I am experienced using EHR data to assess model performance on both population level and individual level of risk prediction model. I am also familiar with using risk prediction model and other statistics to conduct epidemiology studies, e.g. to investigate on the drivers of antibiotics over prescription.
I am capable of combining the strength of different program languages (SAS, R, Python, C++ and Java), and quickly overcoming computational challenges of substantive software and hardware in the research. I am familiar with statistical programming with SAS procedures, model fitting with R packages and machine learning model fitting and validation with Python.
As an experienced data scientist, I am very familiar with conducting analysis with large data. I have fitted and validated multiple risk prediction models including both of traditional statistical models and machine learning models in a 3.6 million cohort. I designed a workflow with the combination of advantages of different programming languages to conduct efficient statistical analysis using large data.
I am also a part-time video editor and photo designer with an aim to make the educational course contents more interesting with meme, animation and comics.
I am also interested in independent game develop with Python. I wish to involve more educational video game into education.