Yu Shi
About Yu Shi
Yu Shi is a quantitative researcher with a PhD in Operations Research from Yale University. He has held various roles in quantitative analysis and data science at notable firms including Two Sigma, Amazon, and Celgene.
Current Role at Two Sigma
Yu Shi is currently employed as a Quantitative Researcher at Two Sigma, a position he has held since 2023. His work involves applying quantitative methods to analyze data and develop strategies within the financial sector. This role builds on his previous experience at the same firm, where he worked for a brief period in 2022.
Education and Expertise
Yu Shi earned a Doctor of Philosophy (PhD) in Operations Research from Yale University, completing his studies from 2018 to 2023. Prior to this, he obtained a Master of Science (MS) in Biostatistics from Yale University from 2016 to 2018. He also holds a Bachelor of Science (BS) in Investment Science from The Hong Kong Polytechnic University, where he studied from 2012 to 2016.
Previous Experience in Quantitative Research
Yu Shi has a background in quantitative research, having worked as a Quantitative Researcher at Two Sigma for three months in 2022. His experience includes roles as a Quantitative Analyst at Avalok Capital and as a Data Scientist at Amazon, where he focused on data analysis and research methodologies.
Teaching and Mentorship Experience
From 2017 to 2020, Yu Shi served as a Graduate Teaching Assistant at Yale School of Management. In this role, he assisted in teaching and mentoring students, contributing to their academic development in quantitative methods and research.
Internships and Early Career
Yu Shi began his career with internships at CITIC Securities International and Avalok Capital in 2015. He also participated in a Datathon at Citadel LLC in 2017, which provided him with practical experience in quantitative analysis and problem-solving in a competitive environment.