Tom Hagander
Control And AOCS Engineer at NewOrbit Space
Reading, England, United Kingdom
Summary
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Senior🎓
Top SchoolTom Hagander is a Control and AOCS Engineer with eight years of experience combining aerospace systems engineering, machine learning and fault detection for spacecraft and propulsion systems. Currently unlocking ULEO at NewOrbit Space, he designs attitude and orbit control systems informed by prior hands-on propulsion test analytics at Rocket Factory Augsburg and real-time HIL fault-detection work at Caltech. He holds an MSc in Engineering Physics (4.96/5.00) with specializations in ML and automatic control and has published on decentralized deep learning strategies under distributional shift. Tom co-founded a data-driven ML consultancy that built large-scale AWS pipelines and time-series FDIR for IoT, showing he can move algorithms into production. Based in Stony Stratford, he blends rigorous research experience with practical lab and launch operations—often tackling sensor redundancy and robustness problems that bridge software, hardware, and flight test.
8 years of coding experience
Master of Science - MS, Engineering Physics, 4.96 / 5.00, Master of Science - MS, Engineering Physics, 4.96 / 5.00 at Lunds tekniska högskolaUniversity of California, Los AngelesProgramming languages (1)
Github contributions (5)
tomhagander/gitserver
Apr 2022 - May 2022
Contributions:31 commits, 22 pushes, 1 branch in 12 days
tomhagander/themachinelearns
Oct 2022 - Dec 2022
Contributions:18 pushes, 1 branch in 2 months
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