Qingqing Mao is the Head of Engineering and Data Science at Dascena, where he leads the development of compliant and scalable clinical data pipelines and the research on applying machine learning techniques in healthcare and medicine. Previously, he worked as a senior staff data scientist at Primer AI, where he focused on building complex and high-performance analytical pipelines that bring state-of-the-art natural language processing models into production and are capable of processing hundreds of millions of documents. He has a Ph.D. in Astrophysics from Vanderbilt University, where he researched large-scale galaxy distribution using computer simulations and datasets of millions of galaxies from the Sloan Digital Sky Survey.