[Curriculum Vitae]

I am an Applied Scientist at Amazon Lab126, working on embodied AI systems and autonomous robotics. My work spans multi-modal foundation models, synthetic data generation, and high-fidelity simulation systems for robot development and testing.

Areas of Expertise

  • Simulation & Digital Twins: Environment generation, 3D Gaussian Splatting, sim-to-real transfer
  • Foundation Models: Audio-visual models, scene understanding, synthetic data pipelines for model training
  • Human-Robot Interaction: Human motion synthesis, activity recognition, semantic environment mapping
  • Robotic Perception: SLAM, sensor simulation (LiDAR, IMU, cameras), visual perception pipelines

Previously, I was a graduate student at University of Pennsylvania in the Electrical and Systems Engineering department. At Penn, I worked at the GRASP Lab with Professor Kostas Daniilidis on curiosity-driven learning and semantic goal navigation, and at the PRECISE Center with Professor Rahul Mangharam on perception pipelines for autonomous vehicles.

My research has been published at venues including CoRL, ICLR, ROMAN, and NeurIPS, with work featured in MIT Technology Review.