Ang Li

Ang Li is a highly accomplished professional with extensive education and experience in mathematical statistics, natural resources, environmental science, and machine learning.

Ang Li obtained a Doctor of Philosophy (PhD) in Mathematical Statistics from The University of Chicago, a Master of Science (MS) in Natural Resources and Environmental Science from Cornell University, and a Bachelor of Science (BS) in Statistics and Environmental Science from Peking University.

With a diverse educational background, Ang Li has held key roles at reputable organizations, including being a Machine Learning Engineer at Kensho Technologies, a Quantitative Associate at J.P. Morgan, a Quantitative Researcher Intern at Citadel LLC, and an Advanced Analytics Intern at Liberty Mutual Insurance.

Ang Li's professional journey showcases a strong foundation in statistics, environmental science, and quantitative research, making them a versatile and skilled individual in the field of data analysis and machine learning.