Xueying Zhao

Engineer Iii, Single-cell Multiomics @BD

San Jose, CA, US

Developed a custom software solution for a liquid handling robot, automating single cell capture workflow to reduce l operation time by 95% and significantly streamlining the process-Built and trained a machine learning model to perform automated clustering on cells, presenting the results in an interactive visualization tool that led to a company invention award and a filed patent-Developed a regression model to predict cervical cancer risk and consolidated data from diverse sources to inform community service for underrepresented populations-Conducted product optimization research, leading to a 15% reduction in device cost and 11% reduction in workflow time-Utilized machine learning and deep learning algorithms to perform defect detection on microwells using scanner images-Contributed to the successful launch of a product through all phases, including feasibility, development and verification-Collected data, performed image processing and statistical analysis, and visualized data using Python, JMP and Minitab-Drafted SOPs, product requirements documents for system and subsystem designs, and participated in design reviews-Provided training to associates in various regions including the U.S, Europe, Australia, and China

University of Virginia

Doctor of Philosophy - PhD, Chemical Engineering

Penn State University

Master of Science - MS, Chemical Engineering

Dalian University of Technology

Bachelor's degree, Chemical Engineering

Georgia Institute of Technology

Master's degree, Computer Science