Amit combines a strong technical background with business finance and operational experience in management consulting, finance and small business operations / growth. He previously co-founded Ventions in 2005, a launch vehicle company that performed over $18M of DARPA / NASA R&D, and successfully exited the venture following its transition to commercial operations as Astra Space in 2016.
Amit holds a B.S. in Engineering and Applied Science from Caltech, and a M.S. / Ph.D. in Aeronautics and Astronautics from MIT. He is also a CFA charterholder.
Constantine has almost two decades of experience in developing complex machine learning and pattern recognition algorithms, with previous tenures in the finance industry, Kana Communications, MIT’s AI Laboratory and BBN.
Constantine holds a Ph.D. and M.S. in Computer Science from MIT, and a B.S. in Math and Computer Science from Carnegie Mellon. He is also a CFA charterholder.
Scott has 20 years of progressive business and technical leadership experience, including P&L accountability and cross-functional management of a $65M product portfolio. Most recently, he also founded and led the New Space Group within Moog.
Scott holds a B.S. in Mechanical Engineering from Clarkson and an M.S. in Mechanical Engineering from RPI.
Ian has over 15 years of experience in the design and implementation of GNC systems for a variety of launch vehicle and platforms. Previous tenure has included Ventions / Astra Space, Altius Space Machines, Masten Space Systems, Princeton Satellite Systems, Draper’s Human Spaceflight Office and Space Navigation Group, MIT’s Controls Lab and Space Systems Lab, and NASA Glenn’s Controls Branch.
Ian holds and a B.S. and M.S. in Aeronautics and Astronautics from MIT.
Evan is focused on mechanical design of NOVI’s spacecraft and other related hardware. Previous tenure has included the UB Nanosatellite Laboratory (GLaDOS satellite development) and Planetary Systems Corporation.
Evan holds a B.S. in Aerospace and Mechanical Engineering from the State University of New York at Buffalo.
Zach is an experienced machine learning engineer with background in the marketing and advertising industry developing optimization algorithms for audio transcription and NLP. Previous tenure has included Big Mirror Labs, Freestar, Comcast and the Conservation Services Group.
Zach holds a B.S. in Aerospace and Aeronautical Engineering and an M.S. in Applied Mathematics from RPI.