Lonnie Chien

Lonnie Chien

Ph.D. Student in Computer Science at Cornell Tech

I am a first-year Ph.D. student in computer science at Cornell University advised by Thijs Roumen.

My current research in human-computer interaction (HCI) explores embodied interaction and haptic feedback for wearable devices—in particular, how multimodal output (e.g., proprioception, tactile) can improve input capabilities and accuracy.

I hold an M.S. in Computer Science from the University of Chicago, where I received pre-doctoral training from Pedro Lopes. I hold a B.S. in engineering and applied mathematics from Swarthmore College.

Recent News

View Older News
RingIO Teaser

RingIO: An Eyes-Free Smart Ring with Inputs via Touch and Outputs via Touch

Lonnie Chien, Pedro Lopes

Proc. ACM UIST 2026

Embodied Devices Teaser

Increasing Input Accuracy of Embodied Devices via Electrical Muscle Stimulation

Lonnie Chien, Yudai Tanaka, Noor Amin, Jas Brooks, Pedro Lopes

Proc. ACM CHI 2026

View Past Publications
Snow Sensors Teaser

Characterizing Snowpack with 60 GHz FMCW Millimeter-Wave Radar Sensors

Stijn Wielandt, Ivo Marković, Lonnie Chien, Diana Morales, Ryan Landon Crumley, Baptiste Dafflon, Reynold Cooper

Asilomar Conference on Signals, Systems, and Computers 2023

SIGMAXI Poster Teaser

Determination of nonlinearity parameter B/A of liquids by comparison with solutions of the three-dimensional Westervelt equation

Lonnie Chien, John M. Cormack, E. Carr Everbach, Mark Hamilton

Proc. Meetings on Acoustics 2021