I'm an NSF Graduate Research Fellow at CU Boulder, co-advised by Nikolaus Correll and Alessandro Roncone, working on tactile intelligence — the touch- and proximity-sensing, embedded AI, and physical reasoning that let robots perceive and safely respond to contact.
My primary focus is medical and assistive applications — bringing touch and proximity to prosthetics, wearables, and clinical robots that work safely alongside patients and caregivers.
Amputees can control bionic limbs but rarely feel what they hold. I want to close that loop — conformable skins at the prosthetic interface, coupling contact signals to nerve stimulation to restore the felt sense of touch.
Safe human augmentation — exoskeletons, supernumerary limbs, clinical robots — needs continuous knowledge of the user's physiological state. My goal: miniaturized, edge-deployed biosignal pipelines that adapt to the human in real time.
Began a research internship at the d'Arbeloff Laboratory at MIT — running human-subjects testing of a handlebar simulator designed to support balance and mobility in older adults.
Invited as a Peer Reviewer for SAB 2026 (Simulation of Adaptive Behavior, Springer/LNAI).
Awarded the NSF Graduate Research Fellowship (GRFP) — one of ~2,000 awarded nationally across all STEM fields.
EchoVision accepted to EIFCOM 2026 (co-located with ACM MobiSys).
Preparing "Robot Skin for All Robots: How Multi-Material Additive Manufacturing Can Reshape the Sensing Landscape of Robotics" for Science Robotics.
A low-cost, untethered bimanual mobile manipulator running fully autonomous policy inference on-board — no external servers.
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A toolbox for 3D-printed compliant robot skins with multimodal sensing — ToF, capacitive, magnetic, and EIT — that conform to any geometry.
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An NIH R21 proposal with the University of Houston — teaching a robot to grasp the way a nurse does, learning sterility from expert demonstrations.
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