Our mission at Fero Labs is to bring cutting-edge machine learning to the industrial sector. We believe that factories around the world can use machine learning to optimize production, reduce waste, and improve quality. We are building Fero, the industrial machine learning platform, to support the next leap in industrial productivity.
Berk holds a Ph.D. in electrical engineering from Columbia University, where he worked on optimizing wireless and optical networks with efficient cross-layer algorithms. He developed scheduling algorithms for LTE-A networks that support connections from several base stations. He also holds a patent in resilient fiber-optical systems.
Alp is an expert in machine learning and probabilistic programming. He has published multiple papers with David Blei and Andrew Gelman. He is also an adjunct professor of computer science at Columbia University. Alp received his Ph.D. from Yale University, where he won the best thesis award.
Pamir has worked as a strategy consultant and sales engineer for industry leaders including Toshiba-Mitsubishi-General Electric and Siemens. He has extensive international experience supporting customers in the metals, paper, mining, oil and gas, renewables, logistics, and transportation industries. Pamir holds an MBA from the London Business School and an M.S. in electrical engineering from Columbia University.