PhD Candidate 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
Multi-feature perception and decision making in robot collectives
Lawrence Livermore National Laboratory
Dr. Michael Schneider
Collaborative Autonomy for Space Situational Awareness
Imperial College Human Robotics Group
Prof. Etienne Burdet and Dr. Ildar Farkhatdinov
Co-control of balance recovery in a lower limb exoskeleton
Northeastern University Action Lab
Prof. Dagmar Sternad
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
Northeastern University Marine Science Center
Prof. Joseph Ayers
Neuro-inspired rheotaxis and antenna design in a robotic lobster
Interactive Motion Technologies
Integrated stroke assessment software in rehabilitation robotics
Max Planck Institute for Intelligent Systems
Prof. Stefan Schaal
Learning and exploration in a novel dimensionality-reduction task
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
Distinction in Teaching, Harvard University
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
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.
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