics, Fudan University, Shanghai, China  June 2012 – June 2016



Correlation Tensor Decomposition and Its Application in Spatial Imaging Data, Manuscript  Sep 2017- Present

  • Fast tensor decomposition algorithm captures the correlation and spatial information of the imaging data
  • Improve the diagnosis accuracy by detecting the tumor-associated molecules

Predicting the Progression of Nuclear Severe Accidents with Deep Learning Systems, Submitted    July 2019

  • Use deep neural network in prediction of the nuclear facility accidents in time series form



Active Semi-supervised Clustering via Optimal Projection Direction        Ongoing

  • Sequentially select as minimum as possible labels to do clustering, especially for high-dimensional data

Convolutional Neural Networks for Text Categorization via Region Embedding    Aug 2017- Dec 2017

  • Apply CNN to document classification via two-stage learning
  • Propose new structure to achieve two-view embedding during text-to-image procedure

Special time series prediction based on Gaussian Process Regression (Bach. Degree Thesis)  Jan 2016 – June 2016

  • Use auto-detected change points as pivotal markers to deal with time-series
  • Predict the traffic flow with repeated patterns and special events

Text mining: Non-negative Matrix Factorization (NMF) Application in Yelp Reviews    Sep 2015 – Dec 2015

  • Text clustering performing NMF on term-document matrix with different regularization terms
  • Determine the hidden scores of restaurants and improve recommendation



Statistical Consultant, Illinois Statistics Office, Champaign, IL                 May 2018 – Present

  • Sample projects: portfolio optimization, moderation effect analysis of shopping behavior

Instructor: STAT 200 Statistical Analysis, UIUC, IL               Spring 2018

  • Fundamental statistic course for undergraduate, a class of 50

Programmer, Boehringer-Ingelheim Biometric Department, Shanghai, China            Jun 2014 – Aug 2014                                                                                                                      

  • Phase II clinical trial analyzing patient response towards new therapy
  • Data cleansing, survival analysis of pharmaceutical efficacy and safety using SAS



  • Statistics in Imaging Section Student Paper Competition Runner-up Feb 2019
  • Student Poster Award at Statistical Methods in Imaging Conference, UCI June 2019
  • Conference Travel Awards for Graduate Students, Graduate College, UIUC May 2018


  • R (advanced), MATLAB (advanced), Python (intermediate), SAS (intermediate)