Aaron Stronge

Aaron Stronge has over a decade of experience in the legal and business intelligence fields. In 2021, they began working as a Senior Product Manager for FlavorCloud Inc. Prior to this, they were the Director of Business Intelligence at Pulse8 Inc. from 2019 to 2021, where they made architecture and design decisions, led a community of product owners and developers, and designed/created tools to monitor production systems. From 2013 to 2019, they held various roles at Anaqua, including Associate Director of IP Analytics, Product Manager, and Consultant. During this time they designed and developed HyperView, Anaqua's self-service analytics platform, and owned the BI roadmap. From 2013 to 2012, they were an Intellectual Property Managing Consultant at Northeastern University, and from 2012 to 2011 they were a Principal at Foundry Consulting, LLC. Aaron also held roles as a Contract Review Attorney at Iron Mountain from 2011 to 2010, In-House Counsel at Converted Organics Inc. from 2011 to 2010, Legal/Compliance Intern at Fresenius Medical Care from 2010 to 2008, and Lead Summer Associate at Exemplar Law Partners, LLC from 2008 to 2008. Lastly, they were a Patent & Marketing Intern at the Law Offices of J.D. Geraigery, P.C. from 2008 to 2008.

Aaron Stronge has a diverse educational background. Aaron began their formal education at Westford Academy, which they attended from 1995 to 1999. Aaron then attended Wheaton College Massachusetts, where they earned a BA in Biology and Philosophy in 2003. During their time at Wheaton College Massachusetts, Aaron Stronge also studied Neuroanatomy and Mind Philosophy at the University of Bristol from 2001 to 2002. In 2007, Aaron Stronge attended Suffolk University Law School, where they earned a JD in Business Law and IP in 2010. During their time at Suffolk University Law School, Aaron Stronge also studied International IP Law and Comparative Corporations at Lund University in 2008. Additionally, Aaron Stronge has obtained three course certificates from Coursera, including Machine Learning Foundations: A Case Study Approach in 2016, R Programming in 2015, and The Data Scientist’s Toolbox in 2015.