Jr. Data Scientist
The coolest things I've done in my career are:
Developed a model to detect false-positive rates in medical images and published more than five journal and conference papers during two years of master study
Switched from Biomedical Engineering to Computer Science, hoping to make more contributions in healthcare from a data science perspective
If I could have a super power it would be:
Time travel (to witness important events - i.e. how I was born)
I'm a "closet" fan of:
George R. R. Martin
The nerdiest thing I do in my spare time is:
Three things still on my bucket list are:
Run a marathon
Road trip across the country
See the Northern Lights
My past experience includes:
I am an MScAC student in Computer Science at University of Toronto. I received my BEng (Northeastern University) and MEng (Shanghai Jiao Tong University) in Biomedical Engineering in China. My master’s research was to use dynamic FDG-PET imaging to differentiate malignancy from Inflammation. As I realized the importance of data driven methods in healthcare research, I continued my study in data science.
My recent interest focuses on Natural Language Processing and Machine Learning for Health. And I would like to apply highly efficient, accurate and cost-effective data science techniques in the healthcare field.