Hi, I’m an undergraduate at Cornell University studying CS and Math. I build software across web, backend, and XR, with research interests in Ubiquitous Computing and Physiological Computing.
At Cornell, I work with Prof. Cheng Zhang in the SciFi Lab, where I co-developed SonicFit, a smartwatch-only full-body pose tracking system. I’m also a BCI subteam member in Cornell XR, building EEG-based XR control systems.
Currently, I’m interning in the Pervasive HCI Group, working on extracting heart rate from treadmill-walking facial videos with Prof. Yuntao Wang.
Please feel free to contact me via sl3595@cornell.edu.
Pervasive HCI Group, Tsinghua University
Developed a motion-robust multimodal rPPG system that jointly learns from facial video, ring PPG, and IMU signals under ECG supervision to estimate heart rate during intensive exercise.
SciFi Lab, Cornell University
Co-developed SonicFit, a smartwatch-based full-body exercise pose tracking system that fuses IMU and active-acoustic echoes, achieving 8.61 +/- 0.818 cm MPJPE on a 3.6M-frame, 21-participant dataset.
Cornell University Extended Reality Project Team
Contributed to a Muse EEG-based XR navigation project, collecting four-class movement-intent data and modifying 2 Unity XR environments for Meta Quest deployment and synchronized EEG data collection.
IMWUT 2026 Under Review
Full-body pose tracking from a single smartwatch by fusing wrist IMU data with active-acoustic echo profiles, achieving 8.61 ± 0.818 cm MPJPE on a 3.6M-frame, 21-participant dataset.
Private-network monitoring dashboard for Linux GPU servers with live resource telemetry and read-only terminal visibility.
Outdoor route planner for running, hiking, and cycling, with Strava import, GPX/KML uploads, and guided route generation powered by OpenStreetMap and a Spring Boot routing service.
AI nail try-on and merchant operations prototype serving 57 nail styles through a FastAPI backend.
A brain-computer interface project for controlling VR navigation with EEG signals.
