Yiqing Zhang

Yiqing (Ruby) Zhang is a data scientist with a strong academic background and professional experience in data science and research. She completed her Master of Science in Data Science at Harvard University, graduating in 2021 with a perfect 4.0 GPA.1 Prior to her graduate studies, she earned a Bachelor of Science in Mathematics and Computer Information Science from The Ohio State University, where she maintained an impressive 3.91 GPA.1

Professional Experience

As a Research Assistant at the Harvard John A. Paulson School of Engineering and Applied Sciences from April 2020 to April 2021, Zhang worked on:

• Investigating infinite Bayesian Neural Networks to improve uncertainty estimation for risk-adverse applications
• Extrapolating the Neural Linear Model to the infinite neural network case
• Performing comparative evaluations of BNN with NLM in the asymptotic case1

Other Notable Roles

Zhang has held several other positions that showcase her expertise in data science and research:

• Data Scientist Intern at Pivotree (July-August 2020): Developed customer segmentation approaches and prospect selection models for e-commerce marketing campaigns1
• Data Engineer at Harvard T.H. Chan School of Public Health (June-July 2020): Collaborated with epidemiologists to investigate the effect of warning labels on meat consumption1
• Summer Intern and Undergrad Researcher at Ohio State University Comprehensive Cancer Center (October 2017-June 2019): Predicted breast cancer relapse using machine learning techniques1

Skills and Achievements

Zhang's profile highlights her proficiency in:

• Data collection and analysis
• Statistical analysis
• Machine learning
• Python programming
• Multitasking and teamwork

Her research on breast cancer relapse prediction was presented at the San Antonio Breast Cancer Symposium, demonstrating her ability to contribute to significant scientific discussions.1