CV

Curriculum Vitae

Julia Ebert

PhD Candidate • Robotics Researcher

Education

Cambridge, MA
Harvard University
Advisor: Prof. Radhika Nagpal
2016 –
2019
PhD Candidate in Computer Science
Master of Science in Computer Science
London, UK
Imperial College London
Marshall Scholar
Advisors: Prof. Etienne Burdet, Dr. Ildar Farkhatdinov
Thesis: Assisting Balance Recovery with a Lower Limb Exoskeleton
2016
Master of Research in Bioengineering, with Distinction
Boston, MA
Northeastern University
GPA: 3.98 / 4.0, summa cum laude
Honors Thesis: Asymmetric Learning in an Asymmetric Bimanual Task
2015
Bachelor of Science in Behavioral Neuroscience, Minor in Computer Science

Peer-Reviewed Publications

J Ebert, M Gauci, F Mallmann-Trenn, and R Nagpal. 2020. Bayes Bots: Collective Bayesian Decision-Making in Decentralized Robot Swarms. In 2020 IEEE International Conference on Robotics and Automation (ICRA), 7186-7192.

I Farkhatdinov, J Ebert, G van Oort, M Vlutters, E van Asseldonk, and E 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

J Ebert, M Gauci, and R 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.

S Bazzi, J Ebert, N Hogan, and D 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

S Bazzi, J Ebert, N Hogan, and D Sternad. 2018. Stability and predictability in human control of complex objects. Chaos, 28, 10. DOI: 10.1063/1.5042090

Publications

See my publications page.

Grants and Scholarships

2016 – 2020
Department of Energy Computational Science Graduate Fellowship (DOE CSGF)
2015 – 2016
Marshall Scholarship
2014
Northeastern Provost Undergraduate Advanced Research Award
2013 – 2015
Barry Goldwater Scholarship
2013
Northeastern Provost Undergraduate Research Award
2013
DAAD Undergraduate Scholarship
2013
Northeastern Presidential Global Scholarship
2010 – 2015
Northeastern National Merit Scholarship

Awards

2018
Certificate of Distinction in Teaching, Harvard University Bok Center
2016
Finalist, Hertz Fellowship
2016
Honorable Mention, National Science Foundation Graduate Research Fellowship Program (NSF GRFP)
2015
Northeastern Honors in Behavioral Neuroscience (for thesis)
2015
Northeastern University Honors Program Distinction (for coursework)
2015
Northeastern Alex Skavenski Award for Behavioral Neuroscience
2015
Northeastern Sears B. Condit Award for academic achievement
2010 – 2015
Northeastern Dean’s List (6 semesters)
2015
Finalist; Rhodes, Fulbright, and Mitchell Scholarships

Research

For more information, see my research page.

Cambridge, MA
Harvard University Self-Organizing Systems Research Group
Prof. Radhika Nagpal
2016 –
2017 –
Multi-feature perception and decision making in robot collectives
LARVAbot: Locomotion of autonomous robots via aggregation
Livermore, CA
Lawrence Livermore National Laboratory
Dr. Michael Schneider
2018 –
Collaborative Autonomy for Space Situational Awareness
London, UK
Imperial College Human Robotics Group
Prof. Etienne Burdet and Dr. Ildar Farkhatdinov
2015 – 2016
Co-control of balance recovery in a lower limb exoskeleton
Boston, MA
Northeastern University Action Lab
Prof. Dagmar Sternad
2014 – 2015
2012 – 2015
2011 – 2012
Prediction and stability in control of objects with complex dynamics
Learning and long-term retention of an asymmetric bimanual task
Effects of central fatigue on cognitive and motor performance
Nahant, MA
Northeastern University Marine Science Center
Prof. Joseph Ayers
May – Aug. 2015
Neuro-inspired rheotaxis and antenna design in a robotic lobster
Watertown, MA
Interactive Motion Technologies
July – Sept. 2014
Integrated stroke assessment software in rehabilitation robotics
Tübingen, DE
Max Planck Institute for Intelligent Systems
Prof. Stefan Schaal
July – Dec. 2013
Learning and exploration in a novel dimensionality-reduction task

Conference Abstracts and Posters

J Ebert, M Gauci, and R Nagpal. 2019. Bayes Bots: Bayesian Decision-Making for Robot Swarms. Poster at DOE CSGF Program Review (14–18 July 2019). Washington, DC.

J Ebert, J Meyers, W Dawson, and M Schneider. 2018. Collaborative Autonomy for Space Situational Awareness. Poster at Lawrence Livermore National Laboratory Summer Student Poster Symposium (8 August 2018). Livermore, CA.

J Ebert, M Gauci, and R Nagpal. 2018. Multi-Feature Collective Decision Making in Robot Swarms. Poster at DOE CSGF Program Review (15–19 July 2018). Washington, DC.

J Ebert, C Teeple, E Steinhardt, and S Ramanathan. 2017. Infotaxis in a Multi-agent Sensor Network. Poster at DOE CSGF Program Review (24–27 July 2017). Washington, DC.

