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Aaron Young

Graduate Student
Massachusetts Institute of Technology (MIT)
aryoung at mit dot edu


I’m a Mechanical Engineering (Course 2) graduate research assistant in the MIT Media Lab and am advised by Ramesh Raskar. Before arriving at MIT, I received my Bachelor’s Degree in Mechanical Engineering and Computer Sciences at the University of Wisconsin - Madison under the direction of Prof. Dan Negrut. My research interests include robotics, simulation, and deep learning. I’m particularly interested in the co-design of intelligent software and intelligent hardware to improve upon human-engineered systems.


2023 - Now

Massachusetts Institute of Technology

Graduate Student

I've joined the Camera Culture group in the MIT Media Lab advised by Ramesh Raskar. I received my master's in February 2025.

2018 - 2022

University of Wisconsin - Madison

BS in Mechanical Engineering and Computer Science

I double majored in Mechanical Engineering and Computer Science. I spent most of my time in the Simulation-Based Engineering Laboratory, led by Prof. Dan Negrut, and as president of Wisconsin Autonomous.

2022

Neuralink

Robot Software Intern
2021

Tesla

Autopilot Engineer Intern
2021

NASA Jet Propulsion Laboratory (JPL)

Software Engineering Intern

selected publications

  1. eyes.png
    What if Eye...? Computationally Recreating Vision Evolution
    Kushagra Tiwary*, Aaron Young*, Zaid Tasneem, and 6 more authors
    arXiv preprint arXiv:2501.15001, 2025
    Under Review
  2. robospad.jpg
    Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR
    Aaron Young*, Nevindu M Batagoda*, Harry Zhang, and 4 more authors
    arXiv preprint arXiv:2410.03555, 2025
    Accepted to ICRA 2025
  3. iris.png
    IRIS: Inter-planetary Rendering for Imaging and Sensors
    Carolina Aiazzi, Abhinandan Jain, Aaron Gaut, Aaron Young, and 1 more author
    In AIAA SciTech Forum, 2022
  4. enabling-ai-studies.png
    Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios
    Aaron Young, Jay Taves, Asher Elmquist, and 3 more authors
    In International Conference on Multibody Systems, Nonlinear Dynamics, and Control, 2021
    Best Paper Award
  5. synchrono.png
    Synchrono: A Scalable, Physics-Based Simulation Platform for Testing Groups of Autonomous Vehicles And/or Robots
    Jay Taves, Asher Elmquist, Aaron Young, and 1 more author
    In IEEE/RSJ In-ternational Conference on Intelligent Robots and Systems, 2020