Developed patient utilization predictive models to help identify and triage patients in need.

Developed a machine learning model for prioritizing potential customers via Python, AWS and SQL.

Implemented machine learning/data visualization techniques to provide useful business insights.

Led weekly lectures of 100 non-statistics undergraduate students each semester.

Thesis: Statistical methods for neuroimaging data analysis.

Li, Z., Suk, H.-I., Shen, D. and Li, L. (2016), ”Sparse Multi-response Tensor Regression for Alzheimer’s Disease Study with Multivariate Clinical Assessments,” IEEE Transactions on Medical Imaging 35.8 (2016): 1927-1936.

  Python, R & SQL

  Scala, Spark, Git, Linux & MATLAB

  Java, C/C++ & SAS

Music, Movies, Running, Reading, Cooking.