RUOLAN CHEN

Collaborated on an AI-powered rental platform that matches tenants and landlords through smart filtering, automated negotiation, and real-time notifications. Contributed to product design, interaction flows, and feature specification across the full mobile experience.

Designed the interaction system for a VR-native 3D modeling tool, mapping creation, editing, and global settings across two-handed controller gestures. Features include primitive creation, color/scale/mesh editing, grab move, and sphere select.

AI Feature Intern at VIGGLE.ai. For MULTI (multi-character animation), built an evaluation dataset covering diverse human-occlusion scenarios, used SAM for multi-person tracking annotation and JST-1 for inference testing, and surfaced key failure modes — clothing-texture-induced tracking drift and body-shape-related generation inconsistency — to inform model iteration. For Mic (text/audio-to-video), researched extensions across voice-driven character interactions, AI music videos, RVC-based voice cloning, and audio-driven character animation; built TTS and RVC API demo integrations and delivered a feasibility report — the voice-cloning direction was later adopted in Mic 2.0. Also explored integrating Viggle's internal API into ComfyUI workflows and presented findings to the team.

3-person INFO 5304 (Data Science in the Wild) team project at Cornell Tech. Owned the Spotify-API + Kaggle data pipeline, then ran preregistered tests on whether AI-generated playlists differ from user-curated ones in audio-feature homogeneity (Levene's test) and artist diversity (Welch's t-test), plus standardized OLS regression for feature importance. Headline finding: AI playlists are more homogeneous, but counter to intuition, humans repeat artists more. View on GitHub →

Team lead on a VR fitness training system integrating XR Interaction Toolkit with real-time motion tracking. Oversaw project development and ensured seamless integration of VR technology with home-based training — delivering an immersive experience for volleyball enthusiasts with limited space.