Stats Perform Hires Aaron Symanski as VP of Engineering, Goodman Gu as VP of AI

Stats Perform has hired Aaron Symanski as Vice President of Engineering and Goodman Gu as Vice President of AI. The hires strengthen Stats Perform’s growing technology department, which continues to develop AI sports products and solutions for media and technology, betting, and team performance.

Symanski will be responsible for driving engineering delivery and excellence, leading Stats Perform engineering teams based in the U.S. and India. Before joining Stats Perform, Symanski was the Chief Technology Officer (CTO) at Change Healthcare through its $2B initial public offering. He led the company’s global technology vision, architecture, and innovation areas. Before Change Healthcare, Symanski was the founding CTO of Apervita, a cloud-based healthcare analytics builder platform. There he architected and built the innovative bi-directional peer-to-peer platform that is the digital standard for U.S. quality measure reporting and rapidly scaled to 2,400 hospitals.

“Stats Perform’s global engineering team is helping to build some of the most exciting innovations in the world of sports and AI,” Symanski said. “I am thrilled to join this growing team and help drive the next generation of solutions that will transform the way we understand sports.”

Gu will use his extensive experience in machine learning, AI, and data analytics to oversee the day-to-day execution of all AI productization. Before Stats Perform, Gu was head of machine learning and AI at COGITO, where he spearheaded active learning, data augmentation, machine learning platform rebuild, enterprise data lake development, and product analytics capabilities. Before COGITO, Gu served as head of data engineering at Atlassian, as well as multiple leadership positions at Amazon, Dell, Sears Holdings and CPXI in software development and data engineering.

“Stats Perform has one of the largest teams of AI scientists dedicated to powering some of the most exciting innovations in sports worldwide,” Gu said. “The company’s commitment to building AI and machine learning solutions from its deep and accurate data make this a truly exciting place to join.”

Gu has an M.S. degree from MIT in engineering and management, and a B.S in computer science from the International University Bruchsal. Symanski has an MBA, MSCS, and bachelor’s in economics from the University of Illinois at Urbana-Champaign.

“Aaron and Goodman both have exceptional experience growing and running engineering and AI teams focused on cloud-based analytical-driven solutions,” said Stats Perform Chief Technology Officer Dr. Helen Sun. “Stats Perform is committed to bringing in technology leaders to play a pivotal role in developing the next generation of AI-powered solutions. I couldn’t be more excited to bring them both on board.”