Hugh has built practical mathematical solutions for enterprises, including staffing optimization for table games at Las Vegas casinos, an award winning staffing tool for large health systems, and a patented machine learning approach to data deduplication. Hugh has also worked on numerous M&A and venture capital deals with a focus on enterprise AI.
He holds a PhD in Applied Mathematics from the University of Connecticut, an MBA from Cornell University, and a BS in Computer Science from University College Dublin.