PhD in Applied Mathematics and Statistics
I received my PhD degree in the computational mathematics track from the Applied Mathematics
& Statistics Department. My advisor was Prof. Xiangmin Jiao. My research focused on
efficient solvers for linear systems that arise from PDE applications. Before coming
to Stony Brook, I earned my Bachelor's degree from Nanjing University.
I am currently working as an applied scientist at Amazon. My responsibility includes
demand forecasting and inventory planning. Previously I was working as a software
developer. I helped build a system that automates operations of business analysts.
Structure of a typical day
I go to work around
10:00 am and leave around
6:30 pm. As a software developer, my daily routine involved system maintenance, debugging
and building new features. As an applied scientist, I have the freedom to do experiments,
survey papers and propose new methods. In terms of operations, I usually need to add
logic into the models and explain the results to the business team. There are a lot
of meetings in both roles.
How did you find the job?
Everyone is applying to technology companies these days.
Advice to other students?
Machine learning has become very popular. It is useful not only in traditional areas
like NLP and computer vision but also in general applications. Knowledge of machine
learning and data science can be helpful for both your research and job searches.