Julia Ebert

  • Program Year: 3
  • Academic Institution: Harvard University
  • Field of Study: Computer Science and Bioengineering
  • Academic Advisor: Radhika Nagpal
  • Practicum(s):
    Lawrence Livermore National Laboratory (2018)
  • Degree(s):
    M.S. Bioengineering, Imperial College London, 2016; B.S. Behavioral Neuroscience, Northeastern University, 2015
  • Personal URL: http://juliaebert.com

Summary of Research

Researchers emulate the physical manifestation of biological systems in biomimetic robotics, but they still cannot mimic biological controllers because the neural basis of movement remains elusive. My goal is to develop new forms of biomimetic control based on neural control of movement in biological systems. This requires an understanding of the neural systems, as well as the ability to simulate and replicate these highly parallel processes. I plan to use recent advances in deep neural networks, spiking neuron models, and bio-inspired network design to create robust control for low-cost autonomous robots.


Julia Ebert, Melvin Gauci and Radhika Nagpal. 2018. Multi-feature collective decision making robot swarms. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 1711–1719.

Salah Bazzi, Julia Ebert, Neville Hogan and Dagmar Sternad. 2018. Stability and Predictability in Dynamically Complex Physical Interactions. In 2018 IEEE International Conference on Robotics and Automation (ICRA), 5540-5545.

Salah Bazzi, Julia Ebert, Neville Hogan and Dagmar Sternad. 2018. Stability and predictability in human control of complex objects. Chaos, 28, 10. DOI: https://doi.org/10.1063/1.5042090


2018 Distinction in Teaching, Harvard University
2016 National Science Foundation Graduate Research Fellowship honorable mention
2016 Hertz Fellowship finalist
2015 Marshall Scholarship
2014 Finalist for Rhodes, Fulbright, and Mitchell Scholarship
2013 Barry Goldwater Scholarship
2013 DAAD Undergraduate Scholarship