David Li
About David Li
David Li is the Director of Data Science at MobilityWare, with over 17 years of experience in AI and machine learning. He previously held leadership roles at Aetna and Deluxe Entertainment Services Group, and has a PhD in machine learning from the University of Maryland Baltimore County.
Current Role at MobilityWare
David Li serves as the Director of Data Science at MobilityWare, a position he has held since 2020. In this role, he focuses on leveraging data science to enhance the company's gaming products. His responsibilities include developing analytics strategies and managing data science teams to drive innovation and improve user experience.
Previous Experience at Aetna
Prior to his current role, David Li worked at Aetna as Chief/Principal Data Scientist from 2013 to 2017. During his four years in the Hartford, Connecticut area, he contributed to data-driven decision-making processes and developed analytics solutions that supported healthcare initiatives.
Experience at Deluxe Entertainment Services Group
David Li held the position of Director of Data Science at Deluxe Entertainment Services Group from 2017 to 2020. In the Greater San Diego Area, he led data science initiatives that enhanced operational efficiency and supported the company's entertainment services through advanced analytics.
Educational Background
David Li earned his Doctor of Philosophy (PhD) from the University of Maryland Baltimore County, where he studied machine learning, neural networks, and optimization. He also holds a Bachelor's degree in Mechatronics, Robotics, and Automation Engineering from Zhejiang University, which laid the foundation for his expertise in data science and artificial intelligence.
Expertise in Data Science and AI
With over 17 years of experience, David Li specializes in applying artificial intelligence, machine learning, and deep learning to solve complex business problems. He has a proven track record of establishing and managing data science teams, as well as developing award-winning machine learning research and products.