Michael Bommarito founds, builds, operates, consults for, and advises businesses in legal and financial services, technology, and logistics. His experience spans technology, business, and operations, ranging from top Am Law firms and $B+ AUM investment firms to idea-stage startups. He brings over a decade of experience in software, data, infrastructure, operations, and business strategy to any team, and frequently serves in outsourced executive roles.
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Relevant ventures and projects include:
• Financial, legal, logistics, or “pure” tech businesses.
• Decision support, optimization, or automation for complex business processes.
• “Big data,” natural language processing, machine learning, statistical analysis, visualization, computer vision, or scientific computing approaches, including R, Python, Hadoop, SAS, and Matlab.
• Large-scale data stores and databases, including Oracle, SQL Server, Postgres, HDFS, Redis, Cassandra, and Mongo.
• Public, hybrid, or private cloud infrastructures, including AWS, Azure, Rackspace, and IBM SoftLayer.
His research has been published in scientific journals, law reviews, and mainstream media. Some examples include:
- algorithmic trading and intraday volatility in Quantitative Finance.
- network theory applied to tax law in the Virginia Tax Review.
- graph theory and mathematical legal structures in Physica A.
- legislation and computational linguistics in the New York Times.
- analyzing the social interactions of terrorists in Wired.
Outside of for-profit activities, he is passionate about education and community-building. At Michigan State College of Law, he is an Adjunct Professor of Law and Head of Research at Reinvent Law, where students are prepared for the future of the legal profession. In the community, he organizes the Michigan Python Developer Group and Detroit useR Group.
He hold an M.S.E in Financial Engineering, M.A. (Ph.D., ABD) in Political Science, and B.S. in Mathematics from the University of Michigan, Ann Arbor, where he was an NSF-IGERT fellow at the Center for the Study of Complex Systems.