Location San Francisco, California, United States Regions San Francisco Bay Area, West Coast, Western US Gender Male
Website vincentkarpf.com LinkedIn View on LinkedIn
Vincent Karpf is VP of Research at Autopoiesis Sciences, working on advanced AI systems and machine learning research, specializing in autonomous AI agents and self-improving research systems. Prior to Autopoiesis Sciences, Vincent was a Data Scientist at KONE, where he built end-to-end machine learning pipelines. Earlier in his career, Vincent
worked as a Tech Engineer in Venture Development at Enpal, designing software automations and ML solutions for scalable growth, and as a Data Analyst at KoRo, building models to drive business insights. He also worked in strategy consulting at EY, developing data-driven methodologies to quantify industry supply-chain risk. Vincent graduated with a Master's degree in Analytics from UC Berkeley's College of Engineering with a 4.0 GPA, where his team placed first in the Google Case Competition. He holds a Bachelor of Business Administration from Humboldt University of Berlin, graduating top of his cohort. Vincent is a recipient of both the Fulbright Scholarship and the Master of Analytics Scholarship from UC Berkeley.
