In this role, he applies his technical expertise in overseeing the contributions of our team of content-aware file compression researchers, as well as continuing his own research in context-mixing file type specific compressors.

Mahoney, most recently at the Florida Institute of Technology, is a recognized thought leader in the field of next generation data compression and has to date served on Ocarina's technical advisory board. Prior to joining Ocarina's management team, Mahoney helped develop the top-ranked PAQ series of compressors using a new algorithm called context mixing. He currently maintains one of the largest text benchmarks and continues to promote further research in statistical, natural language modeling. He is also on the committee for the Hutter prize to encourage open research in statistical natural language modeling. Before pursuing his Ph.D., Mahoney served as a software engineer for eleven years at Harris Corp. in Melbourne, Florida, and held a number of hands-on technical development positions, including with the U.S. Navy.

Mahoney holds an MS degree in computer engineering and a Ph.D. in computer science from Florida Tech.