Lu Zhang

Lu Zhang has a strong background in software engineering and data science. They are currently serving as the Director of Software Engineering at Profusa since January 2023. In this role, Lu is responsible for overseeing software engineering activities. Prior to this, Lu worked as a Senior Data Scientist at Profusa from June 2021 to December 2022. Here, they developed and deployed continuous glucose monitoring (CGM) algorithms and designed glucose monitoring systems using cloud solutions. Lu also has experience as a Senior R&D Engineer at Sonova Group from November 2017 to June 2021, where they focused on developing deep learning algorithms for cardiovascular health monitoring and disease diagnosis. Additionally, Lu worked as a Postdoctoral Scholar at the University of California, Los Angeles in 2017.

Lu Zhang completed a Bachelor's Degree in Applied Chemistry from Tianjin University, from the years 2007 to 2011. Afterward, they pursued a Doctor of Philosophy (Ph.D.) in Materials Science and Engineering from the University of Cincinnati, completing it from 2012 to 2016.

Additionally, Lu Zhang has obtained several certifications from Coursera. They have completed the following certifications: "AWS Cloud Solutions Architect" from Coursera, obtained in February 2023, "Natural Language Processing Specialization" from Coursera, obtained in December 2020, "AI for Medicine Specialization" from Coursera, obtained in July 2020, "TensorFlow: Data and Deployment Specialization" from Coursera, obtained in February 2020, "TensorFlow in Practice Specialization" from Coursera, obtained in November 2019, "Deep Learning Specialization" from Coursera, obtained in October 2019, "Using Databases with Python" from Coursera, obtained in September 2019, "Using Python to Access Web Data" from Coursera, obtained in September 2019, "Introduction to Programming with MATLAB" from Coursera, obtained in August 2019, "Developing Data Products" from Coursera, obtained in July 2019, "Databases and SQL for Data Science" from Coursera, obtained in June 2019, "Practical Machine Learning" from Coursera, obtained in June 2019, "Regression Models" from Coursera, obtained in April 2019, "Python Data Structures" from Coursera, obtained in September 2018, "Statistical Inference" from Coursera, obtained in September 2018, "Reproducible Research" from Coursera, obtained in June 2018, and "R programming" from Coursera, obtained in April 2018.