Li Gao

Li Gao has extensive work experience in the field of data science and research. They started their career as a Research Assistant at Stanford University in 2003, where they worked until 2009. They then joined IBM as a Postdoctoral Research Fellow before transitioning to the role of Research Staff Member (RSM) from 2011 to 2012. In 2012, Li Gao joined Seagate Technology as a Senior Staff Data Science and Product Engineer, where they worked until 2019. Since 2019, they have been working as a Data Scientist - ML/AI in the CTO Office of L2F Inc., a Middleby Corporation Company.

Li Gao earned a Bachelor of Science degree in Physics from Nanjing University in 2003. Li then went on to pursue their Master of Science degree in Electrical Engineering at Stanford University in 2007. In the same institution, Li Gao also completed their PhD in Applied Physics in 2009. Additionally, Li Gao has obtained several certifications in Machine Learning, including "Machine Learning Foundations: A Case Study Approach," "Machine Learning Specialization," "Machine Learning: Classification," "Machine Learning: Clustering & Retrieval," and "Machine Learning: Regression," all from the University of Washington. However, specific details regarding the obtained dates for these certifications are not provided.