Education

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

Research

Cambridge, MA
Harvard University Self-Organizing Systems Research Group
Prof. Radhika Nagpal
2017 –
2016 –
LARVAbot: Locomotion of autonomous robots via aggregation
Multi-feature perception and decision making in robot collectives
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

Grants and Scholarships

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

Awards

2018
Distinction in Teaching, Harvard University
2016
Finalist, Hertz Fellowship
2016
Honorable Mention, National Science Foundation Graduate Research Fellowship Program (NSF GRFP)
2015
Northeastern University Honors Program Distinction
2015
Northeastern Honors in Behavioral Neuroscience
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

Papers

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

Ildar Farkhatdinov, Julia Ebert, Geiss van Oort, Edwin van Asseldonk and Etienne Burdet. 2018. Experiments on Human Balancing Co-Control in Standing. Submitted to IEEE RA-L.

Se-Woong Park, Julia Ebert and Dagmar Sternad. Asymmetric Learning in an Asymmetric Bimanual Task. In preparation.

Conference Abstracts and Posters

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

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

Julia Ebert, Clark Teeple, Emma Steinhardt and Sharad Ramanathan. 2018. Infotaxis in a Multi-agent Sensor Network. Poster at DOE CSGF Program Review (24–27 July 2017). Washington, DC.

Ildar Farkhatdinov, Julia Ebert, Geiss van Oort, Edwin van Asseldonk and Etienne 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.

Julia Ebert, Ildar Farkhatdinov, Geiss van Oort, Edwin van Asseldonk and Etienne Burdet. 2016. Preliminary Study on Assisting Balance Recovery with Lower Limb Exoskeleton. Poster at EuroHaptics 2016 (4–7 July 2016). London, UK.

Dagmar Sternad, Albert Mukovskiy, Julia Ebert and Tjeerd 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.

Julia Ebert, Se-Woong Park and Dagmar 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.

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

Julia Ebert, S Kim, Dagmar Sternad and Stefan 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.

Julia Ebert, Se-Woong Park and Dagmar Sternad. 2014. Asymmetric Learning in an Asymmetric Bimanual Task. Poster at Northeastern University Research, Innovation, and Scholarship Expo (RISE) (10 April 2014). Boston, MA.

Julia Ebert, Se-Woong Park and Dagmar Sternad. 2013. Asymmetric Learning in an Asymmetric Bimanual Task. Poster at Northeast Undergraduate Research and Development Symposium (2–3 March 2013). Biddeford, ME.

Julia Ebert, Se-Woong Park, L Griffen, T O'Neil Pirozzi and Dagmar 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

Cambridge, MA
Harvard University
Fall 2018
Spring 2018
Teaching Staff, How To Make (Almost) Anything, Harvard section
Teaching Fellow, CS 189: Autonomous Robot Systems
Boston, MA
Northeastern University
2014 – 2015
2012 – 2014
2011 – 2013
Teaching Assistant, CS 2510: Fundamentals of Computer Science (2 semesters)
Tutor, CS 2510: Fundamentals of Computer Science (3 semesters)
Undergraduate Mentor, Proactive Recruitment in Science and Mathematics (PRISM)

Outreach and Service

2018
Guest, Brains On! science podcast live show
2017, 2018
Volunteer, Boston Public Schools Science Fair
2016
Volunteer, EuroHaptics 2016
2010 – 2015
Volunteer, Northeastern Civic Engagement Program
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 Django, NumPy) • MATLAB • C/C++ (including OpenMP, AVR, Arduino) • HTML/CSS • LaTeX • JavaScript • Java
Fabrication
Laser cutting • 3D printing • Vinyl cutting • CNC milling, ShopBot • Electronics design (Eagle) and production • Soldering • Sewing • Molding and casting
Other
Computer-aided design (OnShape) • Database design • Linux • Embedded programming • 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
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

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
Web design and development • Graphic design • Writing • Baking