CV

Education

  • 2022-
    PhD, Robotics (Ongoing)
    Robotics Institute, Carnegie Mellon University, Pittsburgh PA, USA
    • Algorithmic foundations for multi-robot systems.
      • Incorporating learned models (e.g., diffusion models) with graph search for flexible and efficient multi-robot coordination.
      • Applying my work to multi-arm manipulation.
      • Publications.
  • 2021
    BSc, Electrical Engineering and Computer Science
    Massachusetts Institute of Technology, Cambridge MA, USA
    • Minor in mathematics and a focus on robotics via research and coursework

Experience

  • 2022-
    Researcher and Teaching Assistant
    Robotics Institute, Carnegie Mellon University
    • Assisting with teaching the graduate class Planning and Decision-Making in Robotics (Fall 2024, Professor Maxim Likhachev).
    • Researching multi-robot coordination and manipulation via interleaving data-driven methods with classical planning.
  • 2022-2023
    Algorithm Engineer
    Indoor Robotics
    • Developed aerial autonomous robots operating in the wild.
      • Localization, mapping, and trajectory optimization using range, inertial, and visual inputs.
      • I was the technical lead in multiple mapping and visual/range localization projects.
  • 2020
    Research and Software Development Intern
    Amazon Robotics
    • Path planning algorithms for large-scale multi-agent settings.
  • 2019
    Robotics Software Development Intern
    Optimus Ride
    • Developed new techniques for motion planning and decision-making in complex traffic scenarios, leveraging semantic and geometric information.

Open Source Projects

Honors and Awards

  • 2024
  • 2005-2021
    Track And Field
    • MIT triple jump record holder, NCAA (DIII) Indoor/Outdoor national champion, National team (ISR).
    • I was fortunate to win some awards when at MIT- summary.