Ding Liang

Ding Liang has a work experience spanning from 2004 to 2018. They began their career as a Research Assistant at the University of Washington from September 2004 to June 2009. They then worked as a Physical Scientist at IM Systems Group, Inc. from July 2009 to February 2015. In their role, they performed duties that are not specified in the provided information. After that, Ding Liang joined Earth Resources Technology, Inc. as a Satellite Data Scientist from February 2015 to October 2018. They were involved in various tasks related to satellite observations and data analysis. Lastly, Ding Liang worked as a Satellite Data Scientist at Global Science & Technology, Inc. starting from October 2018. In this role, they developed and improved algorithms for hurricane image identification, temperature profile retrieval, and satellite wavelength estimation.

Ding Liang obtained a Ph.D. degree in Electrical Engineering from the University of Washington, which they pursued from 2004 to 2009. Prior to that, they completed their Bachelor's degree in Engineering, specializing in Electronics and Information Systems, from Wuhan University from 1998 to 2002. Additionally, Ding Liang has acquired several certifications, including "Business Applications of Hypothesis Testing and Confidence Interval Estimation" from Coursera in June 2020, "Machine Learning" from Coursera in May 2019, "Neural Networks and Deep Learning" from Coursera in May 2019, and "Convolutional Neural Networks" from Coursera in March 2019.