Research vision

Augmentation without surrender.

I am interested in technologies that add capability without taking over the person: robotic rehabilitation, wearable sensing, adaptive feedback, and cognitive support systems that help people remain active, independent, and themselves.

The animating question is simple: how can hardware, software, and the human nervous system work together so we can recover better, perform better, and age with more agency?

Personalized human augmentation schematic with wearable sensors, AI models, and exoskeleton support
Personalized data → AI optimization → augmented ability
My version of "superhuman" is not a cyborg fantasy. It is a person who can keep moving, choosing, remembering, adapting, and participating in life.

Research Pillars

These are the threads I want to keep weaving together: assistive robotics, wearable sensing, human-centered AI, rehabilitation, performance, aging, and independence.

Rehabilitation robotics

Designing modular systems for home-based post-stroke upper-limb therapy that are engaging, measurable, and easier to live with.

Wearable sensing

Capturing motion, effort, fatigue, physiology, and context to support real-time feedback and long-term insight.

Human-in-the-loop systems

Creating adaptive tools that respond to the user's goals, state, and preferences while keeping the user in control.

Cognitive support

Exploring technologies that can help protect planning, memory, working memory, and confidence when cognition becomes fragile.

Active aging

Building toward systems that help people stay mobile, adventurous, and socially engaged without being confined by age or diagnosis.

Health beyond the clinic

Moving assistive and rehabilitative technology into homes, trails, gyms, workplaces, and everyday routines.

Design Principles

The goal is not to make impressive machines in isolation. The goal is to make systems that people can trust, wear, understand, repair around, and actually want near their bodies.

Agency first

Assistance should expand the user's choices, not narrow them.

Close the loop

Sense what matters, interpret it carefully, respond helpfully, and learn from the person.

Build for real life

Homes are messy, bodies vary, motivation changes, and good technology respects that.

Visual Directions

These are image concepts that would make the research page feel more memorable while avoiding generic robot-hand cliches.

Outdoor body-interface portrait

A runner or hiker in a real landscape with subtle transparent overlays showing sensors, muscle activity, and decision feedback.

Editorial photo, human in motion outdoors, subtle wearable sensor overlays, warm natural light, hopeful, no sci-fi armor.

Home rehab loop

A calm home scene where a person uses a compact upper-limb rehabilitation robot with approachable hardware and clear feedback.

Human-centered rehabilitation robot at home, compact modular device, friendly clinical realism, soft daylight, no hospital gloom.

Memory support interface

A dignified cognitive-assist concept: reminders, context, and planning support as ambient cues rather than intrusive screens.

Older adult living independently with ambient cognitive support, gentle visual cues, dignified, warm, practical, no surveillance aesthetic.