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Jared brings over 15 years of academic, research and industry experience to Pixel Forensics. Jared spent 6 years at the Digital Image Analysis Laboratory (DIAL) at Scripps Institute of Oceanography on the UCSD campus in La Jolla, California, where he focused on developing custom solutions for analyzing and processing both geostationary and polar orbiting satellite data. Analyses included, but were not limited to, geophysical trend analysis (global atmospheric water vapor, surface temperature and precipitation) and atmospheric content detection (airborne volcanic ash, Asian dust). He was also a primary designer and constructor of the Parallel Image Processing Environment (PIPE), a large 48-node (96 processor) Beowulf compute cluster used specifically for the efficient distribution and large-scale processing of satellite data.

Jared then spent 3 years at BBN Technologies in Cambridge, Massachusetts, in the image analysis group. There Jared used his expertise in numerical analysis, machine learning and image processing to develop image pattern extraction and recognition solutions to work on photographs and documents for content-based image retrieval (CBIR) systems. Jared graduated from the University of California, San Diego with a B.S in Computer Science and Engineering, and is currently a coauthor on eight peer-reviewed scientific papers related to image analysis and/or image processing.

Jared leads the Pixel Forensics engineering team in designing new, creative solutions that leverage original and prior research to solve real customer problems. "Research is important, but must eventually be applied outside of the academic vacuum. Results and satisfaction are what ultimately matter."