Hao Chen
About Hao Chen
Hao Chen serves as the Vice President of Informatics at Lucence, where he oversees the development of AI-driven data analytics platforms for precision medicine. He has a strong background in bioinformatics and has contributed to significant research publications and patents in the field.
Work at Lucence Health
Hao Chen serves as the Vice President of Informatics at Lucence, a role he has held since 2022. In this position, he oversees the architecture of the company's AI-driven data analytics platform, SunTzu.AI™, which integrates genetics and image-based approaches to enhance precision medicine. Prior to his current role, he worked as the Director of Informatics from 2018 to 2022 and as a Bioinformatics Manager from 2017 to 2018. His contributions to Lucence focus on developing innovative software platforms for analyzing biological and cellular diversity.
Education and Expertise
Hao Chen obtained a Master of Science (MSc) in Biomathematics, Bioinformatics, and Computational Biology from Nanyang Technological University, where he studied from 2012 to 2013. He also holds a Bachelor of Science (BS) in Biotechnology from Harbin Institute of Technology, completed between 2008 and 2012. His educational background supports his expertise in bioinformatics and computational biology, which he applies in his current role at Lucence.
Background
Hao Chen began his career as a part-time Research Assistant at Nanyang Technological University in 2013. He later served as a Project Officer at the same institution from 2013 to 2014. Following this, he worked at A*STAR - Agency for Science, Technology and Research as a Research Officer from 2014 to 2017, contributing to the Singapore Immunology Network. His diverse experiences in research and project management have shaped his current role in informatics.
Achievements
Hao Chen has filed patents related to technology for automated and reproducible analysis of complex data. He has published work in top peer-reviewed journals, including co-authoring significant publications in 2023 in the Annals of Oncology and the Journal of Clinical Oncology. His algorithms are recognized for their impact, regularly ranking among the top downloads on Bioconductor, a leading open-source biological software repository.