I Farkhatdinov, J Ebert, G van Oort, E van Asseldonk, and E Burdet. 2017. Human Balance Augmentation with Lower Limb Exoskeleton Robot. Poster at RehabWeek 2017 workshop: Towards a next generation of wearable robotic devices for human-oriented assistance and therapy (17 July 2017). London, UK.

J Ebert, I Farkhatdinov, G van Oort, E van Asseldonk, and E Burdet. 2016. Preliminary Study on Assisting Balance Recovery with Lower Limb Exoskeleton. Poster at EuroHaptics 2016 (4–7 July 2016). London, UK.

D Sternad, A Mukovskiy, J Ebert, and T Dijkstra. 2016. Dynamic Stability in the Control of Complex Objects. Poster at Biomechanics and Neural Control of Movement 2016 (12–17 June 2016). Mt. Sterling, OH.

J Ebert, S Park, and D Sternad. 2015. Asymmetric Learning in an Asymmetric Bimanual Task. Poster at Society for the Neural Control of Movement 25th Annual Meeting (20–24 April 2015). Charleston, SC.

J Ebert, A Mukovskiy, T Dijkstra, and D Sternad. 2015. Why You Don't Spill Your Coffee. Poster at Northeastern University Research, Innovation, and Scholarship Expo (RISE) (9 April 2015). Boston, MA.

J Ebert, S Kim, D Sternad, and S Schaal. 2014. Learning and exploration in a novel dimensionality-reduction task. Poster at Society for the Neural Control of Movement 24th Annual Meeting (20–25 April 2014). Amsterdam, NL.

J Ebert, S Park, and D Sternad. 2014. Asymmetric Learning in an Asymmetric Bimanual Task. Poster at Northeastern University Research, Innovation, and Scholarship Expo (RISE) (10 April 2014). Boston, MA.

J Ebert, S Park, and D Sternad. 2013. Asymmetric Learning in an Asymmetric Bimanual Task. Poster at Northeast Undergraduate Research and Development Symposium (2–3 March 2013). Biddeford, ME.

J Ebert, S Park, L Griffen, T O'Neil Pirozzi, and D Sternad. 2012. Central Fatigue in Cognitive and Motor Performance. Poster at Northeastern University Research, Innovation, and Scholarship Expo (RISE) (29 March 2012). Boston, MA.

Teaching and Mentoring

Cambridge, MA
Harvard University
Summer 2019
Fall 2018, Fall 2019
Fall 2018, Fall 2019
Spring 2018
REU mentor for Kilobot research and outreach project
Teaching staff, How To Make (Almost) Anything, Harvard section
Guest lecture, CS 289: Biologically-inspired Multi-agent Systems
Teaching fellow, CS 189: Autonomous Robot Systems
Boston, MA
Northeastern University
2014 – 2015
2012 – 2014
2011 – 2013
Teaching assistant, CS 2500: Fundamentals of Computer Science (2 semesters)
Tutor, CS 2500: Fundamentals of Computer Science (3 semesters)
Undergraduate mentor, Proactive Recruitment in Science and Mathematics (PRISM)

Outreach and Service

2017, 2018, 2020
Volunteer, Boston Public Schools Science Fair
2019
Marshall Scholarship Reading Committee
2018, 2019
Robot Design Judge, FIRST LEGO League
2018
Speaker, Science in the News fall lecture series: "Brains and Bodies: How to Make Smart Robots"
2018
Guest, Brains On! science podcast live show
2016
Volunteer, EuroHaptics 2016
2010 – 2015
Volunteer, Northeastern Civic Engagement Program
2014 – 2015
Student Ambassador, Northeastern College of Science
2014
Tutor team leader, TechBoston Academy
2014
Teacher, NEU Splash Program. Class: "This is your Brain"
2011 – 2013
Volunteer, Brigham and Women's Hospital
2010 – 2011
Mentor, Massachusetts General Hospital Youth Program

Skills

Programming
Python (including NumPy, Pandas, Django) • MATLAB • C/C++ (including OpenMP, AVR, Arduino) • HTML/CSS • LaTeX • JavaScript (including Vue.js) • Java
Fabrication
Laser cutting • 3D printing • Vinyl cutting • CNC milling • Electronics design (Eagle) and production • Soldering • Sewing • Molding and casting
Other
Computer-aided design (OnShape) • Database design • Linux • 3D motion capture • Kinematic and EEG data collection in human subjects

Relevant Coursework

Computer Science
Biologically-inspired Multi-agent Systems • Distributed Systems • Machine Learning • Network Algorithms • Computational Neurodynamics • Artificial Intelligence • Robotics
Science and Engineering
Laboratory Electronics • How to Make (Almost) Anything • Biomimetics • Comparative Neurobiology • Human Neuroanatomy • Biochemistry • Genetics and Molecular Biology • Organic Chemistry
Mathematics
Stochastic Methods for Data Analysis, Inference, and Optimization • Biological Signal Processing • Statistics and Data Analysis • Multivariable Calculus • Linear Algebra • Differential Equations

Activities and Interests

See more of what I'm doing for fun on my projects page.

Sport
Harvard University curling team • Imperial College and Goodenough College fencing clubs • Cycling
Music
Northeastern University pep band, drumline, and wind ensemble • Clarinet • Saxophone • Percussion
Other
3D printing • Web design and development • Graphic design • Writing • Baking