Julia Ebert

  • Program Years: 2016-2020
  • Academic Institution: Harvard University
  • Field of Study: Computer Science and Bioengineering
  • Academic Advisor: Radhika Nagpal
  • Practicum(s):
    Lawrence Livermore National Laboratory (2018)
  • Degree(s):
    MRes Bioengineering, Imperial College London, 2016; BS Behavioral Neuroscience, Northeastern University, 2015

Current Status

  • Status: PhD candidate in Computer Science, Harvard University
  • Research Area: Computer Science (Robotics)
  • Personal URL: https://juliaebert.com


Julia Ebert, Melvin Gauci, Frederik Mallmann-Trenn, and Radhika Nagpal. Bayes Bots: Collective Decision-Making in Decentralized Robot Swarms. ICRA 2020.

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

Ildar Farkhatdinov, Julia Ebert, Gijs van Oort, Mark Vlutters, Edwin van Asseldonk and Etienne Burdet. 2019. Assisting Human Balance in Standing with a Robotic Exoskeleton. IEEE Robotics and Automation Letters, 4, 2, 414-421. DOI: 10.1109/LRA.2018.2890671

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. DOI: 10.1109/ICRA.2018.8460774

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


2020 Siebel Scholar
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 Scholarships
2013 Barry Goldwater Scholarship
2013 DAAD Undergraduate Scholarship