Cornell University · Biomedical Engineering

Renze (Jeremy) Li.

I’m a Cornell student interested in wearables, 4D reconstruction, and AI. I like turning ideas into things people can try.

I’m drawn to entrepreneurship and the work of building a useful product. So far, that’s taken me from a climbing sleeve at a hackathon to health-data tools and a platform that helps students find research labs.

01 / Selected work

A few things I’ve built

All projects

CLYF

Hackathon prototype

A climbing sleeve that turns muscle signals into a visual dashboard

A solo weekend build: I connected muscle sensors to an Arduino and built the dashboard. The hardware demo shows grip activity; the recovery display is still an experimental estimate.

BigRed//Hacks 2026 · CornellRecorded hardware demo

AcadeLink

Live product

AI matching for students and research labs

Built with a team to make finding a research lab easier. We organized 2,000+ faculty profiles across 28 departments and reached 1,000+ users.

Team build1,000+ users

VitalClaw

In progress

A personal dashboard for wearable health data

A local tool that brings wearable data together and compares it with your usual patterns. I’m exploring how to make changes easier to notice and understand.

Open-source prototypePublic repo

CureBotix

Research prototype

Soft robot for targeted esophageal drug delivery

I built a small soft robot that uses a camera to find a target and release medication locally. The prototype completed that loop in tube tests.

Solo researchFirst-author manuscript

02 / Experience

Building & learning

Full experience

Sep 2025 – now

AcadeLink

Founder & Full-Stack Developer

AI matching that helps undergraduates find relevant research labs.

Jun 2026 – Aug 2026

SciWind Biosciences

AI for Science Intern

Used AI tools to explore protein structures for drug-delivery research.

Sep 2025 – May 2026

Nie Lab & Biosensors Lab

Undergraduate Researcher

Built XR imaging tools for tumor-surgery research.

03 / What’s next

From a prototype to something useful.

I like the whole process: finding a problem, making a first version, and figuring out whether it helps someone. I’m always up for talking with people working on wearables, 4D reconstruction, and AI.