I build robots that reason about the physical world — specializing in manipulation, dynamics modeling, and bridging simulation to reality. Currently finishing a PhD in Robotics Engineering at WPI.
I'm a PhD candidate at Worcester Polytechnic Institute, where I research active perception and parameter estimation for robot manipulation. My work focuses on letting robots figure out the physical properties of objects they've never encountered before — without being told in advance.
My background is rooted in analytical, model-based methods — robot dynamics, sim2real transfer, and model-based control. I'm increasingly combining these with modern machine learning to build systems that are both physically grounded and data-driven.
Before my PhD, I deployed and programmed autonomous mobile robots for Fortune 500 clients at Seegrid. I hold a B.S. in Mechanical Engineering from Columbia University. I'm looking for research engineer roles where physical grounding matters — where simulation meets hardware and systems ship.
Simulation environment in MuJoCo where a robot arm must estimate the mass and inertia of unknown objects during a manipulation task — using reinforcement learning rather than analytical estimators. Extension of PhD work into learned dynamics.
Multi-robot task allocation system using graph-based search to dynamically distribute robots across a manipulated payload. Optimizes coverage and throughput under real-time constraints.
Implemented a constraint-based haptic simulation framework for 3D interaction. Models contact forces and physical constraints to produce realistic tactile feedback in a virtual environment. Low-level OpenGL implementation with real-time performance.
Applied Deep Q-Network (DQN) to teach a simulated Franka robotic arm to pick objects in a structured environment. Trained entirely in simulation with a learned value function driving grasp selection — course final project for Deep RL (595).
Senior capstone project at Columbia: designed and built a tensegrity-based rolling robot for planetary exploration. The structure uses tensile integrity to survive impacts without rigid housing.
I'm actively looking for research engineer and applied scientist roles in robotics and robot learning, based in Boston. Open to relocation for the right opportunity.