PhD Candidate in Computer Science
SM in Computer Science
Advisor: Prof. Radhika Nagpal
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
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
Harvard University Self-Organizing Systems Research Group
Prof. Radhika Nagpal
LARVAbot: Locomotion of autonomous robots via aggregation
Designing and manufacturing a collective of 3D-printed robots to perform aggregate locomotion, inspired by the movement of sawfly larvae.
Multi-feature perception and decision making in robot collectives
Developing Bayesian and bio-inspired algorithms for collective decision-making in Kilobot robots, in both simulation and physical robots, including developing a parallelized, high-throughput Kilobot simulator.
Lawrence Livermore National Laboratory
Dr. Michael Schneider
Collaborative Autonomy for Space Situational Awareness
Developing a simulator for testing collective observation by low earth orbit satellite constellations.
Imperial College Human Robotics Group
Prof. Etienne Burdet and Dr. Ildar Farkhatdinov
Co-control of balance recovery in a lower limb exoskeleton
Developed algorithms for human-robot co-control of the LOPES exoskeleton in both standing a walking balance recovery, and tested with human participants.
Northeastern University Action Lab
Prof. Dagmar Sternad
Prediction and stability in control of objects with complex dynamics
Programmed HapticMaster robot (C++) for human-subject experiments and conducted pilot experiments.
Learning and long-term retention of an asymmetric bimanual task
Designed and programmed experiments to assess ability of humans to learn a motor task with rhythmic and discrete components. Conducted multi-month data collection (including with EEG) and analysed results (Matlab) for Honors thesis.
Effects of central fatigue on cognitive and motor performance
Analyzed data (Matlab) to assess the effect of a prolonged motor experiment on cognitive fatigue in human subjects.
Northeastern University Marine Science Center
Prof. Joseph Ayers
Neuro-inspired rheotaxis and antenna design in a robotic lobster
Contributed to development of flex-sensing antennae for lobster-inspired robot. Developed neuron-based biomimetic control (LabView) for using antennae to adjust robot control in response to water currents.
Interactive Motion Technologies
Integrated stroke assessment software in rehabilitation robotics
Developed a backend and interface (Python + Django) for integrating stroke assesment tools for clinicians into the rehabilitation robot interface.
Max Planck Institute for Intelligent Systems
Prof. Stefan Schaal
Learning and exploration in a novel dimensionality-reduction task
Designed a learning task in which subjects learned to map high-dimensional hand joint movements to move a 2D cursor, and conducted pilot experiments.
Grants and Scholarships
Department of Energy Computational Science Graduate Fellowship (DOE CSGF)
Northeastern Provost Undergraduate Advanced Research Award
Barry Goldwater Scholarship
Northeastern Provost Undergraduate Research Award
DAAD Undergraduate Scholarship
Northeastern Presidential Global Scholarship
Northeastern National Merit Scholarship
Certificate of Distinction in Teaching, Harvard University Bok Center
Finalist, Hertz Fellowship
Honorable Mention, National Science Foundation Graduate Research Fellowship Program (NSF GRFP)
Northeastern University Honors Program Distinction
Northeastern Honors in Behavioral Neuroscience
Northeastern Alex Skavenski Award for Behavioral Neuroscience
Northeastern Sears B. Condit Award for academic achievement
Northeastern Dean’s List (6 semesters)
Finalist; Rhodes, Fulbright, and Mitchell Scholarships
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
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.
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
2018. Stability and predictability in human control of complex objects. Chaos, 28, 10. DOI: 10.1063/1.5042090
Asymmetric Learning in an Asymmetric Bimanual Task. In preparation.
Conference Abstracts and Posters
2019. Bayes Bots: Bayesian Decision-Making for Robot Swarms. Poster at DOE CSGF Program Review (14–18 July 2019). Washington, DC.
2018. Collaborative Autonomy for Space Situational Awareness. Poster at Lawrence Livermore National Laboratory Summer Student Poster Symposium (8 August 2018). Livermore, CA.
2018. Multi-Feature Collective Decision Making in Robot Swarms. Poster at DOE CSGF Program Review (15–19 July 2018). Washington, DC.
2018. Infotaxis in a Multi-agent Sensor Network. Poster at DOE CSGF Program Review (24–27 July 2017). Washington, DC.
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.
2016. Preliminary Study on Assisting Balance Recovery with Lower Limb Exoskeleton. Poster at EuroHaptics 2016 (4–7 July 2016). London, UK.
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.
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.
2015. Why You Don't Spill Your Coffee. Poster at Northeastern University Research, Innovation, and Scholarship Expo (RISE) (9 April 2015). Boston, MA.
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.
2014. Asymmetric Learning in an Asymmetric Bimanual Task. Poster at Northeastern University Research, Innovation, and Scholarship Expo (RISE) (10 April 2014). Boston, MA.
2013. Asymmetric Learning in an Asymmetric Bimanual Task. Poster at Northeast Undergraduate Research and Development Symposium (2–3 March 2013). Biddeford, ME.
2012. Central Fatigue in Cognitive and Motor Performance. Poster at Northeastern University Research, Innovation, and Scholarship Expo (RISE) (29 March 2012). Boston, MA.
Guest lecture, CS 289: Biologically-inspired Multi-agent Systems
Teaching staff, How To Make (Almost) Anything, Harvard section
Teaching fellow, CS 189: Autonomous Robot Systems
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
Robot Design Judge, FIRST LEGO League Newton Qualifier
Speaker, Science in the News fall lecture series: "Brains and Bodies: How to Make Smart Robots"
Guest, Brains On! science podcast live show
Volunteer, Boston Public Schools Science Fair
Volunteer, EuroHaptics 2016
Volunteer, Northeastern Civic Engagement Program
Tutor team leader, TechBoston Academy
Teacher, NEU Splash Program. Class: "This is your Brain"
Volunteer, Brigham and Women's Hospital
Mentor, Massachusetts General Hospital Youth Program
Laser cutting • 3D printing • Vinyl cutting • CNC milling, ShopBot • Electronics design (Eagle) and production • Soldering • Sewing • Molding and casting
Computer-aided design (OnShape) • Database design • Linux • Embedded programming • 3D motion capture • Kinematic and EEG data collection in human subjects
Biologically-inspired Multi-agent Systems • Distributed Systems • Machine Learning • Network Algorithms • Computational Neurodynamics • Artificial Intelligence • Robotics
How to Make (Almost) Anything • Biomimetics • Comparative Neurobiology • Human Neuroanatomy • Biochemistry • Genetics and Molecular Biology • Organic Chemistry
Stochastic Methods for Data Analysis, Inference and Optimization • Biological Signal Processing • Statistics and Data Analysis • Multivariable Calculus • Linear Algebra • Differential Equations
Activities and Interests
Harvard University curling team • Imperial College and Goodenough College fencing clubs • Cycling
Northeastern University pep band, drumline, and wind ensemble • Clarinet • Saxophone • Percussion
Web design and development • Graphic design • Writing • Baking