Daniel Grant

Robotics research engineer · Berkeley AI Research

I work on learning-based control for fixed-wing autonomous flight at the Agile Robotics and Perception Lab (ARPL), part of Berkeley AI Research.

Before ARPL I passed through Google DeepMind, NASA’s Advanced Supercomputing Division, Microsoft, and the Oxford Robotics Institute, among others.

I studied EECS at UC Berkeley (M.Eng.) and mathematics and computer science at Bowdoin College, with a year at Oxford in between. The rest of the time I’m climbing, running, rowing, or photographing wildlife.

Portrait of Daniel Grant

Past

Education

  • University of California, Berkeley — M.Eng., EECS (robotics & embedded software) · Fung Excellence Scholar 2025 – 26
  • Bowdoin College — B.A. mathematics · B.A. computer science · Phi Beta Kappa 2021 – 25
  • University of Oxford — visiting year, mathematics & computer science · First Class 2023 – 24

Publications