Qibin Zhou
About Qibin Zhou
Qibin Zhou is a Machine Learning Engineer with extensive experience in software engineering and machine learning across various industries, including finance and life sciences. He has worked at notable companies such as Valo, Verily Life Sciences, and Barclays Investment Bank, and holds a Ph.D. in Computational Condensed Matter Physics from Rutgers University.
Current Role at Sonata Therapeutics
Qibin Zhou currently serves as a Machine Learning Engineer at Sonata Therapeutics since 2023. He works in a hybrid capacity, which allows him to adapt to various working environments. His role involves applying machine learning techniques to support the company's initiatives in the life sciences sector. This position marks a continuation of his focus on machine learning applications.
Previous Experience at Valo
Prior to his current position, Qibin Zhou worked as a Machine Learning Engineer at Valo from 2019 to 2023. During his four years in Boston, Massachusetts, he contributed to projects that leveraged machine learning to enhance healthcare solutions. His experience at Valo reflects his commitment to advancing technology in the life sciences.
Background in Software Engineering
Before his tenure at Valo, Qibin Zhou was employed at Verily Life Sciences as a Software Engineer from 2016 to 2019. His three years in Boston involved developing software solutions that supported health-related projects. He also worked at Bloomberg LP as a Financial Software Engineer for six months in 2014, gaining experience in the finance industry.
Education and Expertise
Qibin Zhou holds a Bachelor's degree in Condensed Matter Physics from the University of Science and Technology of China, where he studied from 2004 to 2008. He furthered his education at Rutgers University, earning a Doctor of Philosophy (Ph.D.) in Computational Condensed Matter Physics from 2008 to 2014. His academic background provides a strong foundation for his work in machine learning and software engineering.
Projects and Innovations
Qibin Zhou has developed a chatbot for scientific Q&A that utilizes Large Language Models (LLM) and Retrieval-Augmented Generation (RAG). This project demonstrates his ability to integrate advanced machine learning techniques into practical applications, showcasing his innovative approach to problem-solving in the field of technology.