Education & Training
Postdoctoral Research Fellow, Computational Biology and Developmental Biology Programs, Sloan-Kettering Institute (labs of Gunnar Ratsch and Kat Hadjantonakis)
PhD degree/Dr. rer. nat in computer science, University of Heidelberg, Germany (lab of Fred Hamprecht)
MEng degree in engineering physics, Tsinghua University, Beijing, China
BEng, Engineering Physics, Tsinghua University, Beijing, China
My research focuses on the application of machine learning and image processing for biological and clinical data analysis. I develop advanced computational algorithms and models for processing vast amounts of data from a variety of applications ranging from proteomics to developmental biology, clinical data mining, and diagnostic pathology.
Such algorithms and models can help achieve two important goals. The first is to distill meaningful and complex information from large data sets that otherwise are difficult to extract via manual analysis. The second is to automate and standardize the data processing pipeline that frees biology researchers from tedious manual data processing.
I believe computational science will have sustained and significant impact on biomedical research – especially in fields that are, or are becoming, heavily data driven.