Yifan Wu
About Yifan Wu
Yifan Wu is a Quantitative Researcher currently employed at Two Sigma since 2021. He has a strong academic background in Computer Science and Machine Learning, holding degrees from Shanghai Jiao Tong University, the University of Alberta, and Carnegie Mellon University.
Work at Two Sigma
Yifan Wu has been employed at Two Sigma as a Quantitative Researcher since 2021. In this role, Wu applies advanced quantitative techniques to analyze data and develop models that inform investment strategies. The position involves collaboration with other researchers and data scientists to enhance the firm's analytical capabilities.
Education and Expertise
Yifan Wu holds a Doctor of Philosophy (Ph.D.) in Machine Learning from Carnegie Mellon University, which was completed from 2016 to 2021. Prior to this, Wu earned a Master's Degree in Machine Learning from the University of Alberta, studying from 2013 to 2016. Wu also obtained a Bachelor's Degree in Computer Science from Shanghai Jiao Tong University, where studies were conducted from 2009 to 2013.
Internship Experience at Google
Yifan Wu completed multiple internships at Google, contributing to research initiatives. Wu worked as a Research Intern in 2018 for three months in Mountain View, California, and again in 2019 for another three months. In 2020, Wu returned to Google for a third internship, also lasting three months.
Internship Experience at DeepMind
In 2017, Yifan Wu served as a Research Intern at DeepMind in London, United Kingdom. This internship lasted for three months and involved engaging in cutting-edge research in artificial intelligence and machine learning.