May 2024 – Aug 2024 · 3 mos · Pittsburgh, Pennsylvania, United States · On-site

• Researcher at CMU LeCAR lab advised by Professor Guanya Shi.
• Research areas: whole-body control, embodied intelligence.

Apr 2023 – Aug 2023 · 4 mos · San Francisco Bay Area

• Visiting researcher @ MPC Lab with Prof. Francesco Borrelli
• (ICRA 2024) Learning Model Predictive Control (LMPC) with Error Dynamics Regression for Autonomous Racing: https://arxiv.org/abs/2309.10716

May 2021 – May 2024 · 3 yrs · United States

• Won 2nd and 3rd place in Indy Autonomous Challenge as principal technical lead.
• Architected AV software system for autonomous IndyCar in high-speed, multi-vehicle competitions.
• Developed MPC and trajectory optimization software for racing above 160 mph (260 km/h).
• Developed perception pipeline with Autoware.Universe and ROS2: 2D-3D detection, sensor fusion, and target tracking to address high-speed AV perception requirements.
• Managed simulation scenarios for ground-truth perception data collection and vehicle dynamics testing.
• Developed, validated, and deployed on-board autonomous software in the field.
• https://www.indyautonomouschallenge.com/
• https://www.hawaiiavtech.com/

Jun 2020 – Sep 2020 · 3 mos

• Developed autonomous robotic vehicle platform for undergraduate education
• Maintained platform software for machine learning to achieve driving, localization and navigation
• Communicated with hardware engineers and customers about on-board peripherals and APIs with the computer

Jan 2020 – Dec 2021 · 1 yr 11 mos

• MAE 148: Intro to Autonomous Vehicles
• ECE 101: Linear System Fundamentals
• ECE 65: Components and Circuits Laboratory

Jun 2020 – Aug 2022 · 2 yrs 2 mos · San Diego, California, United States

• Lead the technical development of UC San Diego's participation in the Indy Autonomous Challenge (IAC) through collaboration with AI Racing Tech.
• Participated in international self-driving racing competitions: Indy Autonomous Challenge, F1TENTH, EV Grand Prix.
• Led organizational management, technical developments, and sponsorships as Team Principal.
• Developed multi-sensory autonomous robotic racers (Innovative Triton-AI-Racer platform).
• Developed end-to-end deep learning autonomous stack for scaled robotic vehicles.
• http://triton-ai.eng.ucsd.edu/.
• https://github.com/Triton-AI/Triton-Racer-Sim.

Jan 2020 – Dec 2021 · 1 yr 11 mos · San Diego

• Developed and maintained VR software for the diagnosis of neurological conditions at San Diego Naval Hospital.
• Designed neurological data processing pipelines (e.g. pupil diameter data from eye tracker).
• Integrated data IO with existing interfaces.
• Worked on the Unity platform to generate visual stimulus in 3D space and measure hand-eye response with eye-tracking VR equipment.
• Collaborated with doctor in fieldwork for feedback.