Sharon Qian
About Sharon Qian
Sharon Qian is a Machine Learning Engineer with extensive experience in both academia and industry. She currently holds positions at Robust Intelligence and Innovation Global Capital while pursuing a PhD in Applied Mathematics at Harvard University.
Work at Robust Intelligence
Sharon Qian has been employed at Robust Intelligence as a Machine Learning Engineer since 2020. In this role, she focuses on developing and implementing machine learning models and algorithms to enhance the company's offerings. Her work contributes to the advancement of artificial intelligence solutions within the organization.
Role at Innovation Global Capital
Since 2020, Sharon Qian has also served as a Venture Partner at Innovation Global Capital. In this capacity, she engages in evaluating investment opportunities and providing insights into technology trends, particularly in the field of machine learning and artificial intelligence.
Education and Expertise
Sharon Qian is currently pursuing a PhD in Applied Mathematics at Harvard University Graduate School of Arts and Sciences, a program she has been part of since 2017. Prior to this, she earned a Bachelor of Science (B.S.) in Mathematics from Yale University, where she studied from 2010 to 2014. Her educational background provides a strong foundation in quantitative analysis and mathematical modeling.
Previous Experience at Choosy
Before her current roles, Sharon Qian worked as the Chief Technology Officer (CTO) at Choosy from 2017 to 2019. In this position, she was responsible for overseeing the technological direction of the company and managing the development of its technology products.
Experience at Citi
Sharon Qian began her professional career at Citi, where she worked as a Quantitative Trading & Analysis Analyst from 2014 to 2017. In this role, she applied her analytical skills to support trading strategies and financial analysis.