Berk holds a Ph.D. in electrical engineering and computer science from Columbia University. His academic research focused on optimizing wireless and optical networks with efficient cross-layer algorithms. He developed scheduling algorithms for LTE-A and fiber-optic networks. He holds a patent in IoT systems for resilient fiber-optic networks.
Alp is an expert in machine learning and probabilistic programming. He has over 6000 academic citations and has published multiple papers with David Blei and Andrew Gelman. He is an adjunct professor of computer science at Columbia University and leads the entrepreneurship efforts at Climate Change AI. 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.
Todd is a veteran software engineer with experience leading companies from their early stage to acquisitions by sector giants, such as Dropbox. He previously led infrastructure teams at Google, where he was responsible for managing big data storage. Todd is excited about the application of machine learning in industrial IoT.
Allison specializes in user experience and design for enterprise software and has experience with human-in-the-loop machine learning applications. Prior to joining Fero Labs, Allison led product design at Dataminr, a real-time AI platform that discovers breaking news from social media and other publicly available data sources. She started her career as a graphic designer creating branding and marketing materials for major lifestyle brands.
Tim has extensive experience in the automotive and robotics sector, ranging from startups to Fortune 20 companies. He holds a joint Bachelors and Masters degree in mechanical engineering and business administration from RWTH Aachen University. He is also a lecturer in Industrie 4.0 and the application of machine learning to this field.