Tom Dignan

Tom Dignan is a Software Engineering and Research Executive with over twenty years of experience in building and leading teams in data analysis, algorithm development, and system architecture for internet and mobile platforms. Currently, Tom serves as a Fractional CTO at MAGIC AI and holds the position of CTO at Apolitical, where they focus on governmental policy recommendations. Previously, Tom held leadership roles at multiple organizations, including CTO at Syft and Principal Technology Advisor at ReputationDefender, where they significantly scaled engineering teams and optimized technology strategies. Tom has also contributed to the scientific community as a Postdoctoral Scholar at SLAC National Accelerator Laboratory and has an extensive educational background in Physics from Harvard University and San Francisco State University.