Taylor (Zhengyu) Ma

Vice President, Research @ Two Sigma

About Taylor (Zhengyu) Ma

Taylor (Zhengyu) Ma is the Vice President of Research at Two Sigma, where he has worked since 2015. He specializes in quantitative research, focusing on machine learning and large-scale data analysis.

Current Role at Two Sigma

Taylor (Zhengyu) Ma serves as Vice President of Research at Two Sigma, a position he has held since 2015. In this role, he focuses on leading research initiatives that utilize machine learning techniques to analyze large datasets. His expertise in quantitative research allows him to drive innovative projects within the organization.

Previous Experience at Two Sigma

Before his current role, Taylor Ma worked at Two Sigma in various capacities. He began as an Automation Engineer from 2011 to 2013, followed by a position as a Software Engineer from 2013 to 2015. His experience in these roles contributed to his understanding of software development and automation in a financial context.

Education and Expertise

Taylor Ma holds a Bachelor of Science in Electrical and Computer Engineering from Carnegie Mellon University, where he studied from 2007 to 2011. He later earned a Master's Degree in Data Science from UC Berkeley School of Information, completing his studies from 2014 to 2016. His educational background supports his specialization in developing algorithms for quantitative analysis in the financial sector.

Research Focus and Projects

Taylor Ma has been involved in various research projects that leverage machine learning techniques to analyze large datasets. His work emphasizes quantitative research, particularly in the context of financial data analysis. This focus allows him to contribute significantly to advancements in the field.

Internship Experience at ANSYS, Inc.

In 2010, Taylor Ma completed a two-month internship as a Product Engineer at ANSYS, Inc. This experience provided him with practical insights into engineering applications and product development, complementing his academic background.

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