[about]

Hi there! I’m a PhD candidate in Mechanical Engineering at Northwestern University, working at the intersection of assistive robotics, human-machine interfaces, and machine learning. I conduct my research in Dr. Brenna Argall’s lab (argallab), housed within the Shirley Ryan AbilityLab, where I design and evaluate adaptive control systems for individuals with severe motor impairments.

My work combines statistical modeling, generative methods, and embedded systems to build interfaces that personalize themselves to the user. This can be done via intent disambiguation, the application of shared autonomy, or through zero-force sensing (for small residual movements). I’ve led multi-session human-subject studies, developed ROS2-based infrastructure for wearable IMUs, and designed control algorithms that aim to reduce cognitive and physical burden for users with conditions such as spinal cord injury, stroke, and various neurodegenerative conditions.

Before grad school, I earned dual degrees in Physics (B.S.) and Folklore (B.A.) from Indiana University. This combination continues to inform my approach to problem-solving, systems thinking, and inclusive design. I also completed a Master of Science in Robotics (MSR) at Northwestern.

I love learning, building, and collaborating across disciplines. Feel free to get in touch if you’re looking to connect on human-centered robotics, generative modeling, or user-driven design.

[NOTE] 👉 click here to view my C.V.

Research interests

• Assistive Technology and Shared Autonomy
• Human-Robot Interaction
• Control Interface Design
• Latent Space Modeling
• Shared Autonomy and Intent Recognition
• Inclusive Research Methodologies