Christina is a 3x entrepreneur with extensive experience in quantitative and economic research, including at Meta and at the Federal Reserve Board of Governors in DC. She also has a B.A. in economics from the University of Virginia and an M.S. in economics from UNC Chapel Hill. At Sentiont, she is responsible for IT, Finance, and Business Development, in addition to management responsibilities for five direct reports.

Since transitioning to CEO in the summer of 2024, she has focused Sentiont's core service ("Machine Learning for Complex Systems") on novel forecasting techniques and natural-language models that allow users to "chat with" their data. In observance of the "lean startup" methodology, she is currently focused on interviewing potential customers to identify scalable solution areas.

Liam is a Machine Learning researcher and practitioner, with a B.S. in Computer Engineering, an M.S. in Electrical and Computer Engineering, and a PhD in Systems Engineering, all from the University of South Alabama.

His work spans a wide array of topics, including research on hyperspectral image classification for lesion detection (algorithm-based deep learning) and creating forecasting resources using edge artificial intelligence.

Liam is famously friendly and has generously volunteered his free time to mentoring interns and student researchers looking to follow in his footsteps.

Matt is a GNC (Guidance, Navigation, and Control) engineer with ten years of experience, including four years working on GNC at SAIC (Science Applications International Corporation) in Eglin, FL. He holds a B.S. and M.S. in Mechanical Engineering from the University of South Alabama.

He has previously worked on NASA-funded research on NASA Marshall's Electric Sail and Mars Ascent Vehicle, and NSF-funded research on atmospheric sampling.