Company

Industrial machine learning software

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Our mission at Fero Labs is to bring actionable 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 to support the next leap in industrial productivity.

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Berk Birand

Ph.D.

Chief Executive Officer

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 Kucukelbir

Ph.D.

Chief Scientist

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 Ozbay

Head of Operations

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 Gardner

Head of Engineering

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.

Elisabeth Rosen

Director of Marketing

Elisabeth specializes in content marketing and storytelling for technology startups, most recently as head of marketing at StreetCred, a location data platform recently acquired by Snap. Previously, she led content strategy for startups in the digital space including Advizr (acquired by Orion) and L2 (acquired by Gartner). She started her career as a journalist based in Hanoi, where she wrote about business and culture for publications including The Atlantic, The Guardian and The New York Times.

Alex Anastasia

Enterprise Account Executive

Alex started his career as a Systems & Networking Engineer for an integration company supporting the largest public school system in the country before taking on the role of Onsite Systems Engineer and Pre/Post Sales Engineer at Dell supporting NYC/NYS and Long Island local government. Alex then transitioned into Enterprise Solution Sales taking on an Account Executive role with Lenovo’s Hyper-converged and cloud solutions group before helping multiple SaaS and CDI startups build out their sales and channel teams.

Chloe Zeiss

HR Manager

Chloe is an HR Manager with a focus on change management and people development. Prior to joining Fero, Chloe was the People Operations Manager at Meero where she led human resources and office operations. Previously, she worked at Rocketrip where she focused on building out the people function and recruitment. Chloe is excited to build and support the team as Fero's machine learning technology impacts the industrial sector.

Tim Eschert

Business Operations Lead, EMEA

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.

Ayo Aridegbe

Quality Assurance Engineer Lead

Ayo is a lead QA engineer with experience in building QA teams and processes — he sees himself as a huge user advocate. He has had the privilege of working in the financial, agency, and media industry, leading QA efforts in assuring the quality of multiple projects across teams in different continents. At Fero, he is thrilled to lend his experience to build a quality product while embracing the opportunity to learn from the best.

Irma Ravkic

Ph.D.

Research Scientist

Irma holds a Ph.D. in computer science from University of Leuven, Belgium. Her research was about learning statistical models in relational domains. Her postdoc research at UCLA was at the intersection of neurology and computer science. Before joining Fero, Irma was an assistant professor of computer science at MSMU, Los Angeles where she worked on outreach initiatives to shrink diversity gaps in computer science.

Brian Yoo

Ph.D.

Applied Research Scientist

Brian is an applied research scientist with several years of experience working in the chemical industry. Before joining Fero, he was a computational chemist at BASF, where he specialized in modeling complex chemical systems and developing machine learning algorithms for formulation and materials design applications. Brian holds a Ph.D. and M.S. in chemical engineering from the University of Notre Dame, a B.S. in chemical engineering from UC Berkeley, and a master's degree in computer science from the University of Illinois Urbana-Champaign.

John Boudreaux

Industrial Data Scientist

John is a data scientist with extensive experience implementing machine learning in the manufacturing domain. Prior to joining Fero, he began his career as a chemical engineer with BASF and eventually pivoted to a role as a data scientist, focused on deploying machine learning for chemical plants worldwide. John holds a B.S. in Chemical Engineering from the University of Texas at Austin and a Master's of Information and Data Science from UC Berkeley.

William Brinkerhoff

Senior Software Engineer

Will is a senior software engineer with over a decade of experience working with data in organizations ranging from small startups to the US government. During this time he has created tools to make data in fields as diverse as signals intelligence, finance, and network security understandable and useful. He is looking forward to applying this expertise to industrial processes and machine learning.

Theodore Brundage

Senior Software Engineer

Ted is a senior software engineer with experience building clean engineering solutions to support explicable data models for machine learning systems in the financial and data sectors. Ted received a M.S.E. in Computer Science researching sparse Bayesian regression and an A.B. in Physics researching experimental quantum computing from Princeton University.

Luke Grecki

Senior Software Engineer

Luke is a senior software engineer with experience ranging from small startups to agencies with an emphasis on creating intuitive and maintainable data products, for user groups like small store owners and large gas utility companies. He is excited to apply his skills to help the industrial sector integrate novel machine learning technologies.

Alican Mutus

Senior Software Engineer

Alican is a senior software engineer with experience in building web technologies and data pipelines. In the past he has empowered people to gain better insights about their web presence through analytics. He enjoys learning new things, and sharing knowledge with others. He is enthusiastic about how software can influence efficiency and help lower environmental impact.

Paris Leach

Software Engineer

Paris is a software engineer at Fero Labs, where they implement new features and are constantly working with the team to improve Fero. They were previously at Blizzard Entertainment, where they gained experience in both writing tests and lending design insight so as to improve the experience of products for users. At Fero, they are able to fully actualize on their passion for creating intuitive tools to process, analyze and manage data.

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David Blei

Professor of Computer Science and Statistics at Columbia University

Noah Goodman

Professor of Computer Science and Psychology at Stanford University

Chris Wiggins

Associate Professor of Applied Mathematics and Statistics at Columbia University

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