John supports founders driving transformative change across traditional industries, reimagining how goods and services are created (e.g., robotics), purchased (e.g., marketplaces), and fulfilled (e.g., supply chains). His experience across machine learning and company building, particularly outside of Silicon Valley, informs his work with founders in overlooked markets with strong tailwinds.
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John fell into machine learning in 2013 doing work for FiscalNote, a friend’s early NLP startup. He studied Cognitive Science at the University of Michigan, before dropping out to write for TechCrunch, where he chronicled the early days of deep learning with ~500 stories.

Because of his father’s neurological condition, his mom was their sole breadwinner, starting his family’s small business out of necessity. From an early age, John had exposure to factories and grew up helping them out every free moment he had, experiencing the financial crisis head-on. These experiences cemented his belief in the power of individuals to shape the world. In school, this meant being elected to serve on the board of one of the country’s largest school districts, today it means helping founders shape the world through AI and automation.

John has too many allergies. He loves music, history, culture and philosophy. While excited for our automated future, he’ll stick by his manual camera and road bike, and he’ll drive his own car to the bitter end.